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diff --git a/app/main.py b/app/main.py
index 866431d..56d9f46 100644
--- a/app/main.py
+++ b/app/main.py
@@ -25,6 +25,11 @@ app = FastAPI(title="POS Object Detection API", description="Fruit & Vegetable c
 # Initialize detector
 detector = FruitVegetableDetector()
 
+# Global variable to track active training process
+current_training_process = None
+
+import re
+
 # Paths
 BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
 STATUS_FILE = os.path.join(BASE_DIR, "training_status.json")
@@ -41,6 +46,7 @@ class TrainRequest(BaseModel):
 class CaptureRequest(BaseModel):
     image: str
     class_name: str
+    bbox: dict = None  # Optional client-side bounding box dictionary
 
 class SaveArticlesRequest(BaseModel):
     articles: dict
@@ -48,6 +54,13 @@ class SaveArticlesRequest(BaseModel):
 class ScanRequest(BaseModel):
     class_name: str
 
+class CalibrateRequest(BaseModel):
+    image: str
+
+class DeleteCaptureRequest(BaseModel):
+    filename: str
+
+
 # Serve frontend static files
 static_path = os.path.join(os.path.dirname(__file__), "static")
 os.makedirs(static_path, exist_ok=True)
@@ -75,6 +88,78 @@ def write_training_status(status_dict):
     with open(STATUS_FILE, "w") as f:
         json.dump(status_dict, f, indent=2)
 
+def is_safe_filename(filename: str) -> bool:
+    return re.match(r"^user_capture_\d+\.jpg$", filename) is not None
+
+def calculate_auto_crop_bbox(image_rgb: np.ndarray, background_path: str, threshold: int = 25) -> list:
+    """
+    Compares the current image with the saved background.
+    Returns normalized YOLO bounding box [x_center, y_center, width, height] if found, else None.
+    """
+    if not os.path.exists(background_path):
+        return None
+    try:
+        # Load background image
+        bg_img = cv2.imread(background_path)
+        if bg_img is None:
+            return None
+        # Convert to grayscale
+        bg_gray = cv2.cvtColor(bg_img, cv2.COLOR_BGR2GRAY)
+        
+        # Ensure they have the same dimensions
+        h_img, w_img, _ = image_rgb.shape
+        if bg_gray.shape[0] != h_img or bg_gray.shape[1] != w_img:
+            bg_gray = cv2.resize(bg_gray, (w_img, h_img))
+            
+        # Convert current image to grayscale (assuming input is RGB)
+        curr_gray = cv2.cvtColor(image_rgb, cv2.COLOR_RGB2GRAY)
+        
+        # Calculate absolute difference
+        diff = cv2.absdiff(bg_gray, curr_gray)
+        
+        # Apply thresholding
+        _, thresh = cv2.threshold(diff, threshold, 255, cv2.THRESH_BINARY)
+        
+        # Morphological operations to remove noise and fill holes
+        kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (5, 5))
+        thresh = cv2.morphologyEx(thresh, cv2.MORPH_CLOSE, kernel)
+        thresh = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, kernel)
+        
+        # Find contours
+        contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+        if not contours:
+            return None
+            
+        # Filter contours by size and find the largest
+        large_contours = [c for c in contours if cv2.contourArea(c) > 150]
+        if not large_contours:
+            return None
+            
+        largest_contour = max(large_contours, key=cv2.contourArea)
+        x, y, w, h = cv2.boundingRect(largest_contour)
+        
+        # Add padding around the bounding box
+        padding = 15
+        x_min = max(0, x - padding)
+        y_min = max(0, y - padding)
+        x_max = min(w_img, x + w + padding)
+        y_max = min(h_img, y + h + padding)
+        
+        box_w = x_max - x_min
+        box_h = y_max - y_min
+        
+        # Calculate YOLO format values
+        x_center = (x_min + box_w / 2.0) / w_img
+        y_center = (y_min + box_h / 2.0) / h_img
+        norm_w = box_w / w_img
+        norm_h = box_h / h_img
+        
+        return [x_center, y_center, norm_w, norm_h]
+    except Exception as e:
+        print(f"Error in calculate_auto_crop_bbox: {e}")
+        return None
+
+
 @app.post("/api/detect")
 async def detect_objects(payload: DetectionRequest):
     """
@@ -89,6 +174,18 @@ async def detect_objects(payload: DetectionRequest):
         img = Image.open(BytesIO(img_bytes)).convert("RGB")
         img_np = np.array(img)
         
+        # Check if empty background calibration exists and compare
+        bg_path = os.path.join(BASE_DIR, "dataset", "background.jpg")
+        if os.path.exists(bg_path):
+            # Use a slightly lower threshold (20) to ensure we capture any real item placed
+            bbox = calculate_auto_crop_bbox(img_np, bg_path, threshold=20)
+            if bbox is None:
+                # Scale is empty or no significant object placed
+                return {
+                    "status": "success",
+                    "predictions": []
+                }
+        
         predictions = detector.detect(img_np)
         
         return {
@@ -153,6 +250,7 @@ async def trigger_training(req: TrainRequest):
     """
     Triggers model training.
     """
+    global current_training_process
     status = get_training_status()
     if status.get("status") in ["training", "generating_data"]:
         raise HTTPException(status_code=400, detail="Training or data generation is already in progress.")
@@ -167,7 +265,8 @@ async def trigger_training(req: TrainRequest):
         "message": "Initializing training background process..."
     })
     
-    # Launch training process in background
+    # Launch training process in background with reduced CPU priority
+    # so the FastAPI server stays responsive during CPU-heavy training
     cmd = [
         sys.executable, 
         os.path.join(BASE_DIR, "train.py"),
@@ -175,7 +274,25 @@ async def trigger_training(req: TrainRequest):
         "--batch-size", str(req.batch_size),
         "--lr", str(req.lr)
     ]
-    subprocess.Popen(cmd, cwd=BASE_DIR)
+    
+    env = os.environ.copy()
+    env["PYTHONUTF8"] = "1"
+    proc = subprocess.Popen(cmd, cwd=BASE_DIR, env=env)
+    current_training_process = proc
+    
+    # On Windows: lower the training process priority so the web server
+    # remains responsive during CPU-intensive training
+    if sys.platform == "win32":
+        try:
+            import ctypes
+            BELOW_NORMAL_PRIORITY_CLASS = 0x00004000
+            ctypes.windll.kernel32.SetPriorityClass(
+                ctypes.windll.kernel32.OpenProcess(0x0200, False, proc.pid),
+                BELOW_NORMAL_PRIORITY_CLASS
+            )
+            print(f"Training process (PID {proc.pid}) set to BELOW_NORMAL priority.")
+        except Exception as e:
+            print(f"Could not set process priority: {e}")
     
     return {"status": "success", "message": f"Training initiated for {req.epochs} epochs."}
 
@@ -184,11 +301,58 @@ async def get_status():
     """
     Returns current training status.
     """
-    # Check if background processes are actually running
-    # If status says training/generating but no process matches, we can update status to failed/idle.
+    global current_training_process
     status = get_training_status()
+    
+    # Auto-detect if process died unexpectedly
+    if status.get("status") == "training":
+        if current_training_process is None or current_training_process.poll() is not None:
+            status["status"] = "failed"
+            status["message"] = "Training-Prozess unerwartet beendet."
+            write_training_status(status)
+            current_training_process = None
+            
     return status
 
+@app.post("/api/cancel_training")
+async def cancel_training():
+    global current_training_process
+    if current_training_process is None or current_training_process.poll() is not None:
+        # Fallback: kill via PowerShell command on Windows
+        if sys.platform == "win32":
+            try:
+                import subprocess as sp
+                sp.run("powershell -Command \"Get-CimInstance Win32_Process | Where-Object { $_.CommandLine -like '*train.py*' } | ForEach-Object { Stop-Process -Id $_.ProcessId -Force }\"", shell=True, capture_output=True)
+            except Exception:
+                pass
+        
+        status = get_training_status()
+        status["status"] = "failed"
+        status["message"] = "Training vom Benutzer abgebrochen."
+        write_training_status(status)
+        current_training_process = None
+        
+        return {"status": "success", "message": "Training abgebrochen."}
+        
+    try:
+        current_training_process.terminate()
+        current_training_process.wait(timeout=2.0)
+    except Exception:
+        try:
+            current_training_process.kill()
+        except Exception:
+            pass
+            
+    current_training_process = None
+    
+    # Read status, set to failed
+    status = get_training_status()
+    status["status"] = "failed"
+    status["message"] = "Training vom Benutzer abgebrochen."
+    write_training_status(status)
+    
+    return {"status": "success", "message": "Training erfolgreich abgebrochen."}
+
 @app.post("/api/export")
 async def trigger_export():
     """
@@ -200,8 +364,10 @@ async def trigger_export():
         
     try:
         # Run export script synchronously since it is fast (few seconds)
+        env = os.environ.copy()
+        env["PYTHONUTF8"] = "1"
         cmd = [sys.executable, os.path.join(BASE_DIR, "export.py")]
-        result = subprocess.run(cmd, cwd=BASE_DIR, capture_output=True, text=True, check=True)
+        result = subprocess.run(cmd, cwd=BASE_DIR, capture_output=True, text=True, check=True, env=env)
         
         # Reload the detector model
         detector.load_model()
@@ -317,10 +483,146 @@ async def get_simulated_frame():
     except Exception as e:
         raise HTTPException(status_code=500, detail=f"Failed to generate simulated frame: {str(e)}")
 
+@app.post("/api/calibrate_background")
+async def calibrate_background(payload: CalibrateRequest):
+    """
+    Saves a webcam snapshot of the empty scale to use as the background baseline.
+    """
+    try:
+        data_url = payload.image
+        if "," in data_url:
+            data_url = data_url.split(",")[1]
+            
+        img_bytes = base64.b64decode(data_url)
+        img = Image.open(BytesIO(img_bytes)).convert("RGB")
+        
+        bg_path = os.path.join(BASE_DIR, "dataset", "background.jpg")
+        os.makedirs(os.path.dirname(bg_path), exist_ok=True)
+        img.save(bg_path, "JPEG", quality=95)
+        
+        return {
+            "status": "success",
+            "message": "Hintergrund erfolgreich kalibriert und als Null-Linie gespeichert!"
+        }
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Hintergrundkalibrierung fehlgeschlagen: {str(e)}")
+
+@app.get("/api/has_background")
+async def has_background():
+    """
+    Checks if a baseline background image exists and returns metadata.
+    """
+    bg_path = os.path.join(BASE_DIR, "dataset", "background.jpg")
+    exists = os.path.exists(bg_path)
+    timestamp = None
+    if exists:
+        timestamp = os.path.getmtime(bg_path)
+    return {
+        "has_background": exists,
+        "timestamp": timestamp
+    }
+
+@app.post("/api/reset_background")
+async def reset_background():
+    """
+    Removes the baseline background image calibration.
+    """
+    bg_path = os.path.join(BASE_DIR, "dataset", "background.jpg")
+    if os.path.exists(bg_path):
+        try:
+            os.remove(bg_path)
+        except Exception as e:
+            raise HTTPException(status_code=500, detail=f"Fehler beim Zurücksetzen: {str(e)}")
+    return {"status": "success", "message": "Hintergrundkalibrierung zurückgesetzt."}
+
+@app.post("/api/reset_dataset")
+async def reset_dataset():
+    """
+    Deletes all user-captured images, labels, and the baseline background image calibration.
+    """
+    images_dir = os.path.join(BASE_DIR, "dataset", "images", "train")
+    labels_dir = os.path.join(BASE_DIR, "dataset", "labels", "train")
+    bg_path = os.path.join(BASE_DIR, "dataset", "background.jpg")
+    
+    count_deleted = 0
+    try:
+        # Delete images starting with user_capture_
+        if os.path.exists(images_dir):
+            for f in os.listdir(images_dir):
+                if f.startswith("user_capture_"):
+                    try:
+                        os.remove(os.path.join(images_dir, f))
+                        count_deleted += 1
+                    except Exception:
+                        pass
+                    
+        # Delete labels starting with user_capture_
+        if os.path.exists(labels_dir):
+            for f in os.listdir(labels_dir):
+                if f.startswith("user_capture_"):
+                    try:
+                        os.remove(os.path.join(labels_dir, f))
+                    except Exception:
+                        pass
+                    
+        # Delete background
+        if os.path.exists(bg_path):
+            try:
+                os.remove(bg_path)
+            except Exception:
+                pass
+            
+        return {
+            "status": "success",
+            "message": f"Datenbank erfolgreich zurückgesetzt! {count_deleted} selbst erfasste Bilder gelöscht."
+        }
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Fehler beim Zurücksetzen: {str(e)}")
+
+@app.post("/api/reset_model")
+async def reset_model():
+    """
+    Deletes the trained PyTorch model and exported ONNX model,
+    resets training status, and reloads the detector.
+    """
+    pytorch_path = os.path.join(BASE_DIR, "models", "model.pt")
+    onnx_path = os.path.join(BASE_DIR, "models", "model.onnx")
+    
+    try:
+        deleted_any = False
+        if os.path.exists(pytorch_path):
+            os.remove(pytorch_path)
+            deleted_any = True
+        if os.path.exists(onnx_path):
+            os.remove(onnx_path)
+            deleted_any = True
+            
+        # Re-initialize training status to idle
+        write_training_status({
+            "status": "idle",
+            "epoch": 0,
+            "total_epochs": 0,
+            "train_loss": [],
+            "val_loss": [],
+            "progress": 0.0,
+            "message": "AI model has been reset to default/simulated state."
+        })
+        
+        # Reload detector so it goes back to simulated mode
+        detector.load_model()
+        
+        return {
+            "status": "success",
+            "message": "KI-Modell erfolgreich zurückgesetzt. Das System läuft nun wieder im Simulations-Modus."
+        }
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Fehler beim Zurücksetzen des Modells: {str(e)}")
+
 @app.post("/api/capture_training_image")
 async def capture_training_image(payload: CaptureRequest):
     """
-    Saves a webcam snapshot and generates a centered YOLO format bounding box label.
+    Saves a webcam snapshot and generates a YOLO format bounding box label.
+    Uses OpenCV background subtraction if calibrated, falls back to client bbox or default center.
     """
     try:
         class_name = payload.class_name
@@ -335,6 +637,7 @@ async def capture_training_image(payload: CaptureRequest):
             data_url = data_url.split(",")[1]
         img_bytes = base64.b64decode(data_url)
         img = Image.open(BytesIO(img_bytes)).convert("RGB")
+        img_np = np.array(img)
         
         # Save image with unique filename
         import time
@@ -348,11 +651,34 @@ async def capture_training_image(payload: CaptureRequest):
         
         img.save(os.path.join(images_dir, filename), quality=95)
         
-        # Write YOLO label centered at scale
-        # Bounding box: class_idx, x_center=0.5, y_center=0.5, width=0.6, height=0.6
+        # Calculate bounding box using background subtraction
+        bg_path = os.path.join(BASE_DIR, "dataset", "background.jpg")
+        yolo_box = calculate_auto_crop_bbox(img_np, bg_path)
+        
+        if yolo_box is None:
+            # Fallback to client-side bounding box if provided
+            if payload.bbox and all(k in payload.bbox for k in ["xmin", "ymin", "xmax", "ymax"]):
+                h_img, w_img, _ = img_np.shape
+                xmin = payload.bbox["xmin"]
+                ymin = payload.bbox["ymin"]
+                xmax = payload.bbox["xmax"]
+                ymax = payload.bbox["ymax"]
+                box_w = xmax - xmin
+                box_h = ymax - ymin
+                x_center = (xmin + box_w / 2.0) / w_img
+                y_center = (ymin + box_h / 2.0) / h_img
+                norm_w = box_w / w_img
+                norm_h = box_h / h_img
+                yolo_box = [x_center, y_center, norm_w, norm_h]
+                
+        if yolo_box is None:
+            # Fallback to default centered box
+            yolo_box = [0.500000, 0.500000, 0.650000, 0.650000]
+            
+        # Save YOLO label file
         label_filename = f"user_capture_{timestamp}.txt"
         with open(os.path.join(labels_dir, label_filename), "w") as f:
-            f.write(f"{class_idx} 0.500000 0.500000 0.650000 0.650000\n")
+            f.write(f"{class_idx} {yolo_box[0]:.6f} {yolo_box[1]:.6f} {yolo_box[2]:.6f} {yolo_box[3]:.6f}\n")
             
         # Count total user captured images
         user_images = [f for f in os.listdir(images_dir) if f.startswith("user_capture_")]
@@ -361,11 +687,66 @@ async def capture_training_image(payload: CaptureRequest):
         return {
             "status": "success",
             "message": f"Bild erfolgreich als Training für {class_name} erfasst!",
-            "count": count
+            "count": count,
+            "filename": filename
         }
     except Exception as e:
         raise HTTPException(status_code=500, detail=f"Fehler bei Bild-Erfassung: {str(e)}")
 
+@app.post("/api/delete_captured_image")
+async def delete_captured_image(payload: DeleteCaptureRequest):
+    """
+    Deletes a user-captured image and its corresponding YOLO label file.
+    """
+    filename = payload.filename
+    if not is_safe_filename(filename):
+        raise HTTPException(status_code=400, detail="Ungültiger Dateiname.")
+        
+    images_dir = os.path.join(BASE_DIR, "dataset", "images", "train")
+    labels_dir = os.path.join(BASE_DIR, "dataset", "labels", "train")
+    
+    img_path = os.path.join(images_dir, filename)
+    lbl_path = os.path.join(labels_dir, filename.replace(".jpg", ".txt"))
+    
+    deleted = False
+    try:
+        if os.path.exists(img_path):
+            os.remove(img_path)
+            deleted = True
+        if os.path.exists(lbl_path):
+            os.remove(lbl_path)
+            deleted = True
+            
+        if not deleted:
+            raise HTTPException(status_code=404, detail="Datei nicht gefunden.")
+            
+        # Recount total user captured images
+        user_images = [f for f in os.listdir(images_dir) if f.startswith("user_capture_")]
+        count = len(user_images)
+        
+        return {
+            "status": "success",
+            "message": f"Bild {filename} und Label erfolgreich gelöscht.",
+            "count": count
+        }
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Fehler beim Löschen der Datei: {str(e)}")
+
+@app.get("/api/captured_images/{filename}")
+async def get_captured_image(filename: str):
+    """
+    Serves a user-captured training image file securely.
+    """
+    if not is_safe_filename(filename):
+        raise HTTPException(status_code=400, detail="Ungültiger Dateiname.")
+        
+    img_path = os.path.join(BASE_DIR, "dataset", "images", "train", filename)
+    if not os.path.exists(img_path):
+        raise HTTPException(status_code=404, detail="Bild nicht gefunden.")
+        
+    return FileResponse(img_path)
+
+
 @app.get("/api/capture_count")
 async def get_capture_count():
     """
@@ -428,6 +809,16 @@ def simulate_keyboard_type(text: str):
         print(f"Failed to type keyboard input: {e}", file=sys.stderr)
         return False
 
+@app.get("/api/background_image")
+async def get_background_image():
+    """
+    Serves the calibrated background image.
+    """
+    bg_path = os.path.join(BASE_DIR, "dataset", "background.jpg")
+    if not os.path.exists(bg_path):
+        raise HTTPException(status_code=404, detail="Hintergrund nicht kalibriert.")
+    return FileResponse(bg_path)
+
 @app.get("/api/articles")
 async def get_articles():
     if not os.path.exists(ARTICLES_FILE):
diff --git a/app/static/app.js b/app/static/app.js
index 5c37b26..d45f0ac 100644
--- a/app/static/app.js
+++ b/app/static/app.js
@@ -36,10 +36,17 @@ let isWebcamActive = false;
 let webcamStream = null;
 let simulatedStreamInterval = null;
 let currentFrameBase64 = null;
+let activeCameraDeviceId = null; // stores selected camera device ID
 let isDetecting = false;
 let autoDetectEnabled = true;
 let trainingPollInterval = null;
 
+// Learn/Anlern-Modus State
+let learnBackgroundFrame = null; // stores ImageData or Image object for canvas subtraction
+let learnSelectedClass = null; // selected article key for training
+let learnSessionImages = []; // list of filenames in the current session
+let isSerialCapturing = false;
+
 // Scanner Emulator State
 let autoScanEnabled = true;
 let stableClass = null;
@@ -56,6 +63,9 @@ let shoppingCart = [];
 const videoEl = document.getElementById("webcam");
 const canvasEl = document.getElementById("camera-canvas");
 const ctx = canvasEl.getContext("2d");
+const learnCanvasEl = document.getElementById("learn-camera-canvas");
+const learnCtx = learnCanvasEl ? learnCanvasEl.getContext("2d") : null;
+
 const toggleCameraBtn = document.getElementById("toggle-camera-btn");
 const triggerScaleBtn = document.getElementById("trigger-scale-btn");
 const autoDetectToggle = document.getElementById("auto-detect-toggle");
@@ -86,19 +96,121 @@ function switchTab(tabName) {
     if (tabName === 'articles') {
         loadArticlesDatabase();
     }
+
+    if (tabName === 'learn') {
+        checkBackgroundCalibration();
+        loadLearnArticles();
+        updateLearnBadge();
+    }
 }
 
 // --- CAMERA & DETECTION LOGIC ---
-async function startWebcam() {
+async function initCameraSelection() {
     try {
+        const devices = await navigator.mediaDevices.enumerateDevices();
+        const videoDevices = devices.filter(device => device.kind === 'videoinput');
+        
+        const selectCheckout = document.getElementById("camera-select");
+        const selectLearn = document.getElementById("learn-camera-select");
+        
+        if (selectCheckout && selectLearn) {
+            selectCheckout.innerHTML = "";
+            selectLearn.innerHTML = "";
+            
+            if (videoDevices.length === 0) {
+                const opt = document.createElement("option");
+                opt.value = "";
+                opt.textContent = "Keine Kamera gefunden";
+                selectCheckout.appendChild(opt);
+                selectLearn.appendChild(opt.cloneNode(true));
+                return;
+            }
+            
+            videoDevices.forEach((device, idx) => {
+                const label = device.label || `Kamera ${idx + 1}`;
+                const opt = document.createElement("option");
+                opt.value = device.deviceId;
+                opt.textContent = label;
+                
+                selectCheckout.appendChild(opt);
+                selectLearn.appendChild(opt.cloneNode(true));
+            });
+            
+            // Sync values to current active camera
+            if (activeCameraDeviceId) {
+                selectCheckout.value = activeCameraDeviceId;
+                selectLearn.value = activeCameraDeviceId;
+            } else {
+                activeCameraDeviceId = videoDevices[0].deviceId;
+                selectCheckout.value = activeCameraDeviceId;
+                selectLearn.value = activeCameraDeviceId;
+            }
+            
+            // Hook up change handlers
+            selectCheckout.onchange = (e) => switchCameraDevice(e.target.value);
+            selectLearn.onchange = (e) => switchCameraDevice(e.target.value);
+        }
+    } catch (err) {
+        console.error("Fehler beim Abrufen der Kameras:", err);
+    }
+}
+
+async function switchCameraDevice(deviceId) {
+    activeCameraDeviceId = deviceId;
+    
+    // Sync dropdown values across tabs
+    const selectCheckout = document.getElementById("camera-select");
+    const selectLearn = document.getElementById("learn-camera-select");
+    if (selectCheckout) selectCheckout.value = deviceId;
+    if (selectLearn) selectLearn.value = deviceId;
+    
+    if (isWebcamActive) {
+        // Stop current tracks and restart webcam stream with the new device
+        if (webcamStream) {
+            webcamStream.getTracks().forEach(track => track.stop());
+            webcamStream = null;
+        }
+        await startWebcam(deviceId);
+    }
+}
+
+async function startWebcam(deviceId = null) {
+    try {
+        const targetDeviceId = deviceId || activeCameraDeviceId;
+        const videoConstraints = {
+            width: 640,
+            height: 480
+        };
+        
+        if (targetDeviceId) {
+            videoConstraints.deviceId = { exact: targetDeviceId };
+        } else {
+            videoConstraints.facingMode = "environment";
+        }
+        
         webcamStream = await navigator.mediaDevices.getUserMedia({
-            video: { width: 640, height: 480, facingMode: "environment" }
+            video: videoConstraints
         });
+        
         videoEl.srcObject = webcamStream;
         videoEl.style.display = "none";
         isWebcamActive = true;
+        
+        // Show camera selector dropdowns
+        const selectCheckout = document.getElementById("camera-select");
+        const selectLearn = document.getElementById("learn-camera-select");
+        if (selectCheckout) selectCheckout.style.display = "inline-block";
+        if (selectLearn) selectLearn.style.display = "inline-block";
+        
         cameraTypeBadge.textContent = "LIVE-WEBCAM";
         cameraTypeBadge.style.background = "var(--color-primary)";
+        
+        const learnStreamBadge = document.getElementById("learn-camera-type-badge");
+        if (learnStreamBadge) {
+            learnStreamBadge.textContent = "LIVE-WEBCAM";
+            learnStreamBadge.style.background = "var(--color-primary)";
+        }
+        
         toggleCameraBtn.innerHTML = `
             <svg width="18" height="18" viewBox="0 0 24 24" stroke="currentColor" fill="none" stroke-width="2"><rect x="3" y="3" width="18" height="18" rx="2"/><circle cx="9" cy="9" r="2"/></svg>
             Kamera deaktivieren
@@ -106,6 +218,9 @@ async function startWebcam() {
         document.getElementById("stream-status").textContent = "LIVE";
         document.getElementById("stream-status").classList.add("live");
         
+        // Initialize options list
+        await initCameraSelection();
+        
         // Stop simulated stream if active
         if (simulatedStreamInterval) {
             clearInterval(simulatedStreamInterval);
@@ -128,25 +243,42 @@ function stopWebcam() {
     videoEl.srcObject = null;
     videoEl.style.display = "none";
     isWebcamActive = false;
+    
+    // Hide camera selectors when webcam is inactive
+    const selectCheckout = document.getElementById("camera-select");
+    const selectLearn = document.getElementById("learn-camera-select");
+    if (selectCheckout) selectCheckout.style.display = "none";
+    if (selectLearn) selectLearn.style.display = "none";
+    
     toggleCameraBtn.innerHTML = `
         <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><path d="M23 19a2 2 0 0 1-2 2H3a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h4l2-3h6l2 3h4a2 2 0 0 1 2 2z"/><circle cx="12" cy="13" r="4"/></svg>
         Webcam aktivieren
     `;
     startSimulatedStream();
 }
-
 function processWebcamFrame() {
     if (!isWebcamActive) return;
     
-    // Draw current video frame to canvas
-    ctx.drawImage(videoEl, 0, 0, canvasEl.width, canvasEl.height);
-    
-    // Get frame as base64
-    currentFrameBase64 = canvasEl.toDataURL("image/jpeg", 0.7);
-    
-    // Auto-detect if enabled
-    if (autoDetectEnabled && !isDetecting) {
-        runDetection();
+    if (activeTab === 'checkout') {
+        // Draw current video frame to canvas
+        ctx.drawImage(videoEl, 0, 0, canvasEl.width, canvasEl.height);
+        // Get frame as base64
+        currentFrameBase64 = canvasEl.toDataURL("image/jpeg", 0.7);
+        
+        // Auto-detect if enabled
+        if (autoDetectEnabled && !isDetecting) {
+            runDetection();
+        }
+    } else if (activeTab === 'learn') {
+        if (learnCanvasEl && learnCtx) {
+            // Draw current video frame to learn canvas
+            learnCtx.drawImage(videoEl, 0, 0, learnCanvasEl.width, learnCanvasEl.height);
+            // Get frame as base64
+            currentFrameBase64 = learnCanvasEl.toDataURL("image/jpeg", 0.7);
+            
+            // Draw dynamic green bounding box
+            drawLearnFrameGreenBox();
+        }
     }
     
     setTimeout(() => {
@@ -155,10 +287,22 @@ function processWebcamFrame() {
 }
 
 function startSimulatedStream() {
-    cameraTypeBadge.textContent = "SIMULATIONS-MODUS";
-    cameraTypeBadge.style.background = "var(--color-bg-dark)";
-    document.getElementById("stream-status").textContent = "Simuliert";
-    document.getElementById("stream-status").classList.add("live");
+    const streamBadge = document.getElementById("camera-type-badge");
+    const learnStreamBadge = document.getElementById("learn-camera-type-badge");
+    if (streamBadge) {
+        streamBadge.textContent = "SIMULATIONS-MODUS";
+        streamBadge.style.background = "var(--color-bg-dark)";
+    }
+    if (learnStreamBadge) {
+        learnStreamBadge.textContent = "SIMULATIONS-MODUS";
+        learnStreamBadge.style.background = "var(--color-bg-dark)";
+    }
+    
+    const streamStatus = document.getElementById("stream-status");
+    if (streamStatus) {
+        streamStatus.textContent = "Simuliert";
+        streamStatus.classList.add("live");
+    }
     
     const loadSimulatedFrame = async () => {
         try {
@@ -167,11 +311,21 @@ function startSimulatedStream() {
             if (data.status === "success" && data.image) {
                 const img = new Image();
                 img.onload = () => {
-                    ctx.drawImage(img, 0, 0, canvasEl.width, canvasEl.height);
-                    currentFrameBase64 = data.image;
-                    
-                    if (autoDetectEnabled && !isDetecting) {
-                        runDetection();
+                    if (activeTab === 'checkout') {
+                        ctx.drawImage(img, 0, 0, canvasEl.width, canvasEl.height);
+                        currentFrameBase64 = data.image;
+                        
+                        if (autoDetectEnabled && !isDetecting) {
+                            runDetection();
+                        }
+                    } else if (activeTab === 'learn') {
+                        if (learnCanvasEl && learnCtx) {
+                            learnCtx.drawImage(img, 0, 0, learnCanvasEl.width, learnCanvasEl.height);
+                            currentFrameBase64 = data.image;
+                            
+                            // Draw dynamic green bounding box
+                            drawLearnFrameGreenBox();
+                        }
                     }
                 };
                 img.src = data.image;
@@ -248,14 +402,14 @@ function drawDetections(predictions) {
 function updateQuickButtons(predictions) {
     quickSelectButtons.innerHTML = "";
     
-    // Filter predictions with confidence > 0.10
-    const candidates = predictions.filter(p => p.confidence > 0.10);
+    // Filter predictions with confidence > 0.85
+    const candidates = predictions.filter(p => p.confidence > 0.85);
     
     if (candidates.length === 0) {
         quickSelectButtons.innerHTML = `
             <div class="empty-state">
                 <p>Keine Objekte erkannt</p>
-                <span>Confidence Schwellenwert unter 10%</span>
+                <span>Confidence Schwellenwert unter 85%</span>
             </div>
         `;
         return;
@@ -446,6 +600,23 @@ async function startTraining() {
     }
 }
 
+// Cancel active model training
+async function cancelTraining() {
+    const cancelBtn = document.getElementById("cancel-training-btn");
+    if (cancelBtn) cancelBtn.disabled = true;
+    
+    try {
+        const response = await fetch("/api/cancel_training", { method: "POST" });
+        const data = await response.json();
+        alert(data.message);
+    } catch (err) {
+        console.error("Failed to cancel training:", err);
+        alert("Fehler beim Abbrechen des Trainings.");
+    } finally {
+        if (cancelBtn) cancelBtn.disabled = false;
+    }
+}
+
 // Poll training API
 function startTrainingPolling() {
     if (trainingPollInterval) return;
@@ -497,6 +668,19 @@ function updateTrainingStatusUI(data) {
         statusBox.classList.add("active-pulse");
     }
     
+    // Toggle start and cancel buttons based on status
+    const startBtn = document.getElementById("start-training-btn");
+    const cancelBtn = document.getElementById("cancel-training-btn");
+    if (startBtn && cancelBtn) {
+        if (data.status === "training") {
+            startBtn.style.display = "none";
+            cancelBtn.style.display = "inline-block";
+        } else {
+            startBtn.style.display = "inline-block";
+            cancelBtn.style.display = "none";
+        }
+    }
+    
     // Plot Chart if loss history is available
     if (data.train_loss && data.train_loss.length > 0) {
         updateChart(data.train_loss, data.val_loss || []);
@@ -900,7 +1084,7 @@ async function processStabilityAndScan(predictions) {
     const progressWrapper = document.getElementById("stability-progress-wrapper");
     const progressFill = document.getElementById("stability-progress-fill");
     
-    const STABLE_CONF_THRESHOLD = 0.75;
+    const STABLE_CONF_THRESHOLD = 0.85;
     
     if (topPrediction && topPrediction.confidence >= STABLE_CONF_THRESHOLD) {
         const detectedClass = topPrediction.class;
@@ -986,6 +1170,518 @@ async function triggerManualScan() {
     }
 }
 
+// --- LEARN ARTICLE TAB (ANLERN-MODUS) LOGIC ---
+let learnCurrentBBox = null; // stores {xmin, ymin, xmax, ymax}
+
+function computeBBoxFromDiff(currData, bgData, width, height, threshold = 25) {
+    let minX = width, minY = height, maxX = 0, maxY = 0;
+    let changedCount = 0;
+    
+    for (let y = 0; y < height; y += 4) { // sample every 4th pixel for speed
+        for (let x = 0; x < width; x += 4) {
+            const idx = (y * width + x) * 4;
+            const rDiff = Math.abs(currData[idx] - bgData[idx]);
+            const gDiff = Math.abs(currData[idx+1] - bgData[idx+1]);
+            const bDiff = Math.abs(currData[idx+2] - bgData[idx+2]);
+            
+            if (rDiff + gDiff + bDiff > threshold * 3) {
+                if (x < minX) minX = x;
+                if (x > maxX) maxX = x;
+                if (y < minY) minY = y;
+                if (y > maxY) maxY = y;
+                changedCount++;
+            }
+        }
+    }
+    
+    // If too few pixels changed, it's probably noise or empty
+    if (changedCount < 100) return null;
+    
+    // Add padding
+    const padding = 15;
+    minX = Math.max(0, minX - padding);
+    minY = Math.max(0, minY - padding);
+    maxX = Math.min(width, maxX + padding);
+    maxY = Math.min(height, maxY + padding);
+    
+    return { xmin: minX, ymin: minY, xmax: maxX, ymax: maxY };
+}
+
+function drawLearnFrameGreenBox() {
+    if (!learnCanvasEl || !learnCtx || !currentFrameBase64) return;
+    
+    if (learnBackgroundFrame) {
+        try {
+            const width = learnCanvasEl.width;
+            const height = learnCanvasEl.height;
+            
+            // Get current frame image data
+            const currImgData = learnCtx.getImageData(0, 0, width, height);
+            
+            // Calculate bbox
+            const bbox = computeBBoxFromDiff(currImgData.data, learnBackgroundFrame.data, width, height);
+            learnCurrentBBox = bbox;
+            
+            if (bbox) {
+                // Draw green bounding box outline
+                learnCtx.lineWidth = 3;
+                learnCtx.strokeStyle = "#10b981"; // Green
+                learnCtx.strokeRect(bbox.xmin, bbox.ymin, bbox.xmax - bbox.xmin, bbox.ymax - bbox.ymin);
+                
+                // Draw label box background
+                learnCtx.fillStyle = "rgba(16, 185, 129, 0.85)";
+                const labelText = "Ware erkannt (Auto-Crop)";
+                learnCtx.font = "bold 12px sans-serif";
+                const textWidth = learnCtx.measureText(labelText).width;
+                learnCtx.fillRect(bbox.xmin - 1, bbox.ymin - 22, textWidth + 12, 22);
+                
+                // Label text
+                learnCtx.fillStyle = "#ffffff";
+                learnCtx.fillText(labelText, bbox.xmin + 5, bbox.ymin - 6);
+            }
+        } catch (e) {
+            console.error("Error drawing green box:", e);
+        }
+    } else {
+        learnCurrentBBox = null;
+    }
+}
+
+async function calibrateBackground() {
+    if (!currentFrameBase64) {
+        alert("Warte auf Kamerabild...");
+        return;
+    }
+    
+    try {
+        const response = await fetch("/api/calibrate_background", {
+            method: "POST",
+            headers: { "Content-Type": "application/json" },
+            body: JSON.stringify({ image: currentFrameBase64 })
+        });
+        const data = await response.json();
+        if (data.status === "success") {
+            // Save background frame locally as ImageData for real-time diffing
+            const width = learnCanvasEl.width;
+            const height = learnCanvasEl.height;
+            learnBackgroundFrame = learnCtx.getImageData(0, 0, width, height);
+            
+            // Update UI indicators
+            const statusIndicator = document.getElementById("learn-calibration-indicator");
+            if (statusIndicator) {
+                statusIndicator.textContent = "Kalibriert";
+                statusIndicator.style.color = "var(--color-success)";
+                statusIndicator.classList.add("live");
+            }
+            const checkbox = document.getElementById("learn-bg-ok-indicator");
+            if (checkbox) {
+                checkbox.checked = true;
+            }
+            
+            alert(data.message);
+        } else {
+            alert("Kalibrierung fehlgeschlagen: " + data.message);
+        }
+    } catch (err) {
+        console.error("Calibration error:", err);
+        alert("Serverfehler bei Kalibrierung.");
+    }
+}
+
+async function checkBackgroundCalibration() {
+    try {
+        const response = await fetch("/api/has_background");
+        const data = await response.json();
+        const statusIndicator = document.getElementById("learn-calibration-indicator");
+        const checkbox = document.getElementById("learn-bg-ok-indicator");
+        
+        if (data.has_background) {
+            if (statusIndicator) {
+                statusIndicator.textContent = "Kalibriert";
+                statusIndicator.style.color = "var(--color-success)";
+                statusIndicator.classList.add("live");
+            }
+            if (checkbox) {
+                checkbox.checked = true;
+            }
+            
+            // Load background image from backend and draw it on a hidden canvas to get ImageData
+            const img = new Image();
+            img.crossOrigin = "anonymous";
+            img.onload = () => {
+                const hiddenCanvas = document.createElement("canvas");
+                hiddenCanvas.width = learnCanvasEl.width;
+                hiddenCanvas.height = learnCanvasEl.height;
+                const hiddenCtx = hiddenCanvas.getContext("2d");
+                hiddenCtx.drawImage(img, 0, 0, hiddenCanvas.width, hiddenCanvas.height);
+                learnBackgroundFrame = hiddenCtx.getImageData(0, 0, hiddenCanvas.width, hiddenCanvas.height);
+            };
+            img.src = "/api/background_image?t=" + Date.now(); // Cache busting
+        } else {
+            learnBackgroundFrame = null;
+            if (statusIndicator) {
+                statusIndicator.textContent = "Nicht kalibriert";
+                statusIndicator.style.color = "var(--text-muted)";
+                statusIndicator.classList.remove("live");
+            }
+            if (checkbox) {
+                checkbox.checked = false;
+            }
+        }
+    } catch (err) {
+        console.error("Failed to check background calibration:", err);
+    }
+}
+
+async function resetBackgroundCalibration() {
+    if (!confirm("Hintergrundkalibrierung wirklich zurücksetzen?")) return;
+    try {
+        const response = await fetch("/api/reset_background", { method: "POST" });
+        const data = await response.json();
+        if (data.status === "success") {
+            learnBackgroundFrame = null;
+            const statusIndicator = document.getElementById("learn-calibration-indicator");
+            if (statusIndicator) {
+                statusIndicator.textContent = "Nicht kalibriert";
+                statusIndicator.style.color = "var(--text-muted)";
+                statusIndicator.classList.remove("live");
+            }
+            const checkbox = document.getElementById("learn-bg-ok-indicator");
+            if (checkbox) {
+                checkbox.checked = false;
+            }
+            alert(data.message);
+        }
+    } catch (err) {
+        console.error("Reset calibration error:", err);
+    }
+}
+
+function loadLearnArticles() {
+    const listContainer = document.getElementById("learn-articles-list");
+    if (!listContainer) return;
+    listContainer.innerHTML = "";
+    
+    // Check if database loaded, if not, wait
+    if (Object.keys(articlesDatabase).length === 0) {
+        setTimeout(loadLearnArticles, 200);
+        return;
+    }
+    
+    Object.keys(articlesDatabase).forEach(key => {
+        const art = articlesDatabase[key];
+        const item = document.createElement("div");
+        item.className = "learn-article-item";
+        item.id = `learn-item-${key}`;
+        if (learnSelectedClass === key) {
+            item.classList.add("selected");
+        }
+        item.onclick = () => selectLearnArticle(key);
+        
+        item.innerHTML = `
+            <span>${art.name}</span>
+            <span class="item-plu">EAN: ${art.ean || 'Keine'}</span>
+        `;
+        listContainer.appendChild(item);
+    });
+}
+
+function filterLearnArticles() {
+    const query = document.getElementById("learn-search-input").value.toLowerCase().trim();
+    const items = document.querySelectorAll(".learn-article-item");
+    
+    items.forEach(item => {
+        const text = item.textContent.toLowerCase();
+        if (text.includes(query)) {
+            item.style.display = "flex";
+        } else {
+            item.style.display = "none";
+        }
+    });
+}
+
+function selectLearnArticle(classKey) {
+    learnSelectedClass = classKey;
+    document.querySelectorAll(".learn-article-item").forEach(el => el.classList.remove("selected"));
+    
+    const selectedEl = document.getElementById(`learn-item-${classKey}`);
+    if (selectedEl) {
+        selectedEl.classList.add("selected");
+    }
+    
+    const display = document.getElementById("learn-selected-article-display");
+    if (display) {
+        const name = articlesDatabase[classKey]?.name || classKey;
+        display.textContent = name;
+    }
+}
+
+function updateLearnBadge() {
+    fetch("/api/capture_count")
+        .then(r => r.json())
+        .then(data => {
+            const badge = document.getElementById("learn-session-count-badge");
+            if (badge) badge.textContent = `Eigene Bilder Gesamt: ${data.count}`;
+            const displayCheckout = document.getElementById("capture-count-display");
+            if (displayCheckout) displayCheckout.textContent = `Eigene Bilder: ${data.count}`;
+        })
+        .catch(err => console.error(err));
+}
+
+async function startSerialCapture() {
+    if (!learnSelectedClass) {
+        alert("Bitte wählen Sie zuerst einen Artikel aus der Liste aus.");
+        return;
+    }
+    if (!learnBackgroundFrame) {
+        alert("Bitte führen Sie zuerst die Hintergrund-Kalibrierung durch (Hintergrund speichern).");
+        return;
+    }
+    if (isSerialCapturing) return;
+    
+    isSerialCapturing = true;
+    
+    // Clear session gallery UI and list
+    const galleryGrid = document.getElementById("learn-gallery-grid");
+    galleryGrid.innerHTML = "";
+    learnSessionImages = [];
+    
+    const startBtn = document.getElementById("learn-start-capture-btn");
+    startBtn.disabled = true;
+    startBtn.innerHTML = `<span>Aufnahme läuft...</span>`;
+    
+    const progressText = document.getElementById("learn-progress-text");
+    const progressFill = document.getElementById("learn-progress-fill");
+    
+    let count = 0;
+    const total = 10;
+    
+    const captureNext = async () => {
+        // Sound feedback
+        playScannerBeep();
+        
+        // Capture frame
+        const frameData = learnCanvasEl.toDataURL("image/jpeg", 0.95);
+        const currentBbox = learnCurrentBBox ? { ...learnCurrentBBox } : null;
+        
+        try {
+            const response = await fetch("/api/capture_training_image", {
+                method: "POST",
+                headers: { "Content-Type": "application/json" },
+                body: JSON.stringify({
+                    image: frameData,
+                    class_name: learnSelectedClass,
+                    bbox: currentBbox
+                })
+            });
+            const data = await response.json();
+            if (data.status === "success" && data.filename) {
+                learnSessionImages.push(data.filename);
+                addPhotoToGallery(data.filename);
+            }
+        } catch (err) {
+            console.error("Serial capture step failed:", err);
+        }
+        
+        count++;
+        if (progressText) progressText.textContent = `${count} / ${total} Bilder`;
+        if (progressFill) progressFill.style.width = `${(count / total) * 100}%`;
+        
+        if (count >= total) {
+            clearInterval(captureInterval);
+            isSerialCapturing = false;
+            startBtn.disabled = false;
+            startBtn.innerHTML = `
+                <svg width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><circle cx="12" cy="12" r="10"/><circle cx="12" cy="12" r="3" fill="currentColor"/></svg>
+                START (SERIENAUFNAHME)
+            `;
+            updateLearnBadge();
+            alert("Serienaufnahme abgeschlossen! Sie können fehlerhafte Bilder unten in der Galerie löschen.");
+        }
+    };
+    
+    // Start interval
+    await captureNext(); // First capture immediately
+    const captureInterval = setInterval(captureNext, 1000);
+}
+
+function addPhotoToGallery(filename) {
+    const galleryGrid = document.getElementById("learn-gallery-grid");
+    const emptyState = document.getElementById("learn-gallery-empty");
+    if (emptyState) emptyState.remove();
+    
+    const wrapper = document.createElement("div");
+    wrapper.className = "gallery-item-wrapper";
+    wrapper.id = `gallery-item-${filename.replace(".", "_")}`;
+    
+    wrapper.innerHTML = `
+        <img class="gallery-item-img" src="/api/captured_images/${filename}" alt="${filename}">
+        <button class="gallery-item-delete-btn" onclick="deleteSessionImage('${filename}')" title="Bild löschen">X</button>
+    `;
+    
+    galleryGrid.appendChild(wrapper);
+}
+
+async function deleteSessionImage(filename) {
+    if (!confirm("Dieses Bild aus der Session löschen?")) return;
+    
+    try {
+        const response = await fetch("/api/delete_captured_image", {
+            method: "POST",
+            headers: { "Content-Type": "application/json" },
+            body: JSON.stringify({ filename: filename })
+        });
+        const data = await response.json();
+        if (data.status === "success") {
+            // Remove from UI
+            const wrapper = document.getElementById(`gallery-item-${filename.replace(".", "_")}`);
+            if (wrapper) wrapper.remove();
+            
+            // Remove from list
+            learnSessionImages = learnSessionImages.filter(f => f !== filename);
+            
+            // If empty, show empty state
+            const galleryGrid = document.getElementById("learn-gallery-grid");
+            if (galleryGrid && galleryGrid.children.length === 0) {
+                galleryGrid.innerHTML = `
+                    <div class="empty-state" id="learn-gallery-empty" style="grid-column: 1 / -1; padding: 40px 0;">
+                        <p>Noch keine Aufnahmen in dieser Session</p>
+                        <span>Wähle ein Produkt und starte die Serienaufnahme</span>
+                    </div>
+                `;
+            }
+            
+            updateLearnBadge();
+            console.log(data.message);
+        } else {
+            alert("Löschen fehlgeschlagen: " + data.message);
+        }
+    } catch (err) {
+        console.error("Delete image error:", err);
+        alert("Serverfehler beim Löschen des Bildes.");
+    }
+}
+
+// --- RESET ALL CAPTURED TRAINING DATA ---
+async function resetAllCapturedData() {
+    const confirmed = confirm(
+        "⚠️ Alle selbst erfassten Trainingsbilder löschen?\n\n" +
+        "Dies entfernt alle user_capture_* Bilder und Labels sowie die Hintergrundkalibrierung.\n" +
+        "Das vortrainierte Basis-Modell bleibt erhalten.\n\n" +
+        "Dieser Vorgang kann NICHT rückgängig gemacht werden!"
+    );
+    if (!confirmed) return;
+
+    const resetBtnLearn = document.getElementById("reset-all-captures-btn");
+    const resetBtnDash = document.getElementById("dashboard-reset-btn");
+    if (resetBtnLearn) { resetBtnLearn.disabled = true; resetBtnLearn.textContent = "Wird gelöscht..."; }
+    if (resetBtnDash)  { resetBtnDash.disabled = true;  resetBtnDash.textContent = "Wird gelöscht..."; }
+
+    try {
+        const response = await fetch("/api/reset_dataset", { method: "POST" });
+        const data = await response.json();
+
+        if (data.status === "success") {
+            // 1. Clear gallery UI
+            const galleryGrid = document.getElementById("learn-gallery-grid");
+            if (galleryGrid) {
+                galleryGrid.innerHTML = `
+                    <div class="empty-state" id="learn-gallery-empty" style="grid-column: 1 / -1; padding: 40px 0;">
+                        <p>Noch keine Aufnahmen in dieser Session</p>
+                        <span>Wähle ein Produkt und starte die Serienaufnahme</span>
+                    </div>
+                `;
+            }
+            learnSessionImages = [];
+
+            // 2. Reset background calibration state
+            learnBackgroundFrame = null;
+            learnCurrentBBox = null;
+            const statusIndicator = document.getElementById("learn-calibration-indicator");
+            if (statusIndicator) {
+                statusIndicator.textContent = "Nicht kalibriert";
+                statusIndicator.style.color = "var(--text-muted)";
+                statusIndicator.classList.remove("live");
+            }
+            const checkbox = document.getElementById("learn-bg-ok-indicator");
+            if (checkbox) checkbox.checked = false;
+
+            // 3. Update count badges
+            const badge = document.getElementById("learn-session-count-badge");
+            if (badge) badge.textContent = "Eigene Bilder Gesamt: 0";
+            const countDisplay = document.getElementById("capture-count-display");
+            if (countDisplay) countDisplay.textContent = "Eigene Bilder: 0";
+
+            alert("✅ " + data.message);
+        } else {
+            alert("Fehler beim Zurücksetzen: " + (data.detail || data.message));
+        }
+    } catch (err) {
+        console.error("Reset error:", err);
+        alert("Serverfehler beim Zurücksetzen der Trainingsdaten.");
+    } finally {
+        if (resetBtnLearn) {
+            resetBtnLearn.disabled = false;
+            resetBtnLearn.innerHTML = `
+                <svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><polyline points="3 6 5 6 21 6"/><path d="M19 6v14a2 2 0 0 1-2 2H7a2 2 0 0 1-2-2V6m3 0V4a2 2 0 0 1 2-2h4a2 2 0 0 1 2 2v2"/></svg>
+                Alle Trainingsbilder löschen
+            `;
+        }
+        if (resetBtnDash) {
+            resetBtnDash.disabled = false;
+            resetBtnDash.innerHTML = `
+                <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><polyline points="3 6 5 6 21 6"/><path d="M19 6v14a2 2 0 0 1-2 2H7a2 2 0 0 1-2-2V6m3 0V4a2 2 0 0 1 2-2h4a2 2 0 0 1 2 2v2"/></svg>
+                Eigene Bilder & Kalibrierung zurücksetzen
+            `;
+        }
+    }
+}
+
+// --- RESET TRAINED AI MODEL ---
+async function resetAIModel() {
+    const confirmed = confirm(
+        "⚠️ Trainiertes KI-Modell wirklich zurücksetzen?\n\n" +
+        "Dies löscht das trainierte PyTorch- und ONNX-Modell vom Server.\n" +
+        "Das System läuft danach im Simulations-Modus, bis Sie ein neues Modell trainieren.\n\n" +
+        "Dieser Vorgang kann NICHT rückgängig gemacht werden!"
+    );
+    if (!confirmed) return;
+
+    const resetBtn = document.getElementById("dashboard-reset-model-btn");
+    if (resetBtn) {
+        resetBtn.disabled = true;
+        resetBtn.textContent = "Zurücksetzen...";
+    }
+
+    try {
+        const response = await fetch("/api/reset_model", { method: "POST" });
+        const data = await response.json();
+
+        if (response.ok && data.status === "success") {
+            alert("✅ " + data.message);
+            // Refresh dashboard training status if polling is active
+            if (activeTab === 'dashboard') {
+                const statusResponse = await fetch("/api/train_status");
+                const statusData = await statusResponse.json();
+                updateTrainingStatusUI(statusData);
+            }
+        } else {
+            alert("Fehler beim Zurücksetzen des Modells: " + (data.detail || data.message));
+        }
+    } catch (err) {
+        console.error("Reset model error:", err);
+        alert("Serverfehler beim Zurücksetzen des KI-Modells.");
+    } finally {
+        if (resetBtn) {
+            resetBtn.disabled = false;
+            resetBtn.innerHTML = `
+                <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M21.5 2v6h-6M21.34 15.57a10 10 0 1 1-.57-8.38l5.67-5.67"/></svg>
+                Trainiertes KI-Modell zurücksetzen
+            `;
+        }
+    }
+}
+
 // --- INTERACTIVE EVENT LISTENERS ---
 toggleCameraBtn.addEventListener("click", () => {
     if (isWebcamActive) {
@@ -1022,4 +1718,8 @@ window.addEventListener("DOMContentLoaded", () => {
     
     // Initialize capture classes
     initCapturePanel();
+
+    // Check background calibration on startup
+    checkBackgroundCalibration();
+    updateLearnBadge();
 });
diff --git a/app/static/index.html b/app/static/index.html
index dfe440e..3e775b3 100644
--- a/app/static/index.html
+++ b/app/static/index.html
@@ -27,6 +27,10 @@
                     <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><rect x="2" y="4" width="20" height="16" rx="2"/><line x1="12" y1="4" x2="12" y2="20"/><line x1="2" y1="12" x2="22" y2="12"/></svg>
                     Kassensystem
                 </button>
+                <button class="nav-btn" id="tab-btn-learn" onclick="switchTab('learn')">
+                    <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M12 22s8-4 8-10V5l-8-3-8 3v7c0 6 8 10 8 10z"/><path d="M8 11h8"/><path d="M12 7v8"/></svg>
+                    Artikel anlernen
+                </button>
                 <button class="nav-btn" id="tab-btn-articles" onclick="switchTab('articles')">
                     <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8z"/><polyline points="14 2 14 8 20 8"/><line x1="16" y1="13" x2="8" y2="13"/><line x1="16" y1="17" x2="8" y2="17"/><circle cx="10" cy="9" r="1"/></svg>
                     Artikel-Verwaltung
@@ -71,6 +75,9 @@
                                 <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><path d="M23 19a2 2 0 0 1-2 2H3a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h4l2-3h6l2 3h4a2 2 0 0 1 2 2z"/><circle cx="12" cy="13" r="4"/></svg>
                                 Webcam aktivieren
                             </button>
+                            <select id="camera-select" class="btn btn-secondary" style="background: var(--color-bg-input); border-color: var(--border-glass); color: var(--text-primary); outline: none; padding: 10px 14px; max-width: 180px; display: none;">
+                                <option value="">Standard-Kamera</option>
+                            </select>
                             <button id="trigger-scale-btn" class="btn btn-primary btn-glow">
                                 <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><rect x="6" y="2" width="12" height="20" rx="2"/><path d="M12 18h.01"/></svg>
                                 Waage auslösen (Trigger)
@@ -108,7 +115,7 @@
                         <div class="card quick-select-card">
                             <div class="card-header">
                                 <h2 class="card-title">KI Schnellwahltasten</h2>
-                                <p class="card-subtitle">Vorschläge über Confidence-Schwellenwert &gt; 10%</p>
+                                <p class="card-subtitle">Vorschläge über Confidence-Schwellenwert &gt; 85%</p>
                             </div>
                             <div class="quick-buttons-container" id="quick-selection-buttons">
                                 <div class="empty-state">
@@ -179,6 +186,123 @@
                 </div>
             </section>
 
+            <!-- LEARN ARTICLE TAB (ANLERN-MODUS) -->
+            <section id="tab-learn" class="tab-content">
+                <div class="checkout-grid">
+                    <!-- Left: Camera Preview & Calibration -->
+                    <div class="card camera-card">
+                        <div class="card-header">
+                            <div>
+                                <h2 class="card-title">Live-Kamerabild (Von oben)</h2>
+                                <p class="card-subtitle">Kalibriere die Null-Linie und richte das Produkt aus</p>
+                            </div>
+                            <span class="status-indicator" id="learn-calibration-indicator">Nicht kalibriert</span>
+                        </div>
+                        
+                        <div class="camera-viewport-container">
+                            <canvas id="learn-camera-canvas" width="640" height="480"></canvas>
+                            <div class="scale-target-overlay">
+                                <div class="scale-target-box"></div>
+                            </div>
+                            <div class="stream-badge" id="learn-camera-type-badge">SIMULATION-MODUS</div>
+                        </div>
+                        
+                        <div class="camera-controls" style="justify-content: space-between;">
+                            <div style="display: flex; gap: 12px; align-items: center;">
+                                <button id="learn-calibrate-btn" class="btn btn-secondary" onclick="calibrateBackground()">
+                                    <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><path d="M12 2v2M12 20v2M4.93 4.93l1.41 1.41M17.66 17.66l1.41 1.41M2 12h2M20 12h2M6.34 17.66l-1.41 1.41M19.07 4.93l-1.41 1.41"/></svg>
+                                    Hintergrund speichern
+                                </button>
+                                <button id="learn-reset-calibrate-btn" class="btn btn-danger" style="padding: 10px 14px;" onclick="resetBackgroundCalibration()" title="Hintergrundkalibrierung löschen">
+                                    Reset
+                                </button>
+                                <select id="learn-camera-select" class="btn btn-secondary" style="background: var(--color-bg-input); border-color: var(--border-glass); color: var(--text-primary); outline: none; padding: 10px 14px; max-width: 180px; display: none;">
+                                    <option value="">Standard-Kamera</option>
+                                </select>
+                            </div>
+                            <label class="toggle-control">
+                                <input type="checkbox" id="learn-bg-ok-indicator" disabled>
+                                <span class="toggle-slider"></span>
+                                <span class="toggle-label">Hintergrund OK</span>
+                            </label>
+                        </div>
+                    </div>
+
+                    <!-- Right: Product Selection & Controls -->
+                    <div class="checkout-sidebar">
+                        <!-- Product Selection -->
+                        <div class="card">
+                            <div class="card-header">
+                                <h2 class="card-title">Artikel-Details</h2>
+                                <p class="card-subtitle">Wähle den anzulernenden Artikel aus</p>
+                            </div>
+                            <div class="card-body" style="display: flex; flex-direction: column; gap: 16px;">
+                                <div class="control-group" style="margin-bottom: 0;">
+                                    <label for="learn-search-input">Suche / PLU-Nummer</label>
+                                    <input type="text" id="learn-search-input" class="input-field" placeholder="z.B. 4011 oder Banane..." oninput="filterLearnArticles()" style="width: 100%; background: var(--color-bg-input); border: 1px solid var(--border-glass); color: var(--text-primary); padding: 10px 14px; border-radius: var(--border-radius-md); font-size: 14px;">
+                                </div>
+                                <div class="learn-articles-list" id="learn-articles-list" style="max-height: 180px; overflow-y: auto; display: flex; flex-direction: column; gap: 6px; border: 1px solid var(--border-glass); padding: 8px; border-radius: var(--border-radius-md); background: rgba(0,0,0,0.15);">
+                                    <!-- Populated by JS -->
+                                </div>
+                                <div style="display: flex; flex-direction: column; gap: 4px; padding-top: 8px; border-top: 1px solid var(--border-glass);">
+                                    <span style="font-size: 12px; color: var(--text-secondary);">Ausgewählter Artikel:</span>
+                                    <strong id="learn-selected-article-display" style="font-size: 16px; color: var(--color-primary);">Kein Artikel ausgewählt</strong>
+                                </div>
+                            </div>
+                        </div>
+
+                        <!-- Recording Controls -->
+                        <div class="card">
+                            <div class="card-header">
+                                <h2 class="card-title">Aufnahme-Steuerung</h2>
+                                <p class="card-subtitle">Serienaufnahme starten und Artikel drehen</p>
+                            </div>
+                            <div class="card-body" style="display: flex; flex-direction: column; gap: 16px;">
+                                <button id="learn-start-capture-btn" class="btn btn-accent btn-glow" style="width: 100%; height: 50px; font-size: 15px;" onclick="startSerialCapture()">
+                                    <svg width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><circle cx="12" cy="12" r="10"/><circle cx="12" cy="12" r="3" fill="currentColor"/></svg>
+                                    START (SERIENAUFNAHME)
+                                </button>
+                                <div class="progress-info" style="display: flex; justify-content: space-between; font-size: 13px; color: var(--text-secondary);">
+                                    <span>Fortschritt:</span>
+                                    <span id="learn-progress-text">0 / 10 Bilder</span>
+                                </div>
+                                <div class="progress-bar-container" style="height: 10px;">
+                                    <div class="progress-bar-fill" id="learn-progress-fill" style="width: 0%; background: var(--color-accent); box-shadow: 0 0 10px var(--color-accent-glow);"></div>
+                                </div>
+                                <p style="font-size: 12px; color: var(--text-muted); line-height: 1.4;">
+                                    Das System nimmt im Sekundentakt automatisch 10 Bilder auf. Stupsen Sie das Produkt zwischen den Signaltönen leicht an, um verschiedene Ansichten zu erfassen.
+                                </p>
+                            </div>
+                        </div>
+                    </div>
+                </div>
+
+                <!-- Gallery Section -->
+                <div class="card" style="margin-top: 24px;">
+                    <div class="card-header">
+                        <div>
+                            <h2 class="card-title">Bilder-Galerie (Aktuelle Session)</h2>
+                            <p class="card-subtitle">Hier werden die 10 aufgenommenen Bilder angezeigt. Lösche fehlerhafte Bilder per Klick auf das X.</p>
+                        </div>
+                        <div style="display: flex; gap: 12px; align-items: center;">
+                            <span class="capture-count-badge" id="learn-session-count-badge">Session Bilder: 0</span>
+                            <button id="reset-all-captures-btn" class="btn btn-danger" onclick="resetAllCapturedData()" style="display: flex; align-items: center; gap: 8px; padding: 8px 16px; font-size: 13px;">
+                                <svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><polyline points="3 6 5 6 21 6"/><path d="M19 6v14a2 2 0 0 1-2 2H7a2 2 0 0 1-2-2V6m3 0V4a2 2 0 0 1 2-2h4a2 2 0 0 1 2 2v2"/></svg>
+                                Alle Trainingsbilder löschen
+                            </button>
+                        </div>
+                    </div>
+                    <div class="card-body">
+                        <div class="gallery-grid" id="learn-gallery-grid" style="display: grid; grid-template-columns: repeat(auto-fill, minmax(110px, 1fr)); gap: 16px;">
+                            <div class="empty-state" id="learn-gallery-empty" style="grid-column: 1 / -1; padding: 40px 0;">
+                                <p>Noch keine Aufnahmen in dieser Session</p>
+                                <span>Wähle ein Produkt und starte die Serienaufnahme</span>
+                            </div>
+                        </div>
+                    </div>
+                </div>
+            </section>
+
             <!-- DEVELOPER DASHBOARD TAB -->
             <section id="tab-dashboard" class="tab-content">
                 <div class="dashboard-grid">
@@ -217,6 +341,49 @@
                             </div>
                         </div>
 
+                        <!-- Step 0: Reset Captured Training Data -->
+                        <div class="card" style="border: 1px solid rgba(239, 68, 68, 0.3); background: rgba(239, 68, 68, 0.04);">
+                            <div class="card-header">
+                                <div>
+                                    <h2 class="card-title" style="color: var(--color-danger);">⚠ KI Gefahrenzone & Reset-Optionen</h2>
+                                    <p class="card-subtitle">Trainingsdaten löschen oder das trainierte KI-Modell zurücksetzen</p>
+                                </div>
+                            </div>
+                            <div class="card-body" style="display: flex; flex-direction: column; gap: 20px;">
+                                <!-- Option 1: Dataset reset -->
+                                <div style="display: flex; flex-direction: column; gap: 8px;">
+                                    <h3 style="margin: 0; font-size: 14px; color: var(--text-primary);">1. Trainingsbilder & Kalibrierung</h3>
+                                    <p style="font-size: 13px; color: var(--text-secondary); margin: 0; line-height: 1.5;">
+                                        Löscht alle selbst erfassten Trainingsbilder und setzt den kalibrierten Hintergrund zurück.
+                                    </p>
+                                    <div class="action-row" style="margin-top: 4px;">
+                                        <button id="dashboard-reset-btn" class="btn btn-danger" onclick="resetAllCapturedData()" style="display: flex; align-items: center; gap: 8px;">
+                                            <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><polyline points="3 6 5 6 21 6"/><path d="M19 6v14a2 2 0 0 1-2 2H7a2 2 0 0 1-2-2V6m3 0V4a2 2 0 0 1 2-2h4a2 2 0 0 1 2 2v2"/></svg>
+                                            Eigene Bilder & Kalibrierung zurücksetzen
+                                        </button>
+                                        <span class="action-desc" style="color: var(--color-danger); font-weight: 500;">Nicht umkehrbar!</span>
+                                    </div>
+                                </div>
+
+                                <div style="border-top: 1px solid rgba(239, 68, 68, 0.2); width: 100%;"></div>
+
+                                <!-- Option 2: Model reset -->
+                                <div style="display: flex; flex-direction: column; gap: 8px;">
+                                    <h3 style="margin: 0; font-size: 14px; color: var(--text-primary);">2. KI-Modell zurücksetzen</h3>
+                                    <p style="font-size: 13px; color: var(--text-secondary); margin: 0; line-height: 1.5;">
+                                        Löscht das trainierte PyTorch- und ONNX-Modell. Das System fällt danach in den Simulations-Modus zurück, bis ein neues Modell trainiert wird.
+                                    </p>
+                                    <div class="action-row" style="margin-top: 4px;">
+                                        <button id="dashboard-reset-model-btn" class="btn btn-danger" onclick="resetAIModel()" style="display: flex; align-items: center; gap: 8px; background: linear-gradient(135deg, rgba(239, 68, 68, 0.2), rgba(239, 68, 68, 0.3)); border: 1px solid rgba(239, 68, 68, 0.5);">
+                                            <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M21.5 2v6h-6M21.34 15.57a10 10 0 1 1-.57-8.38l5.67-5.67"/></svg>
+                                            Trainiertes KI-Modell zurücksetzen
+                                        </button>
+                                        <span class="action-desc" style="color: var(--color-danger); font-weight: 500;">Setzt Inferenz auf Simulation zurück.</span>
+                                    </div>
+                                </div>
+                            </div>
+                        </div>
+
                         <!-- Step 3: Export & Hardware-Performance -->
                         <div class="card">
                             <div class="card-header">
@@ -272,14 +439,17 @@
                                     <div class="control-group">
                                         <label for="param-batch">Batch Size</label>
                                         <select id="param-batch">
-                                            <option value="4">4</option>
-                                            <option value="8" selected>8</option>
-                                            <option value="16">16</option>
+                                            <option value="4" selected>4 (CPU empfohlen)</option>
+                                            <option value="8">8 (GPU)</option>
+                                            <option value="16">16 (GPU)</option>
                                         </select>
                                     </div>
                                     <button class="btn btn-primary" id="start-training-btn" onclick="startTraining()">
                                         Training starten
                                     </button>
+                                    <button class="btn btn-danger" id="cancel-training-btn" onclick="cancelTraining()" style="display: none;">
+                                        Abbrechen
+                                    </button>
                                 </div>
 
                                 <!-- Training Status -->
@@ -373,7 +543,7 @@
         
         <!-- Footer -->
         <footer class="app-footer">
-            <p>Lizenz-Fokus: 100% kommerziell nutzbar, BSD & MIT Open-Source Lizenzen. ONNX Runtime Inference.</p>
+            <p>Made by Hephex Industries</p>
         </footer>
     </div>
     
diff --git a/app/static/styles.css b/app/static/styles.css
index 2e1d87a..3ff0161 100644
--- a/app/static/styles.css
+++ b/app/static/styles.css
@@ -1073,3 +1073,105 @@ input:checked + .toggle-slider::before {
     color: var(--text-muted);
     font-size: 11px;
 }
+
+/* Learn Tab specific styles */
+.learn-articles-list {
+    scrollbar-width: thin;
+    scrollbar-color: var(--border-glass) transparent;
+}
+
+.learn-article-item {
+    padding: 8px 12px;
+    border-radius: var(--border-radius-sm);
+    background: rgba(255, 255, 255, 0.02);
+    border: 1px solid var(--border-glass);
+    color: var(--text-secondary);
+    font-size: 13px;
+    cursor: pointer;
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    transition: all 0.2s ease;
+}
+
+.learn-article-item:hover {
+    background: rgba(99, 102, 241, 0.06);
+    border-color: rgba(99, 102, 241, 0.3);
+    color: var(--text-primary);
+}
+
+.learn-article-item.selected {
+    background: rgba(99, 102, 241, 0.15);
+    border-color: var(--color-primary);
+    color: var(--text-primary);
+    box-shadow: 0 0 10px rgba(99, 102, 241, 0.15);
+    font-weight: 500;
+}
+
+.learn-article-item .item-plu {
+    font-family: monospace;
+    font-size: 11px;
+    background: rgba(255, 255, 255, 0.05);
+    padding: 2px 6px;
+    border-radius: 4px;
+    color: var(--text-muted);
+}
+
+.learn-article-item.selected .item-plu {
+    background: rgba(99, 102, 241, 0.3);
+    color: #a5b4fc;
+}
+
+.gallery-item-wrapper {
+    position: relative;
+    border-radius: var(--border-radius-md);
+    border: 1px solid var(--border-glass);
+    background: rgba(0, 0, 0, 0.3);
+    aspect-ratio: 4/3;
+    overflow: hidden;
+    box-shadow: 0 4px 6px rgba(0, 0, 0, 0.3);
+    transition: all 0.2s ease;
+}
+
+.gallery-item-wrapper:hover {
+    transform: scale(1.03);
+    border-color: var(--color-accent);
+    box-shadow: 0 4px 12px rgba(168, 85, 247, 0.2);
+}
+
+.gallery-item-img {
+    width: 100%;
+    height: 100%;
+    object-fit: cover;
+    display: block;
+}
+
+.gallery-item-delete-btn {
+    position: absolute;
+    top: 6px;
+    right: 6px;
+    width: 22px;
+    height: 22px;
+    background: rgba(239, 68, 68, 0.9);
+    border: none;
+    color: #fff;
+    border-radius: 50%;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    cursor: pointer;
+    opacity: 0;
+    transition: all 0.2s ease;
+    font-size: 11px;
+    font-weight: bold;
+    box-shadow: 0 2px 4px rgba(0,0,0,0.5);
+}
+
+.gallery-item-wrapper:hover .gallery-item-delete-btn {
+    opacity: 1;
+}
+
+.gallery-item-delete-btn:hover {
+    background: var(--color-danger);
+    transform: scale(1.1);
+}
diff --git a/articles.json b/articles.json
index 7669785..3ab5406 100644
--- a/articles.json
+++ b/articles.json
@@ -1,15 +1,15 @@
 {
   "apfel_elstar": {
     "name": "Apfel Elstar",
-    "ean": "4001234000018"
+    "ean": "4001234000163"
   },
   "apfel_gala": {
     "name": "Apfel Gala",
-    "ean": "4001234000025"
+    "ean": "4005096027968"
   },
   "apfel_granny_smith": {
     "name": "Apfel Granny Smith",
-    "ean": "4001234000032"
+    "ean": "4018178051126"
   },
   "banane_chiquita": {
     "name": "Banane Chiquita",
@@ -17,7 +17,7 @@
   },
   "banane_bio": {
     "name": "Bio Banane",
-    "ean": "4001234000056"
+    "ean": "4004545329462"
   },
   "birne": {
     "name": "Birne Abate Fetel",
@@ -25,19 +25,19 @@
   },
   "orange": {
     "name": "Orangen",
-    "ean": "4001234000070"
+    "ean": "4040328034000"
   },
   "zitrone": {
     "name": "Zitronen",
-    "ean": "4001234000087"
+    "ean": "4001021530701"
   },
   "limette": {
     "name": "Limetten",
-    "ean": "4001234000094"
+    "ean": "4001165020311"
   },
   "erdbeere": {
     "name": "Erdbeeren Schale",
-    "ean": "4001234000100"
+    "ean": "6903929829957"
   },
   "blaubeere": {
     "name": "Kulturheidelbeeren",
@@ -110,5 +110,9 @@
   "avocado": {
     "name": "Avocado Hass",
     "ean": "4001234000285"
+  },
+  "handy": {
+    "name": "Iphone",
+    "ean": "6903929829940"
   }
 }
\ No newline at end of file
diff --git a/dataset/background.jpg b/dataset/background.jpg
new file mode 100644
index 0000000..06c9047
Binary files /dev/null and b/dataset/background.jpg differ
diff --git a/dataset/classes.txt b/dataset/classes.txt
index ae5d8b5..36b211f 100644
--- a/dataset/classes.txt
+++ b/dataset/classes.txt
@@ -25,4 +25,5 @@ paprika_gelb
 paprika_gruen
 champignon
 zucchini
-avocado
\ No newline at end of file
+avocado
+handy
\ No newline at end of file
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index 479af41..658747d 100644
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index b956581..c05d6ef 100644
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diff --git a/dataset/labels/train/train_0000.txt b/dataset/labels/train/train_0000.txt
index 98c28f3..5b93b6b 100644
--- a/dataset/labels/train/train_0000.txt
+++ b/dataset/labels/train/train_0000.txt
@@ -1,2 +1 @@
-12 0.402344 0.168750 0.157812 0.166667
-12 0.849219 0.735417 0.157812 0.204167
\ No newline at end of file
+13 0.151562 0.360417 0.175000 0.250000
\ No newline at end of file
diff --git a/dataset/labels/train/train_0001.txt b/dataset/labels/train/train_0001.txt
index 79de889..b0676ff 100644
--- a/dataset/labels/train/train_0001.txt
+++ b/dataset/labels/train/train_0001.txt
@@ -1,2 +1,3 @@
-1 0.454688 0.616667 0.231250 0.270833
-18 0.164844 0.598958 0.204687 0.222917
\ No newline at end of file
+25 0.153906 0.400000 0.151562 0.225000
+21 0.317188 0.231250 0.165625 0.300000
+15 0.362500 0.533333 0.125000 0.258333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0002.txt b/dataset/labels/train/train_0002.txt
index e745b52..12b07a3 100644
--- a/dataset/labels/train/train_0002.txt
+++ b/dataset/labels/train/train_0002.txt
@@ -1,2 +1 @@
-19 0.279687 0.358333 0.171875 0.216667
-2 0.175000 0.646875 0.140625 0.227083
\ No newline at end of file
+1 0.566406 0.256250 0.270313 0.370833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0003.txt b/dataset/labels/train/train_0003.txt
index 7418f9c..e69de29 100644
--- a/dataset/labels/train/train_0003.txt
+++ b/dataset/labels/train/train_0003.txt
@@ -1,3 +0,0 @@
-15 0.274219 0.418750 0.079687 0.312500
-26 0.507812 0.661458 0.225000 0.172917
-4 0.117969 0.286458 0.079687 0.214583
\ No newline at end of file
diff --git a/dataset/labels/train/train_0004.txt b/dataset/labels/train/train_0004.txt
index 6cf9bc2..a8dd247 100644
--- a/dataset/labels/train/train_0004.txt
+++ b/dataset/labels/train/train_0004.txt
@@ -1,2 +1 @@
-11 0.775781 0.526042 0.160938 0.310417
-4 0.309375 0.592708 0.171875 0.227083
\ No newline at end of file
+7 0.850000 0.343750 0.131250 0.112500
\ No newline at end of file
diff --git a/dataset/labels/train/train_0005.txt b/dataset/labels/train/train_0005.txt
index 22522eb..fde7769 100644
--- a/dataset/labels/train/train_0005.txt
+++ b/dataset/labels/train/train_0005.txt
@@ -1,3 +1,3 @@
-11 0.104688 0.788542 0.106250 0.206250
-18 0.720313 0.701042 0.168750 0.256250
-13 0.707031 0.462500 0.214062 0.254167
\ No newline at end of file
+11 0.832812 0.266667 0.128125 0.250000
+25 0.740625 0.732292 0.156250 0.222917
+1 0.382812 0.751042 0.275000 0.285417
\ No newline at end of file
diff --git a/dataset/labels/train/train_0006.txt b/dataset/labels/train/train_0006.txt
index c658965..ed9c019 100644
--- a/dataset/labels/train/train_0006.txt
+++ b/dataset/labels/train/train_0006.txt
@@ -1 +1,3 @@
-9 0.823438 0.650000 0.159375 0.270833
\ No newline at end of file
+21 0.660937 0.819792 0.153125 0.139583
+2 0.496094 0.612500 0.142187 0.233333
+13 0.285156 0.577083 0.198437 0.304167
\ No newline at end of file
diff --git a/dataset/labels/train/train_0007.txt b/dataset/labels/train/train_0007.txt
index 80a0c13..2613b43 100644
--- a/dataset/labels/train/train_0007.txt
+++ b/dataset/labels/train/train_0007.txt
@@ -1,3 +1 @@
-14 0.782813 0.323958 0.175000 0.197917
-5 0.557813 0.376042 0.193750 0.368750
-24 0.651563 0.762500 0.206250 0.283333
\ No newline at end of file
+18 0.506250 0.788542 0.146875 0.235417
\ No newline at end of file
diff --git a/dataset/labels/train/train_0008.txt b/dataset/labels/train/train_0008.txt
index 2a071ad..53ec02d 100644
--- a/dataset/labels/train/train_0008.txt
+++ b/dataset/labels/train/train_0008.txt
@@ -1 +1,3 @@
-8 0.410938 0.693750 0.184375 0.170833
\ No newline at end of file
+10 0.102344 0.238542 0.107813 0.147917
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+18 0.532813 0.702083 0.190625 0.283333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0009.txt b/dataset/labels/train/train_0009.txt
index fed128d..30feded 100644
--- a/dataset/labels/train/train_0009.txt
+++ b/dataset/labels/train/train_0009.txt
@@ -1,3 +1,3 @@
-13 0.640625 0.641667 0.143750 0.225000
-2 0.278125 0.735417 0.187500 0.262500
-16 0.825781 0.695833 0.182812 0.254167
\ No newline at end of file
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+10 0.861719 0.353125 0.110937 0.152083
\ No newline at end of file
diff --git a/dataset/labels/train/train_0010.txt b/dataset/labels/train/train_0010.txt
index b94d3e0..9901e9c 100644
--- a/dataset/labels/train/train_0010.txt
+++ b/dataset/labels/train/train_0010.txt
@@ -1,3 +1,2 @@
-10 0.632812 0.137500 0.087500 0.104167
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-19 0.192969 0.635417 0.148438 0.233333
\ No newline at end of file
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\ No newline at end of file
diff --git a/dataset/labels/train/train_0011.txt b/dataset/labels/train/train_0011.txt
index a3c2159..d979427 100644
--- a/dataset/labels/train/train_0011.txt
+++ b/dataset/labels/train/train_0011.txt
@@ -1 +1,2 @@
-6 0.706250 0.591667 0.150000 0.200000
\ No newline at end of file
+2 0.614062 0.347917 0.231250 0.283333
+23 0.457031 0.551042 0.189062 0.277083
\ No newline at end of file
diff --git a/dataset/labels/train/train_0012.txt b/dataset/labels/train/train_0012.txt
index 2cc19a1..e69de29 100644
--- a/dataset/labels/train/train_0012.txt
+++ b/dataset/labels/train/train_0012.txt
@@ -1,3 +0,0 @@
-1 0.177344 0.369792 0.251563 0.281250
-15 0.900781 0.612500 0.104688 0.175000
-18 0.184375 0.572917 0.162500 0.175000
\ No newline at end of file
diff --git a/dataset/labels/train/train_0013.txt b/dataset/labels/train/train_0013.txt
index 0ff2123..a18f03b 100644
--- a/dataset/labels/train/train_0013.txt
+++ b/dataset/labels/train/train_0013.txt
@@ -1,2 +1,2 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/dataset/labels/train/train_0014.txt b/dataset/labels/train/train_0014.txt
index b61619f..5161812 100644
--- a/dataset/labels/train/train_0014.txt
+++ b/dataset/labels/train/train_0014.txt
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/dataset/labels/train/train_0015.txt b/dataset/labels/train/train_0015.txt
index 915ab1b..b9cc475 100644
--- a/dataset/labels/train/train_0015.txt
+++ b/dataset/labels/train/train_0015.txt
@@ -1,2 +1,2 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/dataset/labels/train/train_0016.txt b/dataset/labels/train/train_0016.txt
index 316ea43..97ee886 100644
--- a/dataset/labels/train/train_0016.txt
+++ b/dataset/labels/train/train_0016.txt
@@ -1,2 +1,3 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/dataset/labels/train/train_0017.txt b/dataset/labels/train/train_0017.txt
index 89a5688..8247f2f 100644
--- a/dataset/labels/train/train_0017.txt
+++ b/dataset/labels/train/train_0017.txt
@@ -1,2 +1,2 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/dataset/labels/train/train_0018.txt b/dataset/labels/train/train_0018.txt
index 38910fd..f523701 100644
--- a/dataset/labels/train/train_0018.txt
+++ b/dataset/labels/train/train_0018.txt
@@ -1,2 +1,2 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/dataset/labels/train/train_0019.txt b/dataset/labels/train/train_0019.txt
index c009e4d..f50ab50 100644
--- a/dataset/labels/train/train_0019.txt
+++ b/dataset/labels/train/train_0019.txt
@@ -1,3 +1 @@
-22 0.602344 0.772917 0.210938 0.270833
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-20 0.392969 0.519792 0.189062 0.289583
\ No newline at end of file
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\ No newline at end of file
diff --git a/dataset/labels/train/train_0020.txt b/dataset/labels/train/train_0020.txt
index 269ecf9..b482bce 100644
--- a/dataset/labels/train/train_0020.txt
+++ b/dataset/labels/train/train_0020.txt
@@ -1 +1,2 @@
-19 0.564844 0.444792 0.123438 0.197917
\ No newline at end of file
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+11 0.782031 0.341667 0.167187 0.162500
\ No newline at end of file
diff --git a/dataset/labels/train/train_0021.txt b/dataset/labels/train/train_0021.txt
index b60338a..be1eaab 100644
--- a/dataset/labels/train/train_0021.txt
+++ b/dataset/labels/train/train_0021.txt
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/dataset/labels/train/train_0022.txt b/dataset/labels/train/train_0022.txt
index 785527f..08b0278 100644
--- a/dataset/labels/train/train_0022.txt
+++ b/dataset/labels/train/train_0022.txt
@@ -1,3 +1 @@
-16 0.146094 0.480208 0.195312 0.168750
-21 0.682813 0.831250 0.178125 0.204167
-13 0.842969 0.522917 0.160938 0.187500
\ No newline at end of file
+11 0.679688 0.633333 0.175000 0.337500
\ No newline at end of file
diff --git a/dataset/labels/train/train_0023.txt b/dataset/labels/train/train_0023.txt
index 4a11def..a258e7f 100644
--- a/dataset/labels/train/train_0023.txt
+++ b/dataset/labels/train/train_0023.txt
@@ -1,3 +1 @@
-17 0.735938 0.141667 0.165625 0.075000
-16 0.697656 0.459375 0.173437 0.177083
-17 0.696094 0.671875 0.245312 0.131250
\ No newline at end of file
+6 0.339062 0.266667 0.171875 0.229167
\ No newline at end of file
diff --git a/dataset/labels/train/train_0024.txt b/dataset/labels/train/train_0024.txt
index 0ca39be..7dba3a2 100644
--- a/dataset/labels/train/train_0024.txt
+++ b/dataset/labels/train/train_0024.txt
@@ -1 +1 @@
-16 0.445312 0.457292 0.184375 0.181250
\ No newline at end of file
+24 0.671094 0.689583 0.142187 0.179167
\ No newline at end of file
diff --git a/dataset/labels/train/train_0025.txt b/dataset/labels/train/train_0025.txt
index 9ba4593..332fc85 100644
--- a/dataset/labels/train/train_0025.txt
+++ b/dataset/labels/train/train_0025.txt
@@ -1,2 +1 @@
-10 0.509375 0.861458 0.121875 0.152083
-10 0.248438 0.146875 0.112500 0.135417
\ No newline at end of file
+16 0.579688 0.682292 0.178125 0.206250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0026.txt b/dataset/labels/train/train_0026.txt
index 735cd99..92b0fbd 100644
--- a/dataset/labels/train/train_0026.txt
+++ b/dataset/labels/train/train_0026.txt
@@ -1,3 +1 @@
-17 0.864844 0.800000 0.170313 0.225000
-9 0.732031 0.790625 0.164062 0.160417
-18 0.346094 0.560417 0.114062 0.187500
\ No newline at end of file
+10 0.285156 0.762500 0.082812 0.104167
\ No newline at end of file
diff --git a/dataset/labels/train/train_0027.txt b/dataset/labels/train/train_0027.txt
index f8b501f..3f12201 100644
--- a/dataset/labels/train/train_0027.txt
+++ b/dataset/labels/train/train_0027.txt
@@ -1,2 +1 @@
-14 0.817187 0.581250 0.115625 0.187500
-19 0.553906 0.341667 0.182812 0.237500
\ No newline at end of file
+25 0.441406 0.707292 0.182812 0.272917
\ No newline at end of file
diff --git a/dataset/labels/train/train_0028.txt b/dataset/labels/train/train_0028.txt
index 7d11be8..83eb240 100644
--- a/dataset/labels/train/train_0028.txt
+++ b/dataset/labels/train/train_0028.txt
@@ -1,2 +1,2 @@
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-13 0.759375 0.718750 0.168750 0.216667
\ No newline at end of file
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\ No newline at end of file
diff --git a/dataset/labels/train/train_0029.txt b/dataset/labels/train/train_0029.txt
index d5567c2..8344c54 100644
--- a/dataset/labels/train/train_0029.txt
+++ b/dataset/labels/train/train_0029.txt
@@ -1,3 +1,3 @@
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-4 0.803906 0.487500 0.182812 0.170833
\ No newline at end of file
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\ No newline at end of file
diff --git a/dataset/labels/train/train_0030.txt b/dataset/labels/train/train_0030.txt
index e7676c0..936598c 100644
--- a/dataset/labels/train/train_0030.txt
+++ b/dataset/labels/train/train_0030.txt
@@ -1,3 +1,3 @@
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-6 0.477344 0.503125 0.126562 0.168750
\ No newline at end of file
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\ No newline at end of file
diff --git a/dataset/labels/train/train_0031.txt b/dataset/labels/train/train_0031.txt
index 2a53eeb..b23345a 100644
--- a/dataset/labels/train/train_0031.txt
+++ b/dataset/labels/train/train_0031.txt
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/dataset/labels/train/train_0032.txt b/dataset/labels/train/train_0032.txt
index 79f0fbe..c7e0111 100644
--- a/dataset/labels/train/train_0032.txt
+++ b/dataset/labels/train/train_0032.txt
@@ -1,2 +1,3 @@
-1 0.539062 0.435417 0.275000 0.329167
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\ No newline at end of file
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+27 0.555469 0.607292 0.135937 0.172917
+3 0.255469 0.273958 0.135937 0.335417
\ No newline at end of file
diff --git a/dataset/labels/train/train_0033.txt b/dataset/labels/train/train_0033.txt
index 8800aee..cf39fdf 100644
--- a/dataset/labels/train/train_0033.txt
+++ b/dataset/labels/train/train_0033.txt
@@ -1 +1 @@
-17 0.829688 0.319792 0.140625 0.177083
\ No newline at end of file
+1 0.723437 0.425000 0.262500 0.300000
\ No newline at end of file
diff --git a/dataset/labels/train/train_0034.txt b/dataset/labels/train/train_0034.txt
index 51ebab4..0fa0f52 100644
--- a/dataset/labels/train/train_0034.txt
+++ b/dataset/labels/train/train_0034.txt
@@ -1 +1 @@
-12 0.678906 0.626042 0.173437 0.343750
\ No newline at end of file
+10 0.639062 0.654167 0.087500 0.129167
\ No newline at end of file
diff --git a/dataset/labels/train/train_0035.txt b/dataset/labels/train/train_0035.txt
index db14627..f108d8e 100644
--- a/dataset/labels/train/train_0035.txt
+++ b/dataset/labels/train/train_0035.txt
@@ -1,3 +1 @@
-5 0.418750 0.227083 0.168750 0.191667
-5 0.176563 0.523958 0.181250 0.268750
-2 0.239844 0.332292 0.220312 0.247917
\ No newline at end of file
+25 0.299219 0.354167 0.210938 0.254167
\ No newline at end of file
diff --git a/dataset/labels/train/train_0036.txt b/dataset/labels/train/train_0036.txt
index f73f1d6..410beee 100644
--- a/dataset/labels/train/train_0036.txt
+++ b/dataset/labels/train/train_0036.txt
@@ -1,3 +1,2 @@
-26 0.642188 0.720833 0.150000 0.233333
-8 0.474219 0.235417 0.123438 0.258333
-15 0.113281 0.607292 0.132812 0.331250
\ No newline at end of file
+4 0.523438 0.234375 0.087500 0.247917
+22 0.792188 0.204167 0.175000 0.237500
\ No newline at end of file
diff --git a/dataset/labels/train/train_0037.txt b/dataset/labels/train/train_0037.txt
index a7334de..30f239a 100644
--- a/dataset/labels/train/train_0037.txt
+++ b/dataset/labels/train/train_0037.txt
@@ -1,3 +1 @@
-24 0.760156 0.542708 0.217188 0.277083
-2 0.703125 0.337500 0.156250 0.191667
-17 0.546094 0.246875 0.189062 0.227083
\ No newline at end of file
+16 0.417969 0.612500 0.157812 0.158333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0038.txt b/dataset/labels/train/train_0038.txt
index 99c1a35..cb16ef1 100644
--- a/dataset/labels/train/train_0038.txt
+++ b/dataset/labels/train/train_0038.txt
@@ -1 +1,3 @@
-13 0.782031 0.782292 0.214062 0.310417
\ No newline at end of file
+17 0.454688 0.297917 0.234375 0.195833
+17 0.741406 0.433333 0.182812 0.279167
+27 0.197656 0.514583 0.204687 0.250000
\ No newline at end of file
diff --git a/dataset/labels/train/train_0039.txt b/dataset/labels/train/train_0039.txt
index 8e740ab..8f50701 100644
--- a/dataset/labels/train/train_0039.txt
+++ b/dataset/labels/train/train_0039.txt
@@ -1,3 +1,2 @@
-10 0.468750 0.153125 0.118750 0.156250
-5 0.580469 0.798958 0.170313 0.160417
-9 0.317969 0.421875 0.179688 0.177083
\ No newline at end of file
+13 0.514844 0.681250 0.151562 0.220833
+9 0.208594 0.493750 0.185938 0.183333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0040.txt b/dataset/labels/train/train_0040.txt
index ac7b6fd..0278c8b 100644
--- a/dataset/labels/train/train_0040.txt
+++ b/dataset/labels/train/train_0040.txt
@@ -1,3 +1,2 @@
-18 0.205469 0.533333 0.214062 0.237500
-8 0.807813 0.203125 0.181250 0.164583
-16 0.470313 0.735417 0.181250 0.241667
\ No newline at end of file
+2 0.662500 0.622917 0.175000 0.241667
+0 0.407031 0.662500 0.182812 0.287500
\ No newline at end of file
diff --git a/dataset/labels/train/train_0041.txt b/dataset/labels/train/train_0041.txt
index 6bf16b7..1fe1089 100644
--- a/dataset/labels/train/train_0041.txt
+++ b/dataset/labels/train/train_0041.txt
@@ -1,3 +1,3 @@
-19 0.667188 0.210417 0.156250 0.212500
-0 0.439844 0.523958 0.173437 0.193750
-26 0.146875 0.309375 0.125000 0.302083
\ No newline at end of file
+20 0.767969 0.213542 0.176563 0.235417
+3 0.311719 0.461458 0.251563 0.210417
+22 0.712500 0.527083 0.181250 0.220833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0042.txt b/dataset/labels/train/train_0042.txt
index 44ef9da..3feb28b 100644
--- a/dataset/labels/train/train_0042.txt
+++ b/dataset/labels/train/train_0042.txt
@@ -1,3 +1,2 @@
-10 0.517188 0.816667 0.078125 0.108333
-2 0.254688 0.486458 0.181250 0.247917
-7 0.868750 0.218750 0.128125 0.283333
\ No newline at end of file
+2 0.192188 0.266667 0.221875 0.270833
+23 0.677344 0.191667 0.145313 0.220833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0043.txt b/dataset/labels/train/train_0043.txt
index a906225..c8c6ded 100644
--- a/dataset/labels/train/train_0043.txt
+++ b/dataset/labels/train/train_0043.txt
@@ -1,3 +1,2 @@
-18 0.725000 0.722917 0.115625 0.191667
-3 0.435937 0.212500 0.246875 0.258333
-9 0.638281 0.270833 0.114062 0.191667
\ No newline at end of file
+3 0.439844 0.508333 0.182812 0.116667
+18 0.843750 0.403125 0.121875 0.177083
\ No newline at end of file
diff --git a/dataset/labels/train/train_0044.txt b/dataset/labels/train/train_0044.txt
index 09c86c3..801439b 100644
--- a/dataset/labels/train/train_0044.txt
+++ b/dataset/labels/train/train_0044.txt
@@ -1,3 +1,2 @@
-7 0.411719 0.330208 0.129688 0.281250
-23 0.450000 0.779167 0.190625 0.254167
-22 0.491406 0.565625 0.145313 0.172917
\ No newline at end of file
+13 0.394531 0.293750 0.185938 0.237500
+20 0.316406 0.663542 0.167187 0.239583
\ No newline at end of file
diff --git a/dataset/labels/train/train_0045.txt b/dataset/labels/train/train_0045.txt
index fa1a8e1..c04b5ef 100644
--- a/dataset/labels/train/train_0045.txt
+++ b/dataset/labels/train/train_0045.txt
@@ -1,2 +1,2 @@
-3 0.279687 0.441667 0.231250 0.225000
-18 0.545312 0.428125 0.184375 0.302083
\ No newline at end of file
+4 0.183594 0.767708 0.089063 0.181250
+4 0.577344 0.661458 0.226562 0.160417
\ No newline at end of file
diff --git a/dataset/labels/train/train_0046.txt b/dataset/labels/train/train_0046.txt
index 519309a..dfcdd82 100644
--- a/dataset/labels/train/train_0046.txt
+++ b/dataset/labels/train/train_0046.txt
@@ -1,2 +1 @@
-17 0.378125 0.709375 0.215625 0.135417
-11 0.396875 0.565625 0.178125 0.189583
\ No newline at end of file
+18 0.242188 0.613542 0.171875 0.285417
\ No newline at end of file
diff --git a/dataset/labels/train/train_0047.txt b/dataset/labels/train/train_0047.txt
index 3a053d9..c256912 100644
--- a/dataset/labels/train/train_0047.txt
+++ b/dataset/labels/train/train_0047.txt
@@ -1,2 +1 @@
-20 0.587500 0.484375 0.181250 0.214583
-6 0.225000 0.565625 0.193750 0.256250
\ No newline at end of file
+10 0.486719 0.212500 0.095312 0.129167
\ No newline at end of file
diff --git a/dataset/labels/train/train_0048.txt b/dataset/labels/train/train_0048.txt
index 53d2c70..e956009 100644
--- a/dataset/labels/train/train_0048.txt
+++ b/dataset/labels/train/train_0048.txt
@@ -1,3 +1,3 @@
-3 0.382812 0.577083 0.140625 0.287500
-23 0.282031 0.721875 0.195312 0.281250
-21 0.775781 0.415625 0.157812 0.277083
\ No newline at end of file
+7 0.892969 0.787500 0.101562 0.220833
+27 0.664844 0.552083 0.170313 0.250000
+5 0.314063 0.632292 0.203125 0.293750
\ No newline at end of file
diff --git a/dataset/labels/train/train_0049.txt b/dataset/labels/train/train_0049.txt
index 06abfc8..761fb69 100644
--- a/dataset/labels/train/train_0049.txt
+++ b/dataset/labels/train/train_0049.txt
@@ -1,2 +1 @@
-25 0.873437 0.581250 0.131250 0.158333
-0 0.466406 0.561458 0.176563 0.202083
\ No newline at end of file
+7 0.757031 0.244792 0.132812 0.181250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0050.txt b/dataset/labels/train/train_0050.txt
index 917918c..a1f0300 100644
--- a/dataset/labels/train/train_0050.txt
+++ b/dataset/labels/train/train_0050.txt
@@ -1,3 +1,2 @@
-4 0.399219 0.339583 0.157812 0.195833
-26 0.467187 0.782292 0.250000 0.243750
-2 0.800781 0.587500 0.142187 0.212500
\ No newline at end of file
+26 0.751563 0.304167 0.100000 0.308333
+24 0.655469 0.635417 0.170313 0.229167
\ No newline at end of file
diff --git a/dataset/labels/train/train_0051.txt b/dataset/labels/train/train_0051.txt
index 421fbb4..db484c2 100644
--- a/dataset/labels/train/train_0051.txt
+++ b/dataset/labels/train/train_0051.txt
@@ -1,2 +1 @@
-0 0.270313 0.635417 0.184375 0.295833
-6 0.352344 0.253125 0.192188 0.256250
\ No newline at end of file
+11 0.448437 0.687500 0.190625 0.170833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0052.txt b/dataset/labels/train/train_0052.txt
index cdf2430..ff5d503 100644
--- a/dataset/labels/train/train_0052.txt
+++ b/dataset/labels/train/train_0052.txt
@@ -1,3 +1,3 @@
-24 0.776563 0.565625 0.131250 0.185417
-13 0.841406 0.233333 0.145313 0.179167
-15 0.191406 0.743750 0.135937 0.195833
\ No newline at end of file
+21 0.709375 0.477083 0.187500 0.233333
+6 0.879687 0.456250 0.140625 0.187500
+25 0.635156 0.776042 0.154688 0.185417
\ No newline at end of file
diff --git a/dataset/labels/train/train_0053.txt b/dataset/labels/train/train_0053.txt
index fdedfef..bda62e6 100644
--- a/dataset/labels/train/train_0053.txt
+++ b/dataset/labels/train/train_0053.txt
@@ -1 +1,2 @@
-5 0.273438 0.762500 0.181250 0.345833
\ No newline at end of file
+8 0.594531 0.711458 0.114062 0.243750
+5 0.360156 0.431250 0.179688 0.166667
\ No newline at end of file
diff --git a/dataset/labels/train/train_0054.txt b/dataset/labels/train/train_0054.txt
index 4f30bcc..81f99a8 100644
--- a/dataset/labels/train/train_0054.txt
+++ b/dataset/labels/train/train_0054.txt
@@ -1,2 +1,2 @@
-16 0.792188 0.383333 0.137500 0.150000
-2 0.225000 0.660417 0.128125 0.208333
\ No newline at end of file
+17 0.384375 0.756250 0.165625 0.112500
+23 0.307812 0.372917 0.190625 0.283333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0055.txt b/dataset/labels/train/train_0055.txt
index c759969..36dfbb0 100644
--- a/dataset/labels/train/train_0055.txt
+++ b/dataset/labels/train/train_0055.txt
@@ -1 +1 @@
-20 0.528125 0.380208 0.168750 0.227083
\ No newline at end of file
+19 0.357031 0.216667 0.167187 0.212500
\ No newline at end of file
diff --git a/dataset/labels/train/train_0056.txt b/dataset/labels/train/train_0056.txt
index d386c3c..29ca048 100644
--- a/dataset/labels/train/train_0056.txt
+++ b/dataset/labels/train/train_0056.txt
@@ -1 +1,2 @@
-13 0.176563 0.656250 0.146875 0.170833
\ No newline at end of file
+12 0.285938 0.690625 0.215625 0.197917
+8 0.430469 0.427083 0.185938 0.158333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0057.txt b/dataset/labels/train/train_0057.txt
index 4263017..42e3ffc 100644
--- a/dataset/labels/train/train_0057.txt
+++ b/dataset/labels/train/train_0057.txt
@@ -1 +1,2 @@
-26 0.421875 0.212500 0.168750 0.237500
\ No newline at end of file
+15 0.815625 0.218750 0.228125 0.133333
+13 0.543750 0.262500 0.203125 0.320833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0058.txt b/dataset/labels/train/train_0058.txt
index f3380c2..00bcf31 100644
--- a/dataset/labels/train/train_0058.txt
+++ b/dataset/labels/train/train_0058.txt
@@ -1,2 +1,3 @@
-26 0.352344 0.367708 0.164062 0.343750
-1 0.491406 0.715625 0.279687 0.297917
\ No newline at end of file
+27 0.125781 0.167708 0.132812 0.185417
+6 0.753125 0.359375 0.184375 0.247917
+25 0.704688 0.789583 0.153125 0.187500
\ No newline at end of file
diff --git a/dataset/labels/train/train_0059.txt b/dataset/labels/train/train_0059.txt
index e5cb824..44fef63 100644
--- a/dataset/labels/train/train_0059.txt
+++ b/dataset/labels/train/train_0059.txt
@@ -1,2 +1,3 @@
-17 0.225000 0.680208 0.059375 0.264583
-21 0.337500 0.389583 0.156250 0.191667
\ No newline at end of file
+23 0.117969 0.214583 0.123438 0.183333
+13 0.596875 0.439583 0.146875 0.229167
+5 0.219531 0.589583 0.189062 0.175000
\ No newline at end of file
diff --git a/dataset/labels/train/train_0060.txt b/dataset/labels/train/train_0060.txt
index e4d6267..72fae3e 100644
--- a/dataset/labels/train/train_0060.txt
+++ b/dataset/labels/train/train_0060.txt
@@ -1 +1,2 @@
-21 0.366406 0.665625 0.226562 0.264583
\ No newline at end of file
+4 0.418750 0.529167 0.143750 0.079167
+1 0.342969 0.443750 0.217188 0.308333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0061.txt b/dataset/labels/train/train_0061.txt
index 8837a6f..cc2af5d 100644
--- a/dataset/labels/train/train_0061.txt
+++ b/dataset/labels/train/train_0061.txt
@@ -1,3 +1 @@
-5 0.706250 0.755208 0.168750 0.318750
-20 0.487500 0.679167 0.125000 0.166667
-22 0.511719 0.215625 0.204687 0.272917
\ No newline at end of file
+21 0.742969 0.782292 0.148438 0.268750
\ No newline at end of file
diff --git a/dataset/labels/train/train_0062.txt b/dataset/labels/train/train_0062.txt
index cf0ce90..5e9f14b 100644
--- a/dataset/labels/train/train_0062.txt
+++ b/dataset/labels/train/train_0062.txt
@@ -1 +1 @@
-26 0.706250 0.613542 0.175000 0.260417
\ No newline at end of file
+16 0.253906 0.509375 0.132812 0.268750
\ No newline at end of file
diff --git a/dataset/labels/train/train_0063.txt b/dataset/labels/train/train_0063.txt
index b8a17ab..c59081a 100644
--- a/dataset/labels/train/train_0063.txt
+++ b/dataset/labels/train/train_0063.txt
@@ -1,3 +1,2 @@
-3 0.153906 0.457292 0.101562 0.306250
-6 0.547656 0.765625 0.132812 0.177083
-0 0.567187 0.345833 0.225000 0.245833
\ No newline at end of file
+3 0.671094 0.206250 0.214062 0.158333
+20 0.838281 0.676042 0.195312 0.227083
\ No newline at end of file
diff --git a/dataset/labels/train/train_0064.txt b/dataset/labels/train/train_0064.txt
index 0f0a8c8..faa65d8 100644
--- a/dataset/labels/train/train_0064.txt
+++ b/dataset/labels/train/train_0064.txt
@@ -1,3 +1,3 @@
-1 0.382812 0.527083 0.303125 0.341667
-16 0.644531 0.467708 0.117188 0.210417
-17 0.193750 0.160417 0.206250 0.079167
\ No newline at end of file
+6 0.417969 0.762500 0.167187 0.220833
+12 0.671094 0.560417 0.201563 0.187500
+9 0.721875 0.402083 0.143750 0.141667
\ No newline at end of file
diff --git a/dataset/labels/train/train_0065.txt b/dataset/labels/train/train_0065.txt
index 9b66ae1..1a58da9 100644
--- a/dataset/labels/train/train_0065.txt
+++ b/dataset/labels/train/train_0065.txt
@@ -1,2 +1,3 @@
-12 0.754687 0.452083 0.206250 0.187500
-15 0.445312 0.608333 0.168750 0.216667
\ No newline at end of file
+25 0.602344 0.441667 0.151562 0.195833
+9 0.544531 0.647917 0.132812 0.166667
+20 0.275781 0.837500 0.139063 0.183333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0066.txt b/dataset/labels/train/train_0066.txt
index bb125d0..d095aaf 100644
--- a/dataset/labels/train/train_0066.txt
+++ b/dataset/labels/train/train_0066.txt
@@ -1,2 +1,2 @@
-26 0.542188 0.412500 0.200000 0.262500
-27 0.717969 0.768750 0.160938 0.216667
\ No newline at end of file
+22 0.173437 0.338542 0.140625 0.185417
+11 0.296094 0.176042 0.182812 0.202083
\ No newline at end of file
diff --git a/dataset/labels/train/train_0067.txt b/dataset/labels/train/train_0067.txt
index eec6772..ce9a8bc 100644
--- a/dataset/labels/train/train_0067.txt
+++ b/dataset/labels/train/train_0067.txt
@@ -1,2 +1 @@
-26 0.840625 0.641667 0.175000 0.100000
-20 0.232031 0.355208 0.179688 0.210417
\ No newline at end of file
+5 0.164844 0.175000 0.157812 0.170833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0068.txt b/dataset/labels/train/train_0068.txt
index c2e43a9..c97c7fc 100644
--- a/dataset/labels/train/train_0068.txt
+++ b/dataset/labels/train/train_0068.txt
@@ -1,2 +1,3 @@
-27 0.884375 0.834375 0.137500 0.193750
-11 0.389844 0.738542 0.114062 0.218750
\ No newline at end of file
+14 0.297656 0.820833 0.189062 0.204167
+19 0.458594 0.617708 0.135937 0.181250
+13 0.867188 0.487500 0.168750 0.262500
\ No newline at end of file
diff --git a/dataset/labels/train/train_0069.txt b/dataset/labels/train/train_0069.txt
index 60d0f85..b2cfe8e 100644
--- a/dataset/labels/train/train_0069.txt
+++ b/dataset/labels/train/train_0069.txt
@@ -1,3 +1 @@
-22 0.857031 0.728125 0.179688 0.239583
-2 0.771875 0.563542 0.162500 0.264583
-21 0.184375 0.567708 0.212500 0.218750
\ No newline at end of file
+8 0.232813 0.777083 0.143750 0.137500
\ No newline at end of file
diff --git a/dataset/labels/train/train_0070.txt b/dataset/labels/train/train_0070.txt
index d447267..ed60afe 100644
--- a/dataset/labels/train/train_0070.txt
+++ b/dataset/labels/train/train_0070.txt
@@ -1,2 +1,3 @@
-22 0.233594 0.681250 0.157812 0.187500
-2 0.547656 0.800000 0.164062 0.266667
\ No newline at end of file
+6 0.818750 0.476042 0.140625 0.185417
+19 0.497656 0.323958 0.145313 0.197917
+3 0.163281 0.679167 0.185938 0.245833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0071.txt b/dataset/labels/train/train_0071.txt
index ab496dd..f08ba85 100644
--- a/dataset/labels/train/train_0071.txt
+++ b/dataset/labels/train/train_0071.txt
@@ -1,3 +1,2 @@
-14 0.777344 0.645833 0.185938 0.212500
-24 0.377344 0.247917 0.148438 0.195833
-1 0.838281 0.482292 0.192188 0.256250
\ No newline at end of file
+0 0.309375 0.744792 0.137500 0.197917
+14 0.651563 0.608333 0.150000 0.225000
\ No newline at end of file
diff --git a/dataset/labels/train/train_0072.txt b/dataset/labels/train/train_0072.txt
index 83a7e7e..22db57e 100644
--- a/dataset/labels/train/train_0072.txt
+++ b/dataset/labels/train/train_0072.txt
@@ -1,3 +1,3 @@
-12 0.666406 0.446875 0.148438 0.243750
-15 0.603906 0.622917 0.129688 0.320833
-9 0.220312 0.608333 0.153125 0.275000
\ No newline at end of file
+10 0.444531 0.856250 0.104688 0.137500
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+7 0.236719 0.454167 0.173437 0.141667
\ No newline at end of file
diff --git a/dataset/labels/train/train_0073.txt b/dataset/labels/train/train_0073.txt
index 037fef8..3113fe1 100644
--- a/dataset/labels/train/train_0073.txt
+++ b/dataset/labels/train/train_0073.txt
@@ -1 +1 @@
-24 0.478125 0.665625 0.190625 0.239583
\ No newline at end of file
+9 0.426563 0.785417 0.125000 0.208333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0074.txt b/dataset/labels/train/train_0074.txt
index 0fd73ce..f57c3df 100644
--- a/dataset/labels/train/train_0074.txt
+++ b/dataset/labels/train/train_0074.txt
@@ -1,3 +1,3 @@
-1 0.560156 0.198958 0.189062 0.252083
-3 0.739844 0.592708 0.207813 0.264583
-5 0.153906 0.482292 0.170313 0.306250
\ No newline at end of file
+6 0.171875 0.245833 0.206250 0.275000
+27 0.521875 0.306250 0.153125 0.225000
+25 0.147656 0.719792 0.167187 0.235417
\ No newline at end of file
diff --git a/dataset/labels/train/train_0075.txt b/dataset/labels/train/train_0075.txt
index 6bb0dbe..d1e44c7 100644
--- a/dataset/labels/train/train_0075.txt
+++ b/dataset/labels/train/train_0075.txt
@@ -1 +1,2 @@
-18 0.771094 0.773958 0.173437 0.252083
\ No newline at end of file
+15 0.323437 0.244792 0.228125 0.214583
+20 0.775781 0.693750 0.179688 0.208333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0076.txt b/dataset/labels/train/train_0076.txt
index 0205552..5a87c04 100644
--- a/dataset/labels/train/train_0076.txt
+++ b/dataset/labels/train/train_0076.txt
@@ -1,2 +1,3 @@
-1 0.800781 0.398958 0.257812 0.418750
-6 0.767969 0.759375 0.198437 0.264583
\ No newline at end of file
+6 0.778906 0.663542 0.192188 0.256250
+23 0.409375 0.755208 0.162500 0.214583
+18 0.858594 0.331250 0.139063 0.220833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0077.txt b/dataset/labels/train/train_0077.txt
index 2a4ac33..55ff15c 100644
--- a/dataset/labels/train/train_0077.txt
+++ b/dataset/labels/train/train_0077.txt
@@ -1,3 +1 @@
-25 0.492188 0.210417 0.187500 0.270833
-16 0.408594 0.785417 0.167187 0.200000
-0 0.596875 0.738542 0.231250 0.260417
\ No newline at end of file
+7 0.630469 0.534375 0.135937 0.106250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0078.txt b/dataset/labels/train/train_0078.txt
index 88b199c..22e4c77 100644
--- a/dataset/labels/train/train_0078.txt
+++ b/dataset/labels/train/train_0078.txt
@@ -1,3 +1,2 @@
-7 0.628125 0.581250 0.087500 0.183333
-9 0.714063 0.807292 0.118750 0.172917
-9 0.361719 0.364583 0.189062 0.233333
\ No newline at end of file
+0 0.296875 0.600000 0.165625 0.241667
+20 0.454688 0.326042 0.215625 0.243750
\ No newline at end of file
diff --git a/dataset/labels/train/train_0079.txt b/dataset/labels/train/train_0079.txt
index 7f2132e..edcf0cc 100644
--- a/dataset/labels/train/train_0079.txt
+++ b/dataset/labels/train/train_0079.txt
@@ -1,2 +1 @@
-7 0.138281 0.856250 0.157812 0.129167
-11 0.310937 0.329167 0.215625 0.195833
\ No newline at end of file
+25 0.725781 0.463542 0.182812 0.227083
\ No newline at end of file
diff --git a/dataset/labels/train/train_0080.txt b/dataset/labels/train/train_0080.txt
index 78805e1..3c92142 100644
--- a/dataset/labels/train/train_0080.txt
+++ b/dataset/labels/train/train_0080.txt
@@ -1 +1,3 @@
-25 0.605469 0.465625 0.154688 0.231250
\ No newline at end of file
+16 0.789062 0.297917 0.084375 0.166667
+23 0.254688 0.167708 0.150000 0.189583
+22 0.554688 0.637500 0.137500 0.204167
\ No newline at end of file
diff --git a/dataset/labels/train/train_0081.txt b/dataset/labels/train/train_0081.txt
index d81f8c0..764a7e1 100644
--- a/dataset/labels/train/train_0081.txt
+++ b/dataset/labels/train/train_0081.txt
@@ -1,2 +1 @@
-14 0.455469 0.635417 0.139063 0.225000
-16 0.837500 0.238542 0.115625 0.172917
\ No newline at end of file
+15 0.578906 0.777083 0.139063 0.175000
\ No newline at end of file
diff --git a/dataset/labels/train/train_0082.txt b/dataset/labels/train/train_0082.txt
index dd79fa7..d34204f 100644
--- a/dataset/labels/train/train_0082.txt
+++ b/dataset/labels/train/train_0082.txt
@@ -1 +1,3 @@
-21 0.767188 0.610417 0.131250 0.241667
\ No newline at end of file
+14 0.861719 0.265625 0.135937 0.218750
+4 0.282031 0.612500 0.073438 0.225000
+12 0.421094 0.361458 0.251563 0.231250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0083.txt b/dataset/labels/train/train_0083.txt
index 57bc64c..7f1665b 100644
--- a/dataset/labels/train/train_0083.txt
+++ b/dataset/labels/train/train_0083.txt
@@ -1 +1 @@
-8 0.749219 0.703125 0.104688 0.156250
\ No newline at end of file
+25 0.709375 0.603125 0.212500 0.252083
\ No newline at end of file
diff --git a/dataset/labels/train/train_0084.txt b/dataset/labels/train/train_0084.txt
index 28f490d..53d5b1b 100644
--- a/dataset/labels/train/train_0084.txt
+++ b/dataset/labels/train/train_0084.txt
@@ -1,2 +1 @@
-7 0.435937 0.710417 0.203125 0.166667
-0 0.224219 0.753125 0.198437 0.235417
\ No newline at end of file
+7 0.683594 0.434375 0.160938 0.131250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0085.txt b/dataset/labels/train/train_0085.txt
index fc1ba9b..52b3c85 100644
--- a/dataset/labels/train/train_0085.txt
+++ b/dataset/labels/train/train_0085.txt
@@ -1 +1,3 @@
-21 0.554688 0.194792 0.165625 0.160417
\ No newline at end of file
+8 0.350781 0.462500 0.126562 0.104167
+16 0.166406 0.776042 0.139063 0.231250
+23 0.832031 0.190625 0.142187 0.210417
\ No newline at end of file
diff --git a/dataset/labels/train/train_0086.txt b/dataset/labels/train/train_0086.txt
index e98a0c1..8d361f8 100644
--- a/dataset/labels/train/train_0086.txt
+++ b/dataset/labels/train/train_0086.txt
@@ -1,2 +1 @@
-8 0.782031 0.384375 0.092188 0.147917
-4 0.383594 0.804167 0.151562 0.083333
\ No newline at end of file
+23 0.335156 0.768750 0.160938 0.245833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0087.txt b/dataset/labels/train/train_0087.txt
index 9bea74c..558ae8c 100644
--- a/dataset/labels/train/train_0087.txt
+++ b/dataset/labels/train/train_0087.txt
@@ -1,2 +1,3 @@
-9 0.339062 0.475000 0.121875 0.204167
-17 0.667188 0.742708 0.184375 0.168750
\ No newline at end of file
+4 0.291406 0.808333 0.098437 0.183333
+23 0.835938 0.253125 0.159375 0.214583
+25 0.511719 0.802083 0.201563 0.241667
\ No newline at end of file
diff --git a/dataset/labels/train/train_0088.txt b/dataset/labels/train/train_0088.txt
index 27f2b3d..5f0a0b7 100644
--- a/dataset/labels/train/train_0088.txt
+++ b/dataset/labels/train/train_0088.txt
@@ -1,3 +1,2 @@
-22 0.773438 0.164583 0.137500 0.187500
-12 0.536719 0.467708 0.167187 0.235417
-17 0.675781 0.613542 0.101562 0.293750
\ No newline at end of file
+12 0.123438 0.747917 0.140625 0.275000
+23 0.324219 0.550000 0.214062 0.266667
\ No newline at end of file
diff --git a/dataset/labels/train/train_0089.txt b/dataset/labels/train/train_0089.txt
index 496f118..9ca065a 100644
--- a/dataset/labels/train/train_0089.txt
+++ b/dataset/labels/train/train_0089.txt
@@ -1 +1 @@
-27 0.229687 0.691667 0.171875 0.250000
\ No newline at end of file
+23 0.417187 0.668750 0.221875 0.258333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0090.txt b/dataset/labels/train/train_0090.txt
index b84a862..219b294 100644
--- a/dataset/labels/train/train_0090.txt
+++ b/dataset/labels/train/train_0090.txt
@@ -1 +1,2 @@
-10 0.158594 0.804167 0.107813 0.154167
\ No newline at end of file
+19 0.816406 0.329167 0.207813 0.237500
+23 0.213281 0.226042 0.151562 0.181250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0091.txt b/dataset/labels/train/train_0091.txt
index 123c158..b93222e 100644
--- a/dataset/labels/train/train_0091.txt
+++ b/dataset/labels/train/train_0091.txt
@@ -1 +1 @@
-25 0.741406 0.689583 0.157812 0.204167
\ No newline at end of file
+4 0.538281 0.236458 0.210938 0.202083
\ No newline at end of file
diff --git a/dataset/labels/train/train_0092.txt b/dataset/labels/train/train_0092.txt
index f3afeea..d7681f7 100644
--- a/dataset/labels/train/train_0092.txt
+++ b/dataset/labels/train/train_0092.txt
@@ -1,3 +1,3 @@
-3 0.293750 0.738542 0.121875 0.252083
-14 0.847656 0.482292 0.139063 0.160417
-7 0.230469 0.422917 0.139063 0.216667
\ No newline at end of file
+3 0.309375 0.663542 0.193750 0.206250
+4 0.219531 0.481250 0.117188 0.241667
+19 0.767969 0.596875 0.173437 0.197917
\ No newline at end of file
diff --git a/dataset/labels/train/train_0093.txt b/dataset/labels/train/train_0093.txt
index 17d47bd..8a2d792 100644
--- a/dataset/labels/train/train_0093.txt
+++ b/dataset/labels/train/train_0093.txt
@@ -1,3 +1,2 @@
-4 0.607031 0.460417 0.092188 0.233333
-22 0.817187 0.395833 0.200000 0.237500
-20 0.452344 0.651042 0.157812 0.214583
\ No newline at end of file
+14 0.732031 0.529167 0.157812 0.258333
+6 0.737500 0.256250 0.212500 0.283333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0094.txt b/dataset/labels/train/train_0094.txt
index b1c358b..75618de 100644
--- a/dataset/labels/train/train_0094.txt
+++ b/dataset/labels/train/train_0094.txt
@@ -1,2 +1,3 @@
-24 0.843750 0.234375 0.187500 0.272917
-17 0.268750 0.643750 0.103125 0.225000
\ No newline at end of file
+7 0.571094 0.653125 0.223438 0.181250
+20 0.196094 0.786458 0.176563 0.260417
+12 0.200781 0.443750 0.154688 0.141667
\ No newline at end of file
diff --git a/dataset/labels/train/train_0095.txt b/dataset/labels/train/train_0095.txt
index a78de0f..28a495d 100644
--- a/dataset/labels/train/train_0095.txt
+++ b/dataset/labels/train/train_0095.txt
@@ -1,3 +1 @@
-14 0.678125 0.347917 0.153125 0.170833
-18 0.246875 0.694792 0.184375 0.252083
-1 0.533594 0.337500 0.201563 0.245833
\ No newline at end of file
+26 0.209375 0.372917 0.265625 0.191667
\ No newline at end of file
diff --git a/dataset/labels/train/train_0096.txt b/dataset/labels/train/train_0096.txt
index 27d509c..6d1c3f2 100644
--- a/dataset/labels/train/train_0096.txt
+++ b/dataset/labels/train/train_0096.txt
@@ -1,3 +1,3 @@
-22 0.573438 0.415625 0.221875 0.293750
-26 0.745313 0.783333 0.175000 0.091667
-20 0.499219 0.833333 0.151562 0.175000
\ No newline at end of file
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+6 0.338281 0.640625 0.189062 0.252083
+23 0.444531 0.423958 0.201563 0.281250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0097.txt b/dataset/labels/train/train_0097.txt
index c5703b6..910cc70 100644
--- a/dataset/labels/train/train_0097.txt
+++ b/dataset/labels/train/train_0097.txt
@@ -1 +1,2 @@
-14 0.422656 0.826042 0.132812 0.185417
\ No newline at end of file
+8 0.144531 0.484375 0.107813 0.243750
+7 0.707812 0.451042 0.121875 0.185417
\ No newline at end of file
diff --git a/dataset/labels/train/train_0098.txt b/dataset/labels/train/train_0098.txt
index ff10b1c..2abe0b5 100644
--- a/dataset/labels/train/train_0098.txt
+++ b/dataset/labels/train/train_0098.txt
@@ -1,3 +1,2 @@
-24 0.292969 0.580208 0.160938 0.197917
-0 0.615625 0.401042 0.162500 0.252083
-0 0.713281 0.672917 0.182812 0.204167
\ No newline at end of file
+3 0.314063 0.414583 0.081250 0.250000
+25 0.625000 0.569792 0.159375 0.231250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0099.txt b/dataset/labels/train/train_0099.txt
index b25e813..e5ee393 100644
--- a/dataset/labels/train/train_0099.txt
+++ b/dataset/labels/train/train_0099.txt
@@ -1 +1,2 @@
-24 0.707031 0.506250 0.160938 0.204167
\ No newline at end of file
+25 0.776563 0.220833 0.171875 0.212500
+12 0.816406 0.588542 0.185938 0.218750
\ No newline at end of file
diff --git a/dataset/labels/train/train_0100.txt b/dataset/labels/train/train_0100.txt
index 116962f..c1eee90 100644
--- a/dataset/labels/train/train_0100.txt
+++ b/dataset/labels/train/train_0100.txt
@@ -1,2 +1 @@
-20 0.734375 0.465625 0.181250 0.210417
-5 0.308594 0.426042 0.126562 0.197917
\ No newline at end of file
+10 0.418750 0.615625 0.087500 0.106250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0101.txt b/dataset/labels/train/train_0101.txt
index 342c0b5..5fe6880 100644
--- a/dataset/labels/train/train_0101.txt
+++ b/dataset/labels/train/train_0101.txt
@@ -1 +1 @@
-14 0.747656 0.663542 0.179688 0.197917
\ No newline at end of file
+24 0.575000 0.285417 0.165625 0.225000
\ No newline at end of file
diff --git a/dataset/labels/train/train_0102.txt b/dataset/labels/train/train_0102.txt
index 897862f..9cccb1a 100644
--- a/dataset/labels/train/train_0102.txt
+++ b/dataset/labels/train/train_0102.txt
@@ -1,3 +1,2 @@
-19 0.216406 0.513542 0.164062 0.185417
-22 0.282031 0.319792 0.207813 0.302083
-5 0.517969 0.797917 0.160938 0.241667
\ No newline at end of file
+5 0.696875 0.439583 0.165625 0.154167
+17 0.792188 0.586458 0.240625 0.089583
\ No newline at end of file
diff --git a/dataset/labels/train/train_0103.txt b/dataset/labels/train/train_0103.txt
index 4c2c69b..3190fc6 100644
--- a/dataset/labels/train/train_0103.txt
+++ b/dataset/labels/train/train_0103.txt
@@ -1,2 +1,3 @@
-12 0.583594 0.519792 0.245312 0.222917
-17 0.512500 0.691667 0.096875 0.245833
\ No newline at end of file
+11 0.349219 0.402083 0.107813 0.195833
+2 0.725781 0.550000 0.223438 0.270833
+3 0.798438 0.351042 0.243750 0.168750
\ No newline at end of file
diff --git a/dataset/labels/train/train_0104.txt b/dataset/labels/train/train_0104.txt
index c8f54b7..9144b68 100644
--- a/dataset/labels/train/train_0104.txt
+++ b/dataset/labels/train/train_0104.txt
@@ -1 +1 @@
-1 0.579688 0.568750 0.237500 0.320833
\ No newline at end of file
+21 0.287500 0.440625 0.187500 0.314583
\ No newline at end of file
diff --git a/dataset/labels/train/train_0105.txt b/dataset/labels/train/train_0105.txt
index 888a5a1..1d8c522 100644
--- a/dataset/labels/train/train_0105.txt
+++ b/dataset/labels/train/train_0105.txt
@@ -1 +1,3 @@
-4 0.181250 0.633333 0.125000 0.275000
\ No newline at end of file
+24 0.700781 0.720833 0.176563 0.262500
+1 0.207813 0.439583 0.175000 0.233333
+0 0.712500 0.386458 0.153125 0.177083
\ No newline at end of file
diff --git a/dataset/labels/train/train_0106.txt b/dataset/labels/train/train_0106.txt
index 8a7b0e6..f8ef146 100644
--- a/dataset/labels/train/train_0106.txt
+++ b/dataset/labels/train/train_0106.txt
@@ -1,2 +1 @@
-11 0.741406 0.246875 0.135937 0.156250
-11 0.832812 0.696875 0.140625 0.193750
\ No newline at end of file
+24 0.731250 0.600000 0.131250 0.191667
\ No newline at end of file
diff --git a/dataset/labels/train/train_0107.txt b/dataset/labels/train/train_0107.txt
index 5239e12..6ba7704 100644
--- a/dataset/labels/train/train_0107.txt
+++ b/dataset/labels/train/train_0107.txt
@@ -1,3 +1 @@
-10 0.599219 0.743750 0.107813 0.150000
-7 0.249219 0.406250 0.145313 0.141667
-6 0.297656 0.253125 0.192188 0.256250
\ No newline at end of file
+12 0.755469 0.418750 0.167187 0.320833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0108.txt b/dataset/labels/train/train_0108.txt
index a7f680e..9fdb6cc 100644
--- a/dataset/labels/train/train_0108.txt
+++ b/dataset/labels/train/train_0108.txt
@@ -1,3 +1,3 @@
-15 0.807813 0.562500 0.243750 0.100000
-25 0.432812 0.239583 0.140625 0.166667
-5 0.229687 0.260417 0.184375 0.208333
\ No newline at end of file
+1 0.782813 0.385417 0.231250 0.354167
+1 0.369531 0.578125 0.235937 0.322917
+15 0.234375 0.404167 0.118750 0.216667
\ No newline at end of file
diff --git a/dataset/labels/train/train_0109.txt b/dataset/labels/train/train_0109.txt
index d1570a9..0d471a8 100644
--- a/dataset/labels/train/train_0109.txt
+++ b/dataset/labels/train/train_0109.txt
@@ -1,3 +1,2 @@
-16 0.827344 0.384375 0.135937 0.152083
-19 0.743750 0.262500 0.146875 0.170833
-11 0.640625 0.522917 0.203125 0.187500
\ No newline at end of file
+26 0.416406 0.447917 0.126562 0.216667
+14 0.162500 0.405208 0.168750 0.181250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0110.txt b/dataset/labels/train/train_0110.txt
index e7fd336..64d715b 100644
--- a/dataset/labels/train/train_0110.txt
+++ b/dataset/labels/train/train_0110.txt
@@ -1,3 +1,2 @@
-24 0.844531 0.496875 0.173437 0.243750
-3 0.589844 0.216667 0.135937 0.295833
-7 0.192188 0.820833 0.121875 0.208333
\ No newline at end of file
+23 0.371094 0.238542 0.164062 0.239583
+17 0.454688 0.839583 0.168750 0.137500
\ No newline at end of file
diff --git a/dataset/labels/train/train_0111.txt b/dataset/labels/train/train_0111.txt
index 3479b41..314ca21 100644
--- a/dataset/labels/train/train_0111.txt
+++ b/dataset/labels/train/train_0111.txt
@@ -1 +1,3 @@
-5 0.660156 0.311458 0.176563 0.197917
\ No newline at end of file
+18 0.611719 0.684375 0.185938 0.302083
+0 0.325000 0.537500 0.209375 0.229167
+13 0.660937 0.258333 0.215625 0.241667
\ No newline at end of file
diff --git a/dataset/labels/train/train_0112.txt b/dataset/labels/train/train_0112.txt
index d441c50..4234ce1 100644
--- a/dataset/labels/train/train_0112.txt
+++ b/dataset/labels/train/train_0112.txt
@@ -1,3 +1,2 @@
-0 0.558594 0.273958 0.239063 0.272917
-21 0.848437 0.671875 0.118750 0.193750
-15 0.824219 0.259375 0.217188 0.097917
\ No newline at end of file
+27 0.550000 0.407292 0.184375 0.222917
+3 0.811719 0.410417 0.123438 0.283333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0113.txt b/dataset/labels/train/train_0113.txt
index 25bf8ba..533bd7d 100644
--- a/dataset/labels/train/train_0113.txt
+++ b/dataset/labels/train/train_0113.txt
@@ -1 +1 @@
-4 0.518750 0.730208 0.156250 0.272917
\ No newline at end of file
+18 0.434375 0.385417 0.200000 0.245833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0114.txt b/dataset/labels/train/train_0114.txt
index 3977b50..1feaccb 100644
--- a/dataset/labels/train/train_0114.txt
+++ b/dataset/labels/train/train_0114.txt
@@ -1,2 +1,2 @@
-9 0.653125 0.465625 0.112500 0.189583
-27 0.203906 0.338542 0.189062 0.264583
\ No newline at end of file
+18 0.298438 0.253125 0.156250 0.168750
+7 0.832031 0.267708 0.114062 0.247917
\ No newline at end of file
diff --git a/dataset/labels/train/train_0115.txt b/dataset/labels/train/train_0115.txt
index a5d5d66..0b28e7d 100644
--- a/dataset/labels/train/train_0115.txt
+++ b/dataset/labels/train/train_0115.txt
@@ -1,2 +1 @@
-1 0.702344 0.555208 0.192188 0.297917
-21 0.333594 0.467708 0.198437 0.218750
\ No newline at end of file
+14 0.285938 0.633333 0.190625 0.312500
\ No newline at end of file
diff --git a/dataset/labels/train/train_0116.txt b/dataset/labels/train/train_0116.txt
index 80bce0a..095e87f 100644
--- a/dataset/labels/train/train_0116.txt
+++ b/dataset/labels/train/train_0116.txt
@@ -1,2 +1 @@
-4 0.840625 0.212500 0.221875 0.154167
-5 0.823438 0.456250 0.168750 0.158333
\ No newline at end of file
+14 0.696094 0.318750 0.176563 0.283333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0117.txt b/dataset/labels/train/train_0117.txt
index ae9157d..196f9e5 100644
--- a/dataset/labels/train/train_0117.txt
+++ b/dataset/labels/train/train_0117.txt
@@ -1,3 +1,2 @@
-18 0.366406 0.429167 0.210938 0.237500
-14 0.153125 0.431250 0.150000 0.166667
-23 0.823438 0.815625 0.156250 0.214583
\ No newline at end of file
+10 0.726562 0.164583 0.125000 0.150000
+21 0.271094 0.350000 0.148438 0.220833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0118.txt b/dataset/labels/train/train_0118.txt
index 62e6ed3..cec65a0 100644
--- a/dataset/labels/train/train_0118.txt
+++ b/dataset/labels/train/train_0118.txt
@@ -1,2 +1,2 @@
-22 0.861719 0.296875 0.176563 0.243750
-14 0.280469 0.442708 0.154688 0.168750
\ No newline at end of file
+12 0.311719 0.508333 0.160938 0.316667
+8 0.694531 0.683333 0.110937 0.183333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0119.txt b/dataset/labels/train/train_0119.txt
index d67f374..4eeab0a 100644
--- a/dataset/labels/train/train_0119.txt
+++ b/dataset/labels/train/train_0119.txt
@@ -1 +1,3 @@
-19 0.396875 0.586458 0.125000 0.168750
\ No newline at end of file
+17 0.478125 0.302083 0.090625 0.300000
+6 0.281250 0.187500 0.159375 0.212500
+27 0.371094 0.496875 0.185938 0.272917
\ No newline at end of file
diff --git a/dataset/labels/train/train_0120.txt b/dataset/labels/train/train_0120.txt
index 2d66ad5..8306ce8 100644
--- a/dataset/labels/train/train_0120.txt
+++ b/dataset/labels/train/train_0120.txt
@@ -1 +1,2 @@
-7 0.379688 0.294792 0.134375 0.293750
\ No newline at end of file
+23 0.714844 0.505208 0.142187 0.189583
+21 0.349219 0.752083 0.170313 0.295833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0121.txt b/dataset/labels/train/train_0121.txt
index 24e5e73..84e14f4 100644
--- a/dataset/labels/train/train_0121.txt
+++ b/dataset/labels/train/train_0121.txt
@@ -1,3 +1,3 @@
-13 0.511719 0.202083 0.179688 0.275000
-11 0.625000 0.594792 0.153125 0.268750
-21 0.706250 0.239583 0.193750 0.204167
\ No newline at end of file
+24 0.682813 0.235417 0.212500 0.283333
+7 0.881250 0.447917 0.134375 0.125000
+22 0.237500 0.592708 0.156250 0.235417
\ No newline at end of file
diff --git a/dataset/labels/train/train_0122.txt b/dataset/labels/train/train_0122.txt
index e3d79a5..24cf3b1 100644
--- a/dataset/labels/train/train_0122.txt
+++ b/dataset/labels/train/train_0122.txt
@@ -1 +1 @@
-19 0.259375 0.313542 0.181250 0.289583
\ No newline at end of file
+22 0.561719 0.550000 0.142187 0.191667
\ No newline at end of file
diff --git a/dataset/labels/train/train_0123.txt b/dataset/labels/train/train_0123.txt
index cee530f..70e8d6b 100644
--- a/dataset/labels/train/train_0123.txt
+++ b/dataset/labels/train/train_0123.txt
@@ -1,2 +1,2 @@
-23 0.378125 0.440625 0.146875 0.222917
-5 0.462500 0.641667 0.168750 0.179167
\ No newline at end of file
+14 0.252344 0.497917 0.207813 0.266667
+2 0.659375 0.450000 0.190625 0.308333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0124.txt b/dataset/labels/train/train_0124.txt
index 8d3fa50..90597bd 100644
--- a/dataset/labels/train/train_0124.txt
+++ b/dataset/labels/train/train_0124.txt
@@ -1 +1,3 @@
-4 0.240625 0.756250 0.137500 0.300000
\ No newline at end of file
+9 0.660937 0.222917 0.131250 0.179167
+26 0.256250 0.357292 0.146875 0.214583
+1 0.628125 0.491667 0.184375 0.245833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0125.txt b/dataset/labels/train/train_0125.txt
index 695b0a5..2787ea8 100644
--- a/dataset/labels/train/train_0125.txt
+++ b/dataset/labels/train/train_0125.txt
@@ -1,2 +1,2 @@
-21 0.192969 0.807292 0.160938 0.177083
-0 0.311719 0.514583 0.242188 0.262500
\ No newline at end of file
+27 0.321875 0.582292 0.203125 0.256250
+18 0.780469 0.608333 0.179688 0.204167
\ No newline at end of file
diff --git a/dataset/labels/train/train_0126.txt b/dataset/labels/train/train_0126.txt
index b79a45c..e3f6f0d 100644
--- a/dataset/labels/train/train_0126.txt
+++ b/dataset/labels/train/train_0126.txt
@@ -1,3 +1,3 @@
-14 0.215625 0.585417 0.171875 0.183333
-17 0.454688 0.287500 0.209375 0.120833
-11 0.209375 0.421875 0.237500 0.218750
\ No newline at end of file
+5 0.644531 0.698958 0.176563 0.243750
+0 0.245312 0.193750 0.221875 0.258333
+12 0.428906 0.305208 0.142187 0.277083
\ No newline at end of file
diff --git a/dataset/labels/train/train_0127.txt b/dataset/labels/train/train_0127.txt
index cf0379a..b6b5b2c 100644
--- a/dataset/labels/train/train_0127.txt
+++ b/dataset/labels/train/train_0127.txt
@@ -1,2 +1,2 @@
-1 0.682031 0.355208 0.251563 0.335417
-9 0.671875 0.196875 0.140625 0.139583
\ No newline at end of file
+0 0.735938 0.772917 0.212500 0.233333
+24 0.516406 0.688542 0.179688 0.239583
\ No newline at end of file
diff --git a/dataset/labels/train/train_0128.txt b/dataset/labels/train/train_0128.txt
index bccc7fc..ff9c71f 100644
--- a/dataset/labels/train/train_0128.txt
+++ b/dataset/labels/train/train_0128.txt
@@ -1 +1,2 @@
-10 0.626563 0.777083 0.106250 0.137500
\ No newline at end of file
+7 0.135937 0.169792 0.178125 0.177083
+23 0.196875 0.411458 0.175000 0.235417
\ No newline at end of file
diff --git a/dataset/labels/train/train_0129.txt b/dataset/labels/train/train_0129.txt
index a437f16..941a7e2 100644
--- a/dataset/labels/train/train_0129.txt
+++ b/dataset/labels/train/train_0129.txt
@@ -1 +1,2 @@
-5 0.282031 0.717708 0.267188 0.247917
\ No newline at end of file
+17 0.778906 0.255208 0.064062 0.302083
+10 0.482031 0.621875 0.104688 0.152083
\ No newline at end of file
diff --git a/dataset/labels/train/train_0130.txt b/dataset/labels/train/train_0130.txt
index e4758b5..9b62b18 100644
--- a/dataset/labels/train/train_0130.txt
+++ b/dataset/labels/train/train_0130.txt
@@ -1,3 +1,3 @@
-5 0.706250 0.706250 0.246875 0.279167
-4 0.865625 0.569792 0.090625 0.243750
-6 0.247656 0.628125 0.182812 0.243750
\ No newline at end of file
+25 0.496875 0.597917 0.137500 0.191667
+25 0.662500 0.260417 0.121875 0.179167
+11 0.242969 0.756250 0.160938 0.304167
\ No newline at end of file
diff --git a/dataset/labels/train/train_0131.txt b/dataset/labels/train/train_0131.txt
index 585b574..e40cc61 100644
--- a/dataset/labels/train/train_0131.txt
+++ b/dataset/labels/train/train_0131.txt
@@ -1,3 +1,2 @@
-16 0.630469 0.418750 0.123438 0.229167
-7 0.348438 0.433333 0.128125 0.270833
-8 0.611719 0.609375 0.123438 0.206250
\ No newline at end of file
+16 0.803125 0.698958 0.121875 0.177083
+5 0.803906 0.291667 0.157812 0.254167
\ No newline at end of file
diff --git a/dataset/labels/train/train_0132.txt b/dataset/labels/train/train_0132.txt
index 64f7a18..7179a14 100644
--- a/dataset/labels/train/train_0132.txt
+++ b/dataset/labels/train/train_0132.txt
@@ -1 +1,2 @@
-13 0.278125 0.752083 0.209375 0.279167
\ No newline at end of file
+10 0.885156 0.806250 0.110937 0.133333
+12 0.303125 0.413542 0.118750 0.231250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0133.txt b/dataset/labels/train/train_0133.txt
index 3e94cd8..38ca161 100644
--- a/dataset/labels/train/train_0133.txt
+++ b/dataset/labels/train/train_0133.txt
@@ -1 +1,2 @@
-5 0.654687 0.491667 0.187500 0.283333
\ No newline at end of file
+9 0.196094 0.301042 0.101562 0.168750
+27 0.808594 0.780208 0.139063 0.189583
\ No newline at end of file
diff --git a/dataset/labels/train/train_0134.txt b/dataset/labels/train/train_0134.txt
index c68ff4f..01c5e39 100644
--- a/dataset/labels/train/train_0134.txt
+++ b/dataset/labels/train/train_0134.txt
@@ -1 +1,2 @@
-2 0.253906 0.268750 0.170313 0.208333
\ No newline at end of file
+9 0.117969 0.601042 0.126562 0.152083
+8 0.392188 0.638542 0.090625 0.193750
\ No newline at end of file
diff --git a/dataset/labels/train/train_0135.txt b/dataset/labels/train/train_0135.txt
index 80eee15..b6ff4c6 100644
--- a/dataset/labels/train/train_0135.txt
+++ b/dataset/labels/train/train_0135.txt
@@ -1 +1,2 @@
-9 0.545312 0.188542 0.231250 0.227083
\ No newline at end of file
+3 0.467187 0.390625 0.071875 0.222917
+14 0.705469 0.237500 0.123438 0.187500
\ No newline at end of file
diff --git a/dataset/labels/train/train_0136.txt b/dataset/labels/train/train_0136.txt
index 7de2450..ddbda97 100644
--- a/dataset/labels/train/train_0136.txt
+++ b/dataset/labels/train/train_0136.txt
@@ -1,2 +1,3 @@
-9 0.518750 0.572917 0.175000 0.175000
-25 0.370312 0.709375 0.184375 0.272917
\ No newline at end of file
+22 0.350000 0.487500 0.212500 0.283333
+9 0.846094 0.512500 0.151562 0.270833
+22 0.482031 0.214583 0.210938 0.295833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0137.txt b/dataset/labels/train/train_0137.txt
index 24dc69b..57aaac2 100644
--- a/dataset/labels/train/train_0137.txt
+++ b/dataset/labels/train/train_0137.txt
@@ -1,2 +1,3 @@
-7 0.369531 0.138542 0.160938 0.135417
-27 0.744531 0.226042 0.145313 0.214583
\ No newline at end of file
+21 0.609375 0.267708 0.234375 0.227083
+7 0.221094 0.309375 0.098437 0.172917
+10 0.217969 0.500000 0.110937 0.150000
\ No newline at end of file
diff --git a/dataset/labels/train/train_0138.txt b/dataset/labels/train/train_0138.txt
index a8ef181..ad01ec7 100644
--- a/dataset/labels/train/train_0138.txt
+++ b/dataset/labels/train/train_0138.txt
@@ -1,2 +1,3 @@
-7 0.811719 0.476042 0.117188 0.231250
-11 0.461719 0.648958 0.145313 0.256250
\ No newline at end of file
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+2 0.846875 0.644792 0.190625 0.210417
+4 0.835938 0.276042 0.171875 0.231250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0139.txt b/dataset/labels/train/train_0139.txt
index b49bb51..5df44ed 100644
--- a/dataset/labels/train/train_0139.txt
+++ b/dataset/labels/train/train_0139.txt
@@ -1,2 +1 @@
-12 0.600000 0.361458 0.175000 0.339583
-18 0.735938 0.690625 0.196875 0.231250
\ No newline at end of file
+18 0.829688 0.264583 0.121875 0.183333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0140.txt b/dataset/labels/train/train_0140.txt
index 54d2c65..c225b45 100644
--- a/dataset/labels/train/train_0140.txt
+++ b/dataset/labels/train/train_0140.txt
@@ -1 +1,3 @@
-13 0.314844 0.683333 0.207813 0.325000
\ No newline at end of file
+22 0.724219 0.338542 0.179688 0.239583
+25 0.467187 0.366667 0.190625 0.283333
+24 0.436719 0.639583 0.135937 0.170833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0141.txt b/dataset/labels/train/train_0141.txt
index 3854cbf..45e6bfb 100644
--- a/dataset/labels/train/train_0141.txt
+++ b/dataset/labels/train/train_0141.txt
@@ -1 +1,2 @@
-16 0.288281 0.728125 0.189062 0.222917
\ No newline at end of file
+19 0.820312 0.654167 0.165625 0.233333
+19 0.691406 0.518750 0.223438 0.245833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0142.txt b/dataset/labels/train/train_0142.txt
index 3cb74ab..5aacc92 100644
--- a/dataset/labels/train/train_0142.txt
+++ b/dataset/labels/train/train_0142.txt
@@ -1 +1 @@
-17 0.702344 0.204167 0.195312 0.112500
\ No newline at end of file
+26 0.188281 0.484375 0.167187 0.202083
\ No newline at end of file
diff --git a/dataset/labels/train/train_0143.txt b/dataset/labels/train/train_0143.txt
index 5fb3c4f..d0505b7 100644
--- a/dataset/labels/train/train_0143.txt
+++ b/dataset/labels/train/train_0143.txt
@@ -1,3 +1,2 @@
-3 0.538281 0.209375 0.179688 0.264583
-13 0.803906 0.225000 0.210938 0.241667
-24 0.644531 0.534375 0.189062 0.252083
\ No newline at end of file
+20 0.795312 0.575000 0.156250 0.241667
+5 0.797656 0.300000 0.142187 0.266667
\ No newline at end of file
diff --git a/dataset/labels/train/train_0144.txt b/dataset/labels/train/train_0144.txt
index 8568ade..4cdaa8c 100644
--- a/dataset/labels/train/train_0144.txt
+++ b/dataset/labels/train/train_0144.txt
@@ -1,3 +1,2 @@
-11 0.187500 0.521875 0.193750 0.177083
-19 0.347656 0.661458 0.192188 0.210417
-21 0.564063 0.797917 0.212500 0.245833
\ No newline at end of file
+19 0.565625 0.257292 0.218750 0.243750
+23 0.387500 0.340625 0.206250 0.293750
\ No newline at end of file
diff --git a/dataset/labels/train/train_0145.txt b/dataset/labels/train/train_0145.txt
index 4372a0d..f132349 100644
--- a/dataset/labels/train/train_0145.txt
+++ b/dataset/labels/train/train_0145.txt
@@ -1,3 +1 @@
-4 0.359375 0.389583 0.137500 0.145833
-9 0.667188 0.692708 0.162500 0.247917
-11 0.871875 0.521875 0.159375 0.285417
\ No newline at end of file
+3 0.419531 0.637500 0.260937 0.225000
\ No newline at end of file
diff --git a/dataset/labels/train/train_0146.txt b/dataset/labels/train/train_0146.txt
index 7f2032b..552d5e7 100644
--- a/dataset/labels/train/train_0146.txt
+++ b/dataset/labels/train/train_0146.txt
@@ -1 +1,2 @@
-19 0.188281 0.694792 0.123438 0.164583
\ No newline at end of file
+13 0.441406 0.281250 0.232813 0.266667
+17 0.676562 0.758333 0.159375 0.116667
\ No newline at end of file
diff --git a/dataset/labels/train/train_0147.txt b/dataset/labels/train/train_0147.txt
index fdef0d3..a61ce4b 100644
--- a/dataset/labels/train/train_0147.txt
+++ b/dataset/labels/train/train_0147.txt
@@ -1 +1 @@
-14 0.774219 0.216667 0.229687 0.245833
\ No newline at end of file
+1 0.303906 0.655208 0.245312 0.406250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0148.txt b/dataset/labels/train/train_0148.txt
index 780895e..ebc846c 100644
--- a/dataset/labels/train/train_0148.txt
+++ b/dataset/labels/train/train_0148.txt
@@ -1,3 +1 @@
-6 0.264062 0.352083 0.137500 0.183333
-17 0.537500 0.586458 0.096875 0.227083
-16 0.442969 0.177083 0.164062 0.158333
\ No newline at end of file
+19 0.588281 0.570833 0.185938 0.300000
\ No newline at end of file
diff --git a/dataset/labels/train/train_0149.txt b/dataset/labels/train/train_0149.txt
index b10380b..a7dddde 100644
--- a/dataset/labels/train/train_0149.txt
+++ b/dataset/labels/train/train_0149.txt
@@ -1,2 +1,3 @@
-24 0.702344 0.208333 0.179688 0.241667
-11 0.480469 0.323958 0.117188 0.231250
\ No newline at end of file
+0 0.295312 0.510417 0.212500 0.250000
+22 0.800000 0.631250 0.196875 0.258333
+9 0.489063 0.207292 0.103125 0.185417
\ No newline at end of file
diff --git a/dataset/labels/train/train_0150.txt b/dataset/labels/train/train_0150.txt
index 3af8972..17e59d0 100644
--- a/dataset/labels/train/train_0150.txt
+++ b/dataset/labels/train/train_0150.txt
@@ -1 +1,3 @@
-23 0.428125 0.278125 0.153125 0.222917
\ No newline at end of file
+10 0.850781 0.778125 0.123438 0.152083
+6 0.594531 0.248958 0.170313 0.227083
+15 0.553125 0.708333 0.153125 0.245833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0151.txt b/dataset/labels/train/train_0151.txt
index d4bdda7..c41f0fc 100644
--- a/dataset/labels/train/train_0151.txt
+++ b/dataset/labels/train/train_0151.txt
@@ -1,2 +1,2 @@
-18 0.586719 0.831250 0.154688 0.166667
-4 0.725000 0.730208 0.153125 0.256250
\ No newline at end of file
+9 0.595313 0.770833 0.106250 0.191667
+14 0.686719 0.644792 0.157812 0.206250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0152.txt b/dataset/labels/train/train_0152.txt
index 2303626..19c5249 100644
--- a/dataset/labels/train/train_0152.txt
+++ b/dataset/labels/train/train_0152.txt
@@ -1,3 +1,2 @@
-21 0.759375 0.461458 0.106250 0.185417
-1 0.365625 0.522917 0.225000 0.375000
-25 0.736719 0.272917 0.192188 0.283333
\ No newline at end of file
+5 0.767188 0.368750 0.190625 0.354167
+6 0.325000 0.383333 0.146875 0.195833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0153.txt b/dataset/labels/train/train_0153.txt
index 6318e71..5121dc4 100644
--- a/dataset/labels/train/train_0153.txt
+++ b/dataset/labels/train/train_0153.txt
@@ -1,3 +1,3 @@
-5 0.271094 0.229167 0.185938 0.170833
-0 0.201563 0.731250 0.146875 0.204167
-6 0.859375 0.307292 0.146875 0.197917
\ No newline at end of file
+0 0.207813 0.552083 0.184375 0.270833
+2 0.839844 0.381250 0.160938 0.233333
+6 0.533594 0.463542 0.145313 0.193750
\ No newline at end of file
diff --git a/dataset/labels/train/train_0154.txt b/dataset/labels/train/train_0154.txt
index d49d91d..e89f93d 100644
--- a/dataset/labels/train/train_0154.txt
+++ b/dataset/labels/train/train_0154.txt
@@ -1 +1,2 @@
-3 0.574219 0.188542 0.185938 0.239583
\ No newline at end of file
+8 0.637500 0.742708 0.156250 0.122917
+26 0.454688 0.517708 0.165625 0.160417
\ No newline at end of file
diff --git a/dataset/labels/train/train_0155.txt b/dataset/labels/train/train_0155.txt
index e14cb1f..056e769 100644
--- a/dataset/labels/train/train_0155.txt
+++ b/dataset/labels/train/train_0155.txt
@@ -1 +1,2 @@
-20 0.853906 0.368750 0.139063 0.183333
\ No newline at end of file
+17 0.335938 0.680208 0.128125 0.322917
+11 0.297656 0.281250 0.117188 0.154167
\ No newline at end of file
diff --git a/dataset/labels/train/train_0156.txt b/dataset/labels/train/train_0156.txt
index d0995a9..f526c7f 100644
--- a/dataset/labels/train/train_0156.txt
+++ b/dataset/labels/train/train_0156.txt
@@ -1 +1 @@
-4 0.235937 0.315625 0.140625 0.210417
\ No newline at end of file
+19 0.794531 0.175000 0.142187 0.154167
\ No newline at end of file
diff --git a/dataset/labels/train/train_0157.txt b/dataset/labels/train/train_0157.txt
index ae0747b..c88c41b 100644
--- a/dataset/labels/train/train_0157.txt
+++ b/dataset/labels/train/train_0157.txt
@@ -1 +1 @@
-15 0.405469 0.206250 0.070312 0.245833
\ No newline at end of file
+20 0.135937 0.715625 0.128125 0.197917
\ No newline at end of file
diff --git a/dataset/labels/train/train_0158.txt b/dataset/labels/train/train_0158.txt
index bbf8981..6d9fcd3 100644
--- a/dataset/labels/train/train_0158.txt
+++ b/dataset/labels/train/train_0158.txt
@@ -1 +1 @@
-18 0.881250 0.158333 0.140625 0.150000
\ No newline at end of file
+25 0.695312 0.215625 0.212500 0.256250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0159.txt b/dataset/labels/train/train_0159.txt
index 8122e19..278a16b 100644
--- a/dataset/labels/train/train_0159.txt
+++ b/dataset/labels/train/train_0159.txt
@@ -1,2 +1 @@
-9 0.776563 0.308333 0.178125 0.175000
-8 0.652344 0.209375 0.151562 0.185417
\ No newline at end of file
+11 0.776563 0.188542 0.131250 0.222917
\ No newline at end of file
diff --git a/dataset/labels/train/train_0160.txt b/dataset/labels/train/train_0160.txt
index 9c03b2a..0237e97 100644
--- a/dataset/labels/train/train_0160.txt
+++ b/dataset/labels/train/train_0160.txt
@@ -1,3 +1,3 @@
-6 0.189062 0.835417 0.131250 0.175000
-10 0.462500 0.705208 0.096875 0.118750
-12 0.128125 0.485417 0.118750 0.229167
\ No newline at end of file
+5 0.310937 0.382292 0.209375 0.193750
+23 0.706250 0.260417 0.150000 0.175000
+25 0.632031 0.571875 0.135937 0.193750
\ No newline at end of file
diff --git a/dataset/labels/train/train_0161.txt b/dataset/labels/train/train_0161.txt
index f0c5527..3103201 100644
--- a/dataset/labels/train/train_0161.txt
+++ b/dataset/labels/train/train_0161.txt
@@ -1 +1 @@
-15 0.281250 0.730208 0.112500 0.177083
\ No newline at end of file
+18 0.702344 0.331250 0.139063 0.208333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0162.txt b/dataset/labels/train/train_0162.txt
index 7aa10e6..67564b8 100644
--- a/dataset/labels/train/train_0162.txt
+++ b/dataset/labels/train/train_0162.txt
@@ -1,3 +1 @@
-22 0.367188 0.526042 0.134375 0.197917
-16 0.546094 0.414583 0.179688 0.175000
-18 0.282813 0.818750 0.193750 0.216667
\ No newline at end of file
+9 0.762500 0.211458 0.221875 0.214583
\ No newline at end of file
diff --git a/dataset/labels/train/train_0163.txt b/dataset/labels/train/train_0163.txt
index c99f3c1..021d8da 100644
--- a/dataset/labels/train/train_0163.txt
+++ b/dataset/labels/train/train_0163.txt
@@ -1,2 +1,3 @@
-7 0.869531 0.719792 0.101562 0.227083
-26 0.204687 0.262500 0.137500 0.237500
\ No newline at end of file
+22 0.721875 0.730208 0.209375 0.281250
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+13 0.520312 0.204167 0.134375 0.208333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0164.txt b/dataset/labels/train/train_0164.txt
index e03dfb4..58b85f6 100644
--- a/dataset/labels/train/train_0164.txt
+++ b/dataset/labels/train/train_0164.txt
@@ -1,2 +1,3 @@
-19 0.534375 0.252083 0.128125 0.183333
-20 0.706250 0.547917 0.206250 0.237500
\ No newline at end of file
+3 0.475000 0.376042 0.140625 0.297917
+8 0.887500 0.855208 0.084375 0.164583
+3 0.267188 0.886458 0.175000 0.102083
\ No newline at end of file
diff --git a/dataset/labels/train/train_0165.txt b/dataset/labels/train/train_0165.txt
index a48bbbf..64e4bce 100644
--- a/dataset/labels/train/train_0165.txt
+++ b/dataset/labels/train/train_0165.txt
@@ -1,2 +1,2 @@
-1 0.164844 0.675000 0.198437 0.291667
-7 0.762500 0.565625 0.087500 0.172917
\ No newline at end of file
+4 0.244531 0.504167 0.217188 0.179167
+4 0.687500 0.670833 0.118750 0.262500
\ No newline at end of file
diff --git a/dataset/labels/train/train_0166.txt b/dataset/labels/train/train_0166.txt
index 34a84a8..994780e 100644
--- a/dataset/labels/train/train_0166.txt
+++ b/dataset/labels/train/train_0166.txt
@@ -1,2 +1,2 @@
-27 0.224219 0.286458 0.210938 0.256250
-19 0.595313 0.378125 0.187500 0.268750
\ No newline at end of file
+14 0.161719 0.538542 0.179688 0.297917
+12 0.806250 0.185417 0.150000 0.141667
\ No newline at end of file
diff --git a/dataset/labels/train/train_0167.txt b/dataset/labels/train/train_0167.txt
index 6474531..d954b71 100644
--- a/dataset/labels/train/train_0167.txt
+++ b/dataset/labels/train/train_0167.txt
@@ -1,3 +1 @@
-10 0.402344 0.240625 0.095312 0.139583
-22 0.817969 0.440625 0.182812 0.260417
-23 0.832031 0.701042 0.198437 0.235417
\ No newline at end of file
+3 0.783594 0.727083 0.123438 0.225000
\ No newline at end of file
diff --git a/dataset/labels/train/train_0168.txt b/dataset/labels/train/train_0168.txt
index 384f896..d30f213 100644
--- a/dataset/labels/train/train_0168.txt
+++ b/dataset/labels/train/train_0168.txt
@@ -1 +1,2 @@
-10 0.901563 0.320833 0.093750 0.116667
\ No newline at end of file
+15 0.778125 0.234375 0.159375 0.193750
+20 0.610156 0.289583 0.170313 0.241667
\ No newline at end of file
diff --git a/dataset/labels/train/train_0169.txt b/dataset/labels/train/train_0169.txt
index aaf0332..2579fe2 100644
--- a/dataset/labels/train/train_0169.txt
+++ b/dataset/labels/train/train_0169.txt
@@ -1,3 +1,2 @@
-21 0.341406 0.703125 0.192188 0.181250
-19 0.125781 0.688542 0.129688 0.206250
-11 0.721875 0.810417 0.184375 0.179167
\ No newline at end of file
+17 0.800781 0.309375 0.229687 0.197917
+27 0.197656 0.840625 0.157812 0.193750
\ No newline at end of file
diff --git a/dataset/labels/train/train_0170.txt b/dataset/labels/train/train_0170.txt
index 19c589f..f827aa3 100644
--- a/dataset/labels/train/train_0170.txt
+++ b/dataset/labels/train/train_0170.txt
@@ -1,3 +1,2 @@
-25 0.600781 0.475000 0.173437 0.208333
-10 0.374219 0.682292 0.085938 0.106250
-17 0.708594 0.725000 0.254688 0.200000
\ No newline at end of file
+22 0.489063 0.326042 0.196875 0.289583
+5 0.771094 0.756250 0.123438 0.220833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0171.txt b/dataset/labels/train/train_0171.txt
index f10d628..64785af 100644
--- a/dataset/labels/train/train_0171.txt
+++ b/dataset/labels/train/train_0171.txt
@@ -1 +1,3 @@
-18 0.469531 0.695833 0.173437 0.275000
\ No newline at end of file
+5 0.510938 0.195833 0.184375 0.170833
+10 0.657813 0.423958 0.096875 0.114583
+11 0.203906 0.445833 0.182812 0.179167
\ No newline at end of file
diff --git a/dataset/labels/train/train_0172.txt b/dataset/labels/train/train_0172.txt
index ddfc70a..5035f39 100644
--- a/dataset/labels/train/train_0172.txt
+++ b/dataset/labels/train/train_0172.txt
@@ -1 +1 @@
-25 0.803125 0.386458 0.184375 0.231250
\ No newline at end of file
+27 0.332031 0.790625 0.139063 0.206250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0173.txt b/dataset/labels/train/train_0173.txt
index b5114fd..294d024 100644
--- a/dataset/labels/train/train_0173.txt
+++ b/dataset/labels/train/train_0173.txt
@@ -1,3 +1 @@
-12 0.634375 0.662500 0.112500 0.166667
-17 0.771875 0.208333 0.234375 0.254167
-1 0.820312 0.552083 0.253125 0.308333
\ No newline at end of file
+20 0.752344 0.283333 0.148438 0.175000
\ No newline at end of file
diff --git a/dataset/labels/train/train_0174.txt b/dataset/labels/train/train_0174.txt
index ac082c7..a496472 100644
--- a/dataset/labels/train/train_0174.txt
+++ b/dataset/labels/train/train_0174.txt
@@ -1 +1 @@
-21 0.811719 0.264583 0.164062 0.175000
\ No newline at end of file
+23 0.401562 0.239583 0.215625 0.258333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0175.txt b/dataset/labels/train/train_0175.txt
index e17efcf..91129d8 100644
--- a/dataset/labels/train/train_0175.txt
+++ b/dataset/labels/train/train_0175.txt
@@ -1 +1 @@
-26 0.482812 0.395833 0.234375 0.258333
\ No newline at end of file
+26 0.690625 0.211458 0.200000 0.164583
\ No newline at end of file
diff --git a/dataset/labels/train/train_0176.txt b/dataset/labels/train/train_0176.txt
index 067cf4e..4d0ade6 100644
--- a/dataset/labels/train/train_0176.txt
+++ b/dataset/labels/train/train_0176.txt
@@ -1,3 +1,3 @@
-23 0.165625 0.795833 0.209375 0.250000
-20 0.616406 0.673958 0.167187 0.260417
-1 0.778125 0.680208 0.225000 0.289583
\ No newline at end of file
+24 0.714844 0.720833 0.145313 0.220833
+17 0.896875 0.522917 0.100000 0.225000
+12 0.378906 0.558333 0.226562 0.208333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0177.txt b/dataset/labels/train/train_0177.txt
index 42ab06b..43a9776 100644
--- a/dataset/labels/train/train_0177.txt
+++ b/dataset/labels/train/train_0177.txt
@@ -1,2 +1,3 @@
-20 0.447656 0.547917 0.123438 0.158333
-14 0.687500 0.362500 0.115625 0.187500
\ No newline at end of file
+10 0.646094 0.144792 0.114062 0.160417
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+11 0.450781 0.429167 0.210938 0.191667
\ No newline at end of file
diff --git a/dataset/labels/train/train_0178.txt b/dataset/labels/train/train_0178.txt
index db18d40..01676c0 100644
--- a/dataset/labels/train/train_0178.txt
+++ b/dataset/labels/train/train_0178.txt
@@ -1,2 +1,2 @@
-13 0.647656 0.415625 0.220312 0.285417
-7 0.345313 0.626042 0.106250 0.172917
\ No newline at end of file
+18 0.650000 0.538542 0.128125 0.210417
+9 0.117188 0.367708 0.137500 0.135417
\ No newline at end of file
diff --git a/dataset/labels/train/train_0179.txt b/dataset/labels/train/train_0179.txt
index 0a9e42a..86fd586 100644
--- a/dataset/labels/train/train_0179.txt
+++ b/dataset/labels/train/train_0179.txt
@@ -1,2 +1,3 @@
-11 0.532031 0.178125 0.117188 0.222917
-23 0.794531 0.529167 0.167187 0.220833
\ No newline at end of file
+0 0.520312 0.216667 0.181250 0.295833
+7 0.189062 0.390625 0.193750 0.164583
+1 0.189062 0.604167 0.215625 0.295833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0180.txt b/dataset/labels/train/train_0180.txt
index aec4c7b..7204b96 100644
--- a/dataset/labels/train/train_0180.txt
+++ b/dataset/labels/train/train_0180.txt
@@ -1,3 +1,3 @@
-15 0.803906 0.286458 0.204687 0.089583
-18 0.622656 0.292708 0.139063 0.222917
-24 0.797656 0.680208 0.201563 0.277083
\ No newline at end of file
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+16 0.341406 0.285417 0.107813 0.175000
+11 0.803906 0.639583 0.114062 0.220833
\ No newline at end of file
diff --git a/dataset/labels/train/train_0181.txt b/dataset/labels/train/train_0181.txt
index fa440ca..a65b8d9 100644
--- a/dataset/labels/train/train_0181.txt
+++ b/dataset/labels/train/train_0181.txt
@@ -1,3 +1 @@
-25 0.457031 0.367708 0.195312 0.281250
-5 0.146875 0.504167 0.128125 0.245833
-15 0.278906 0.271875 0.257812 0.118750
\ No newline at end of file
+23 0.204687 0.241667 0.221875 0.266667
\ No newline at end of file
diff --git a/dataset/labels/train/train_0182.txt b/dataset/labels/train/train_0182.txt
index 5097f66..2d309c2 100644
--- a/dataset/labels/train/train_0182.txt
+++ b/dataset/labels/train/train_0182.txt
@@ -1,3 +1 @@
-27 0.339844 0.551042 0.173437 0.210417
-8 0.703906 0.726042 0.142187 0.168750
-17 0.867188 0.782292 0.153125 0.243750
\ No newline at end of file
+8 0.592187 0.314583 0.175000 0.158333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0183.txt b/dataset/labels/train/train_0183.txt
index fe68c80..e773463 100644
--- a/dataset/labels/train/train_0183.txt
+++ b/dataset/labels/train/train_0183.txt
@@ -1,3 +1 @@
-27 0.703125 0.728125 0.200000 0.268750
-23 0.294531 0.473958 0.151562 0.202083
-12 0.630469 0.267708 0.170313 0.331250
\ No newline at end of file
+3 0.162500 0.546875 0.103125 0.227083
\ No newline at end of file
diff --git a/dataset/labels/train/train_0184.txt b/dataset/labels/train/train_0184.txt
index 6c6d9e6..aa783ec 100644
--- a/dataset/labels/train/train_0184.txt
+++ b/dataset/labels/train/train_0184.txt
@@ -1,2 +1,3 @@
-5 0.487500 0.391667 0.156250 0.300000
-9 0.395313 0.725000 0.118750 0.212500
\ No newline at end of file
+14 0.617969 0.541667 0.229687 0.245833
+1 0.239844 0.273958 0.226562 0.322917
+6 0.300000 0.819792 0.178125 0.235417
\ No newline at end of file
diff --git a/dataset/labels/train/train_0185.txt b/dataset/labels/train/train_0185.txt
index d26657f..1d2fa51 100644
--- a/dataset/labels/train/train_0185.txt
+++ b/dataset/labels/train/train_0185.txt
@@ -1 +1,3 @@
-13 0.785937 0.585417 0.175000 0.237500
\ No newline at end of file
+23 0.295312 0.530208 0.190625 0.256250
+5 0.341406 0.260417 0.226562 0.212500
+6 0.874219 0.169792 0.154688 0.206250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0186.txt b/dataset/labels/train/train_0186.txt
index acec2da..4bbdfcc 100644
--- a/dataset/labels/train/train_0186.txt
+++ b/dataset/labels/train/train_0186.txt
@@ -1 +1,2 @@
-2 0.181250 0.623958 0.165625 0.185417
\ No newline at end of file
+1 0.438281 0.698958 0.220312 0.364583
+18 0.846094 0.246875 0.204687 0.231250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0187.txt b/dataset/labels/train/train_0187.txt
index a05a706..80d40c5 100644
--- a/dataset/labels/train/train_0187.txt
+++ b/dataset/labels/train/train_0187.txt
@@ -1,3 +1 @@
-22 0.314844 0.411458 0.210938 0.289583
-19 0.624219 0.695833 0.154688 0.170833
-27 0.542188 0.518750 0.171875 0.250000
\ No newline at end of file
+25 0.777344 0.355208 0.157812 0.189583
\ No newline at end of file
diff --git a/dataset/labels/train/train_0188.txt b/dataset/labels/train/train_0188.txt
index 95b375f..e69de29 100644
--- a/dataset/labels/train/train_0188.txt
+++ b/dataset/labels/train/train_0188.txt
@@ -1,2 +0,0 @@
-20 0.218750 0.592708 0.125000 0.156250
-0 0.378125 0.648958 0.134375 0.218750
\ No newline at end of file
diff --git a/dataset/labels/train/train_0189.txt b/dataset/labels/train/train_0189.txt
index eb4910f..d674345 100644
--- a/dataset/labels/train/train_0189.txt
+++ b/dataset/labels/train/train_0189.txt
@@ -1 +1 @@
-16 0.871094 0.788542 0.114062 0.185417
\ No newline at end of file
+18 0.294531 0.830208 0.164062 0.181250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0190.txt b/dataset/labels/train/train_0190.txt
index a0b7d3e..abedcb7 100644
--- a/dataset/labels/train/train_0190.txt
+++ b/dataset/labels/train/train_0190.txt
@@ -1,2 +1,2 @@
-11 0.767188 0.854167 0.171875 0.158333
-8 0.882812 0.165625 0.090625 0.164583
\ No newline at end of file
+22 0.230469 0.423958 0.148438 0.214583
+8 0.381250 0.602083 0.112500 0.237500
\ No newline at end of file
diff --git a/dataset/labels/train/train_0191.txt b/dataset/labels/train/train_0191.txt
index a88a95e..6ce9160 100644
--- a/dataset/labels/train/train_0191.txt
+++ b/dataset/labels/train/train_0191.txt
@@ -1 +1 @@
-19 0.312500 0.408333 0.162500 0.262500
\ No newline at end of file
+25 0.388281 0.421875 0.170313 0.210417
\ No newline at end of file
diff --git a/dataset/labels/train/train_0192.txt b/dataset/labels/train/train_0192.txt
index 1d09ef8..6c15f89 100644
--- a/dataset/labels/train/train_0192.txt
+++ b/dataset/labels/train/train_0192.txt
@@ -1,3 +1 @@
-5 0.755469 0.682292 0.123438 0.235417
-22 0.264844 0.587500 0.185938 0.266667
-6 0.467969 0.407292 0.207813 0.277083
\ No newline at end of file
+11 0.294531 0.676042 0.110937 0.214583
\ No newline at end of file
diff --git a/dataset/labels/train/train_0193.txt b/dataset/labels/train/train_0193.txt
index 7d88e9a..09d5e4b 100644
--- a/dataset/labels/train/train_0193.txt
+++ b/dataset/labels/train/train_0193.txt
@@ -1,3 +1 @@
-5 0.453125 0.441667 0.190625 0.195833
-0 0.334375 0.609375 0.215625 0.256250
-6 0.176563 0.483333 0.187500 0.250000
\ No newline at end of file
+12 0.167969 0.363542 0.132812 0.231250
\ No newline at end of file
diff --git a/dataset/labels/train/train_0194.txt b/dataset/labels/train/train_0194.txt
index 6d020d6..7b36080 100644
--- a/dataset/labels/train/train_0194.txt
+++ b/dataset/labels/train/train_0194.txt
@@ -1,3 +1,3 @@
-13 0.418750 0.277083 0.156250 0.187500
-26 0.236719 0.638542 0.107813 0.239583
-6 0.455469 0.550000 0.201563 0.266667
\ No newline at end of file
+3 0.599219 0.645833 0.173437 0.270833
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+26 0.178906 0.493750 0.104688 0.208333
\ No newline at end of file
diff --git a/dataset/labels/train/train_0195.txt b/dataset/labels/train/train_0195.txt
index 96bc893..874fce2 100644
--- a/dataset/labels/train/train_0195.txt
+++ b/dataset/labels/train/train_0195.txt
@@ -1,2 +1,2 @@
-3 0.574219 0.453125 0.176563 0.281250
-25 0.450781 0.791667 0.198437 0.237500
\ No newline at end of file
+11 0.283594 0.530208 0.167187 0.302083
+21 0.735156 0.296875 0.235937 0.243750
\ No newline at end of file
diff --git a/dataset/labels/train/train_0196.txt b/dataset/labels/train/train_0196.txt
index d7ff5df..ee226a3 100644
--- a/dataset/labels/train/train_0196.txt
+++ b/dataset/labels/train/train_0196.txt
@@ -1 +1,3 @@
-4 0.692969 0.736458 0.129688 0.231250
\ No newline at end of file
+26 0.417187 0.768750 0.137500 0.250000
+6 0.598437 0.450000 0.168750 0.225000
+11 0.489063 0.640625 0.106250 0.202083
\ No newline at end of file
diff --git a/dataset/labels/train/train_0197.txt b/dataset/labels/train/train_0197.txt
index 619acaa..3db56ea 100644
--- a/dataset/labels/train/train_0197.txt
+++ b/dataset/labels/train/train_0197.txt
@@ -1,3 +1,3 @@
-26 0.673438 0.818750 0.218750 0.133333
-26 0.784375 0.614583 0.068750 0.212500
-6 0.575000 0.525000 0.175000 0.233333
\ No newline at end of file
+22 0.813281 0.654167 0.139063 0.183333
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+21 0.243750 0.655208 0.112500 0.214583
\ No newline at end of file
diff --git a/dataset/labels/train/train_0198.txt b/dataset/labels/train/train_0198.txt
index 903c7ef..e30aa99 100644
--- a/dataset/labels/train/train_0198.txt
+++ b/dataset/labels/train/train_0198.txt
@@ -1,3 +1,3 @@
-8 0.184375 0.150000 0.184375 0.166667
-2 0.434375 0.640625 0.150000 0.222917
-20 0.877344 0.553125 0.123438 0.193750
\ No newline at end of file
+26 0.600781 0.726042 0.170313 0.218750
+18 0.691406 0.305208 0.204687 0.239583
+3 0.673438 0.490625 0.193750 0.118750
\ No newline at end of file
diff --git a/dataset/labels/train/train_0199.txt b/dataset/labels/train/train_0199.txt
index 9948f28..4bd02a9 100644
--- a/dataset/labels/train/train_0199.txt
+++ b/dataset/labels/train/train_0199.txt
@@ -1,2 +1,2 @@
-18 0.391406 0.548958 0.117188 0.185417
-13 0.478906 0.720833 0.167187 0.191667
\ No newline at end of file
+14 0.828125 0.823958 0.125000 0.202083
+25 0.497656 0.427083 0.189062 0.270833
\ No newline at end of file
diff --git a/dataset/labels/train/user_capture_1780003783840.txt b/dataset/labels/train/user_capture_1780003783840.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780003783840.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780003803459.txt b/dataset/labels/train/user_capture_1780003803459.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780003803459.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780003806546.txt b/dataset/labels/train/user_capture_1780003806546.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780003806546.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780003809723.txt b/dataset/labels/train/user_capture_1780003809723.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780003809723.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780003812605.txt b/dataset/labels/train/user_capture_1780003812605.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780003812605.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780003815582.txt b/dataset/labels/train/user_capture_1780003815582.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780003815582.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780003818633.txt b/dataset/labels/train/user_capture_1780003818633.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780003818633.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780003821623.txt b/dataset/labels/train/user_capture_1780003821623.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780003821623.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780003824834.txt b/dataset/labels/train/user_capture_1780003824834.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780003824834.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780003828388.txt b/dataset/labels/train/user_capture_1780003828388.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780003828388.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780003830953.txt b/dataset/labels/train/user_capture_1780003830953.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780003830953.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780003833933.txt b/dataset/labels/train/user_capture_1780003833933.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780003833933.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780003836384.txt b/dataset/labels/train/user_capture_1780003836384.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780003836384.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780003838945.txt b/dataset/labels/train/user_capture_1780003838945.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780003838945.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780003841632.txt b/dataset/labels/train/user_capture_1780003841632.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780003841632.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780004908498.txt b/dataset/labels/train/user_capture_1780004908498.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780004908498.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780007172322.txt b/dataset/labels/train/user_capture_1780007172322.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780007172322.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780007176250.txt b/dataset/labels/train/user_capture_1780007176250.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780007176250.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780007179850.txt b/dataset/labels/train/user_capture_1780007179850.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780007179850.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780007182800.txt b/dataset/labels/train/user_capture_1780007182800.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780007182800.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780007185911.txt b/dataset/labels/train/user_capture_1780007185911.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780007185911.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780007193199.txt b/dataset/labels/train/user_capture_1780007193199.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780007193199.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780007197515.txt b/dataset/labels/train/user_capture_1780007197515.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780007197515.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780007201191.txt b/dataset/labels/train/user_capture_1780007201191.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780007201191.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780007204503.txt b/dataset/labels/train/user_capture_1780007204503.txt
deleted file mode 100644
index e6f0974..0000000
--- a/dataset/labels/train/user_capture_1780007204503.txt
+++ /dev/null
@@ -1 +0,0 @@
-16 0.500000 0.500000 0.650000 0.650000
diff --git a/dataset/labels/train/user_capture_1780055835129.txt b/dataset/labels/train/user_capture_1780055835129.txt
new file mode 100644
index 0000000..d46d9f6
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055835129.txt
@@ -0,0 +1 @@
+3 0.489844 0.502083 0.689063 0.558333
diff --git a/dataset/labels/train/user_capture_1780055836157.txt b/dataset/labels/train/user_capture_1780055836157.txt
new file mode 100644
index 0000000..54b590f
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055836157.txt
@@ -0,0 +1 @@
+3 0.457813 0.444792 0.625000 0.443750
diff --git a/dataset/labels/train/user_capture_1780055839156.txt b/dataset/labels/train/user_capture_1780055839156.txt
new file mode 100644
index 0000000..7f1fe9b
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055839156.txt
@@ -0,0 +1 @@
+3 0.510156 0.726042 0.207813 0.547917
diff --git a/dataset/labels/train/user_capture_1780055841158.txt b/dataset/labels/train/user_capture_1780055841158.txt
new file mode 100644
index 0000000..7d17d79
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055841158.txt
@@ -0,0 +1 @@
+3 0.399219 0.439583 0.617188 0.370833
diff --git a/dataset/labels/train/user_capture_1780055843156.txt b/dataset/labels/train/user_capture_1780055843156.txt
new file mode 100644
index 0000000..8046443
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055843156.txt
@@ -0,0 +1 @@
+3 0.441406 0.451042 0.682813 0.489583
diff --git a/dataset/labels/train/user_capture_1780055844156.txt b/dataset/labels/train/user_capture_1780055844156.txt
new file mode 100644
index 0000000..6291f3d
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055844156.txt
@@ -0,0 +1 @@
+3 0.598437 0.329167 0.628125 0.300000
diff --git a/dataset/labels/train/user_capture_1780055865715.txt b/dataset/labels/train/user_capture_1780055865715.txt
new file mode 100644
index 0000000..2f31890
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055865715.txt
@@ -0,0 +1 @@
+3 0.410938 0.362500 0.487500 0.345833
diff --git a/dataset/labels/train/user_capture_1780055866733.txt b/dataset/labels/train/user_capture_1780055866733.txt
new file mode 100644
index 0000000..f67b0ec
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055866733.txt
@@ -0,0 +1 @@
+3 0.411719 0.329167 0.489063 0.275000
diff --git a/dataset/labels/train/user_capture_1780055868733.txt b/dataset/labels/train/user_capture_1780055868733.txt
new file mode 100644
index 0000000..6ba75e6
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055868733.txt
@@ -0,0 +1 @@
+3 0.510156 0.353125 0.510938 0.552083
diff --git a/dataset/labels/train/user_capture_1780055869735.txt b/dataset/labels/train/user_capture_1780055869735.txt
new file mode 100644
index 0000000..716824f
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055869735.txt
@@ -0,0 +1 @@
+3 0.413281 0.308333 0.545312 0.420833
diff --git a/dataset/labels/train/user_capture_1780055870733.txt b/dataset/labels/train/user_capture_1780055870733.txt
new file mode 100644
index 0000000..7214e73
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055870733.txt
@@ -0,0 +1 @@
+3 0.366406 0.183333 0.439063 0.366667
diff --git a/dataset/labels/train/user_capture_1780055871740.txt b/dataset/labels/train/user_capture_1780055871740.txt
new file mode 100644
index 0000000..58d0241
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055871740.txt
@@ -0,0 +1 @@
+3 0.365625 0.182292 0.437500 0.364583
diff --git a/dataset/labels/train/user_capture_1780055872734.txt b/dataset/labels/train/user_capture_1780055872734.txt
new file mode 100644
index 0000000..8a4e6f3
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055872734.txt
@@ -0,0 +1 @@
+3 0.366406 0.182292 0.439063 0.364583
diff --git a/dataset/labels/train/user_capture_1780055873735.txt b/dataset/labels/train/user_capture_1780055873735.txt
new file mode 100644
index 0000000..58d0241
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055873735.txt
@@ -0,0 +1 @@
+3 0.365625 0.182292 0.437500 0.364583
diff --git a/dataset/labels/train/user_capture_1780055900266.txt b/dataset/labels/train/user_capture_1780055900266.txt
new file mode 100644
index 0000000..1249426
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055900266.txt
@@ -0,0 +1 @@
+16 0.617969 0.670833 0.245312 0.391667
diff --git a/dataset/labels/train/user_capture_1780055902282.txt b/dataset/labels/train/user_capture_1780055902282.txt
new file mode 100644
index 0000000..c17068b
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055902282.txt
@@ -0,0 +1 @@
+16 0.450000 0.630208 0.262500 0.360417
diff --git a/dataset/labels/train/user_capture_1780055903284.txt b/dataset/labels/train/user_capture_1780055903284.txt
new file mode 100644
index 0000000..0083ca6
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055903284.txt
@@ -0,0 +1 @@
+16 0.439063 0.642708 0.259375 0.368750
diff --git a/dataset/labels/train/user_capture_1780055905295.txt b/dataset/labels/train/user_capture_1780055905295.txt
new file mode 100644
index 0000000..992fc43
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055905295.txt
@@ -0,0 +1 @@
+16 0.415625 0.729167 0.287500 0.312500
diff --git a/dataset/labels/train/user_capture_1780055906283.txt b/dataset/labels/train/user_capture_1780055906283.txt
new file mode 100644
index 0000000..44d0873
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055906283.txt
@@ -0,0 +1 @@
+16 0.399219 0.626042 0.282813 0.331250
diff --git a/dataset/labels/train/user_capture_1780055907283.txt b/dataset/labels/train/user_capture_1780055907283.txt
new file mode 100644
index 0000000..49a8e84
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055907283.txt
@@ -0,0 +1 @@
+16 0.401562 0.645833 0.281250 0.337500
diff --git a/dataset/labels/train/user_capture_1780055908283.txt b/dataset/labels/train/user_capture_1780055908283.txt
new file mode 100644
index 0000000..da4ffe7
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055908283.txt
@@ -0,0 +1 @@
+16 0.401562 0.645833 0.281250 0.333333
diff --git a/dataset/labels/train/user_capture_1780055909282.txt b/dataset/labels/train/user_capture_1780055909282.txt
new file mode 100644
index 0000000..4aba427
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780055909282.txt
@@ -0,0 +1 @@
+16 0.401562 0.644792 0.281250 0.335417
diff --git a/dataset/labels/train/user_capture_1780056333275.txt b/dataset/labels/train/user_capture_1780056333275.txt
new file mode 100644
index 0000000..8e1ff6a
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780056333275.txt
@@ -0,0 +1 @@
+0 0.710938 0.570833 0.290625 0.366667
diff --git a/dataset/labels/train/user_capture_1780056334293.txt b/dataset/labels/train/user_capture_1780056334293.txt
new file mode 100644
index 0000000..8e1ff6a
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780056334293.txt
@@ -0,0 +1 @@
+0 0.710938 0.570833 0.290625 0.366667
diff --git a/dataset/labels/train/user_capture_1780056337293.txt b/dataset/labels/train/user_capture_1780056337293.txt
new file mode 100644
index 0000000..1a0a3a8
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780056337293.txt
@@ -0,0 +1 @@
+0 0.641406 0.567708 0.273438 0.372917
diff --git a/dataset/labels/train/user_capture_1780056339292.txt b/dataset/labels/train/user_capture_1780056339292.txt
new file mode 100644
index 0000000..1444f5e
--- /dev/null
+++ b/dataset/labels/train/user_capture_1780056339292.txt
@@ -0,0 +1 @@
+0 0.577344 0.641667 0.273438 0.366667
diff --git a/dataset/labels/val/val_0000.txt b/dataset/labels/val/val_0000.txt
index 2bc3cfe..f5b991c 100644
--- a/dataset/labels/val/val_0000.txt
+++ b/dataset/labels/val/val_0000.txt
@@ -1 +1,3 @@
-27 0.839063 0.261458 0.140625 0.197917
\ No newline at end of file
+6 0.175000 0.464583 0.187500 0.250000
+18 0.761719 0.157292 0.120313 0.152083
+27 0.796875 0.535417 0.200000 0.262500
\ No newline at end of file
diff --git a/dataset/labels/val/val_0001.txt b/dataset/labels/val/val_0001.txt
index a1f5c45..08ac7b2 100644
--- a/dataset/labels/val/val_0001.txt
+++ b/dataset/labels/val/val_0001.txt
@@ -1 +1,3 @@
-0 0.746094 0.427083 0.207813 0.262500
\ No newline at end of file
+10 0.331250 0.760417 0.096875 0.141667
+11 0.223438 0.527083 0.165625 0.208333
+15 0.514844 0.554167 0.089063 0.308333
\ No newline at end of file
diff --git a/dataset/labels/val/val_0002.txt b/dataset/labels/val/val_0002.txt
index cd6258a..bc3ff22 100644
--- a/dataset/labels/val/val_0002.txt
+++ b/dataset/labels/val/val_0002.txt
@@ -1,2 +1 @@
-21 0.179688 0.613542 0.140625 0.277083
-16 0.817969 0.652083 0.151562 0.183333
\ No newline at end of file
+5 0.693750 0.847917 0.162500 0.154167
\ No newline at end of file
diff --git a/dataset/labels/val/val_0003.txt b/dataset/labels/val/val_0003.txt
index 327623b..319c39c 100644
--- a/dataset/labels/val/val_0003.txt
+++ b/dataset/labels/val/val_0003.txt
@@ -1,2 +1,3 @@
-15 0.740625 0.337500 0.178125 0.083333
-0 0.182031 0.525000 0.210938 0.320833
\ No newline at end of file
+20 0.455469 0.616667 0.160938 0.183333
+11 0.779687 0.487500 0.143750 0.275000
+17 0.657031 0.621875 0.120313 0.202083
\ No newline at end of file
diff --git a/dataset/labels/val/val_0004.txt b/dataset/labels/val/val_0004.txt
index 6ad255c..598bd23 100644
--- a/dataset/labels/val/val_0004.txt
+++ b/dataset/labels/val/val_0004.txt
@@ -1 +1,2 @@
-26 0.582812 0.751042 0.112500 0.343750
\ No newline at end of file
+6 0.569531 0.534375 0.148438 0.197917
+24 0.721875 0.603125 0.203125 0.277083
\ No newline at end of file
diff --git a/dataset/labels/val/val_0005.txt b/dataset/labels/val/val_0005.txt
index 9309f25..8151a5a 100644
--- a/dataset/labels/val/val_0005.txt
+++ b/dataset/labels/val/val_0005.txt
@@ -1 +1 @@
-17 0.313281 0.689583 0.176563 0.241667
\ No newline at end of file
+11 0.325781 0.220833 0.167187 0.158333
\ No newline at end of file
diff --git a/dataset/labels/val/val_0006.txt b/dataset/labels/val/val_0006.txt
index 61cf078..69a195c 100644
--- a/dataset/labels/val/val_0006.txt
+++ b/dataset/labels/val/val_0006.txt
@@ -1,2 +1,3 @@
-19 0.804688 0.643750 0.153125 0.237500
-11 0.635938 0.223958 0.218750 0.202083
\ No newline at end of file
+21 0.363281 0.650000 0.229687 0.266667
+22 0.359375 0.251042 0.190625 0.281250
+21 0.752344 0.676042 0.189062 0.197917
\ No newline at end of file
diff --git a/dataset/labels/val/val_0007.txt b/dataset/labels/val/val_0007.txt
index 4a20abf..c9ef0ea 100644
--- a/dataset/labels/val/val_0007.txt
+++ b/dataset/labels/val/val_0007.txt
@@ -1 +1,3 @@
-23 0.666406 0.457292 0.132812 0.193750
\ No newline at end of file
+17 0.776563 0.359375 0.062500 0.252083
+5 0.171875 0.327083 0.171875 0.287500
+13 0.719531 0.744792 0.142187 0.227083
\ No newline at end of file
diff --git a/dataset/labels/val/val_0008.txt b/dataset/labels/val/val_0008.txt
index ccfbdf4..c5f3710 100644
--- a/dataset/labels/val/val_0008.txt
+++ b/dataset/labels/val/val_0008.txt
@@ -1,2 +1,2 @@
-23 0.738281 0.818750 0.160938 0.200000
-16 0.403906 0.479167 0.173437 0.212500
\ No newline at end of file
+10 0.758594 0.537500 0.089063 0.116667
+12 0.539844 0.611458 0.123438 0.227083
\ No newline at end of file
diff --git a/dataset/labels/val/val_0009.txt b/dataset/labels/val/val_0009.txt
index d181618..0ec647b 100644
--- a/dataset/labels/val/val_0009.txt
+++ b/dataset/labels/val/val_0009.txt
@@ -1,2 +1 @@
-24 0.661719 0.672917 0.207813 0.270833
-21 0.142969 0.652083 0.101562 0.179167
\ No newline at end of file
+15 0.665625 0.687500 0.150000 0.104167
\ No newline at end of file
diff --git a/dataset/labels/val/val_0010.txt b/dataset/labels/val/val_0010.txt
index 5959966..591f040 100644
--- a/dataset/labels/val/val_0010.txt
+++ b/dataset/labels/val/val_0010.txt
@@ -1,3 +1,2 @@
-18 0.617969 0.529167 0.126562 0.195833
-2 0.221875 0.439583 0.196875 0.258333
-6 0.435156 0.769792 0.192188 0.256250
\ No newline at end of file
+8 0.617188 0.435417 0.134375 0.170833
+15 0.858594 0.765625 0.135937 0.131250
\ No newline at end of file
diff --git a/dataset/labels/val/val_0011.txt b/dataset/labels/val/val_0011.txt
index 7293207..ea1c644 100644
--- a/dataset/labels/val/val_0011.txt
+++ b/dataset/labels/val/val_0011.txt
@@ -1 +1 @@
-13 0.246094 0.230208 0.148438 0.193750
\ No newline at end of file
+1 0.540625 0.617708 0.168750 0.272917
\ No newline at end of file
diff --git a/dataset/labels/val/val_0012.txt b/dataset/labels/val/val_0012.txt
index fe4b502..7fda480 100644
--- a/dataset/labels/val/val_0012.txt
+++ b/dataset/labels/val/val_0012.txt
@@ -1,2 +1,2 @@
-21 0.839063 0.648958 0.218750 0.306250
-14 0.769531 0.258333 0.182812 0.204167
\ No newline at end of file
+0 0.272656 0.823958 0.135937 0.218750
+2 0.781250 0.262500 0.212500 0.237500
\ No newline at end of file
diff --git a/dataset/labels/val/val_0013.txt b/dataset/labels/val/val_0013.txt
index 072700d..d576dd1 100644
--- a/dataset/labels/val/val_0013.txt
+++ b/dataset/labels/val/val_0013.txt
@@ -1,2 +1,2 @@
-8 0.706250 0.448958 0.128125 0.106250
-2 0.444531 0.559375 0.210938 0.331250
\ No newline at end of file
+20 0.832031 0.296875 0.170313 0.231250
+4 0.689063 0.304167 0.137500 0.208333
\ No newline at end of file
diff --git a/dataset/labels/val/val_0014.txt b/dataset/labels/val/val_0014.txt
index 6f28607..6be5e22 100644
--- a/dataset/labels/val/val_0014.txt
+++ b/dataset/labels/val/val_0014.txt
@@ -1,3 +1,2 @@
-17 0.260156 0.737500 0.089063 0.354167
-24 0.689063 0.493750 0.134375 0.191667
-24 0.584375 0.777083 0.181250 0.254167
\ No newline at end of file
+26 0.326562 0.692708 0.121875 0.264583
+3 0.859375 0.767708 0.112500 0.272917
\ No newline at end of file
diff --git a/dataset/labels/val/val_0015.txt b/dataset/labels/val/val_0015.txt
index 2ba7a69..3d4e9aa 100644
--- a/dataset/labels/val/val_0015.txt
+++ b/dataset/labels/val/val_0015.txt
@@ -1,2 +1 @@
-12 0.535937 0.622917 0.196875 0.179167
-9 0.472656 0.180208 0.145313 0.231250
\ No newline at end of file
+15 0.819531 0.639583 0.185938 0.125000
\ No newline at end of file
diff --git a/dataset/labels/val/val_0016.txt b/dataset/labels/val/val_0016.txt
index d6a4015..7055781 100644
--- a/dataset/labels/val/val_0016.txt
+++ b/dataset/labels/val/val_0016.txt
@@ -1 +1,2 @@
-23 0.835938 0.352083 0.193750 0.233333
\ No newline at end of file
+11 0.356250 0.646875 0.171875 0.168750
+10 0.615625 0.669792 0.096875 0.131250
\ No newline at end of file
diff --git a/dataset/labels/val/val_0017.txt b/dataset/labels/val/val_0017.txt
index 88a528d..85d3af6 100644
--- a/dataset/labels/val/val_0017.txt
+++ b/dataset/labels/val/val_0017.txt
@@ -1,3 +1 @@
-19 0.198437 0.806250 0.137500 0.220833
-20 0.161719 0.572917 0.207813 0.237500
-10 0.692969 0.588542 0.104688 0.147917
\ No newline at end of file
+20 0.832031 0.697917 0.110937 0.145833
\ No newline at end of file
diff --git a/dataset/labels/val/val_0018.txt b/dataset/labels/val/val_0018.txt
index cf19af6..1659565 100644
--- a/dataset/labels/val/val_0018.txt
+++ b/dataset/labels/val/val_0018.txt
@@ -1,2 +1 @@
-0 0.447656 0.572917 0.204687 0.308333
-0 0.218750 0.634375 0.200000 0.222917
\ No newline at end of file
+6 0.576562 0.593750 0.146875 0.195833
\ No newline at end of file
diff --git a/dataset/labels/val/val_0019.txt b/dataset/labels/val/val_0019.txt
index d1358e2..e9f8855 100644
--- a/dataset/labels/val/val_0019.txt
+++ b/dataset/labels/val/val_0019.txt
@@ -1 +1,2 @@
-26 0.218750 0.212500 0.140625 0.237500
\ No newline at end of file
+26 0.410156 0.203125 0.257812 0.210417
+3 0.555469 0.692708 0.251563 0.202083
\ No newline at end of file
diff --git a/dataset/labels/val/val_0020.txt b/dataset/labels/val/val_0020.txt
index 708ffe4..9920c41 100644
--- a/dataset/labels/val/val_0020.txt
+++ b/dataset/labels/val/val_0020.txt
@@ -1 +1,3 @@
-12 0.308594 0.383333 0.185938 0.170833
\ No newline at end of file
+13 0.793750 0.405208 0.150000 0.235417
+14 0.307812 0.481250 0.150000 0.175000
+22 0.537500 0.697917 0.190625 0.279167
\ No newline at end of file
diff --git a/dataset/labels/val/val_0021.txt b/dataset/labels/val/val_0021.txt
index 7fae6bd..b1b6932 100644
--- a/dataset/labels/val/val_0021.txt
+++ b/dataset/labels/val/val_0021.txt
@@ -1,2 +1 @@
-27 0.161719 0.785417 0.182812 0.266667
-5 0.425781 0.789583 0.173437 0.183333
\ No newline at end of file
+12 0.642188 0.223958 0.206250 0.206250
\ No newline at end of file
diff --git a/dataset/labels/val/val_0022.txt b/dataset/labels/val/val_0022.txt
index fa06cbb..94f9749 100644
--- a/dataset/labels/val/val_0022.txt
+++ b/dataset/labels/val/val_0022.txt
@@ -1,3 +1,3 @@
-11 0.608594 0.715625 0.160938 0.306250
-7 0.554688 0.216667 0.171875 0.195833
-4 0.860156 0.587500 0.173437 0.108333
\ No newline at end of file
+2 0.167969 0.425000 0.142187 0.212500
+14 0.375000 0.677083 0.156250 0.216667
+9 0.519531 0.484375 0.107813 0.193750
\ No newline at end of file
diff --git a/dataset/labels/val/val_0023.txt b/dataset/labels/val/val_0023.txt
index ce72ad8..0a99c07 100644
--- a/dataset/labels/val/val_0023.txt
+++ b/dataset/labels/val/val_0023.txt
@@ -1,2 +1,2 @@
-22 0.634375 0.735417 0.134375 0.179167
-23 0.457031 0.771875 0.154688 0.202083
\ No newline at end of file
+11 0.858594 0.590625 0.126562 0.243750
+7 0.800000 0.236458 0.134375 0.164583
\ No newline at end of file
diff --git a/dataset/labels/val/val_0024.txt b/dataset/labels/val/val_0024.txt
index 27df534..ad80c1a 100644
--- a/dataset/labels/val/val_0024.txt
+++ b/dataset/labels/val/val_0024.txt
@@ -1,2 +1,2 @@
-2 0.221875 0.685417 0.184375 0.287500
-8 0.599219 0.251042 0.176563 0.135417
\ No newline at end of file
+18 0.717187 0.702083 0.159375 0.179167
+24 0.162500 0.615625 0.190625 0.285417
\ No newline at end of file
diff --git a/dataset/labels/val/val_0025.txt b/dataset/labels/val/val_0025.txt
index 787c496..44a68c4 100644
--- a/dataset/labels/val/val_0025.txt
+++ b/dataset/labels/val/val_0025.txt
@@ -1 +1,3 @@
-9 0.250781 0.379167 0.160938 0.175000
\ No newline at end of file
+12 0.645312 0.469792 0.184375 0.168750
+19 0.145313 0.220833 0.118750 0.175000
+10 0.104688 0.619792 0.075000 0.106250
\ No newline at end of file
diff --git a/dataset/labels/val/val_0026.txt b/dataset/labels/val/val_0026.txt
index 40aefa1..3db8e58 100644
--- a/dataset/labels/val/val_0026.txt
+++ b/dataset/labels/val/val_0026.txt
@@ -1,2 +1,3 @@
-7 0.128125 0.308333 0.146875 0.120833
-14 0.268750 0.432292 0.156250 0.210417
\ No newline at end of file
+25 0.134375 0.718750 0.162500 0.241667
+18 0.412500 0.402083 0.134375 0.220833
+5 0.778906 0.688542 0.232813 0.235417
\ No newline at end of file
diff --git a/dataset/labels/val/val_0027.txt b/dataset/labels/val/val_0027.txt
index 85c0302..bba1486 100644
--- a/dataset/labels/val/val_0027.txt
+++ b/dataset/labels/val/val_0027.txt
@@ -1,3 +1,3 @@
-26 0.715625 0.487500 0.071875 0.216667
-23 0.469531 0.445833 0.223438 0.266667
-25 0.677344 0.803125 0.135937 0.164583
\ No newline at end of file
+12 0.789062 0.548958 0.137500 0.222917
+14 0.607812 0.396875 0.153125 0.177083
+4 0.136719 0.550000 0.107813 0.325000
\ No newline at end of file
diff --git a/dataset/labels/val/val_0028.txt b/dataset/labels/val/val_0028.txt
index 4704a15..e2990fc 100644
--- a/dataset/labels/val/val_0028.txt
+++ b/dataset/labels/val/val_0028.txt
@@ -1,2 +1,2 @@
-13 0.789062 0.184375 0.181250 0.206250
-10 0.666406 0.541667 0.117188 0.145833
\ No newline at end of file
+12 0.250781 0.562500 0.226562 0.220833
+15 0.671875 0.151042 0.181250 0.110417
\ No newline at end of file
diff --git a/dataset/labels/val/val_0029.txt b/dataset/labels/val/val_0029.txt
index 7e792b3..6df4eb8 100644
--- a/dataset/labels/val/val_0029.txt
+++ b/dataset/labels/val/val_0029.txt
@@ -1,2 +1,2 @@
-19 0.864844 0.432292 0.164062 0.264583
-1 0.557813 0.423958 0.209375 0.281250
\ No newline at end of file
+21 0.149219 0.240625 0.167187 0.318750
+8 0.364844 0.444792 0.101562 0.110417
\ No newline at end of file
diff --git a/dataset/labels/val/val_0030.txt b/dataset/labels/val/val_0030.txt
index 3fe08da..410116a 100644
--- a/dataset/labels/val/val_0030.txt
+++ b/dataset/labels/val/val_0030.txt
@@ -1,3 +1,2 @@
-1 0.534375 0.515625 0.184375 0.268750
-20 0.596875 0.223958 0.209375 0.247917
-1 0.336719 0.323958 0.189062 0.293750
\ No newline at end of file
+21 0.533594 0.467708 0.145313 0.268750
+3 0.257812 0.417708 0.228125 0.168750
\ No newline at end of file
diff --git a/dataset/labels/val/val_0031.txt b/dataset/labels/val/val_0031.txt
index ce2ed65..553151d 100644
--- a/dataset/labels/val/val_0031.txt
+++ b/dataset/labels/val/val_0031.txt
@@ -1,3 +1,2 @@
-9 0.185156 0.766667 0.189062 0.183333
-12 0.418750 0.559375 0.125000 0.185417
-22 0.333594 0.702083 0.157812 0.208333
\ No newline at end of file
+1 0.777344 0.533333 0.235937 0.312500
+2 0.782813 0.214583 0.200000 0.287500
\ No newline at end of file
diff --git a/dataset/labels/val/val_0032.txt b/dataset/labels/val/val_0032.txt
index 0bdfadb..ef25de8 100644
--- a/dataset/labels/val/val_0032.txt
+++ b/dataset/labels/val/val_0032.txt
@@ -1 +1 @@
-27 0.840625 0.347917 0.134375 0.183333
\ No newline at end of file
+5 0.197656 0.425000 0.248438 0.233333
\ No newline at end of file
diff --git a/dataset/labels/val/val_0033.txt b/dataset/labels/val/val_0033.txt
index fef7dff..6552ac1 100644
--- a/dataset/labels/val/val_0033.txt
+++ b/dataset/labels/val/val_0033.txt
@@ -1,3 +1,3 @@
-9 0.255469 0.641667 0.160938 0.270833
-25 0.172656 0.473958 0.182812 0.252083
-25 0.729688 0.327083 0.193750 0.283333
\ No newline at end of file
+21 0.722656 0.264583 0.192188 0.245833
+11 0.184375 0.368750 0.162500 0.162500
+18 0.466406 0.314583 0.201563 0.220833
\ No newline at end of file
diff --git a/dataset/labels/val/val_0034.txt b/dataset/labels/val/val_0034.txt
index 98d4e29..c7cb538 100644
--- a/dataset/labels/val/val_0034.txt
+++ b/dataset/labels/val/val_0034.txt
@@ -1 +1,3 @@
-16 0.859375 0.439583 0.178125 0.258333
\ No newline at end of file
+4 0.443750 0.415625 0.125000 0.277083
+16 0.685937 0.268750 0.128125 0.187500
+22 0.258594 0.380208 0.132812 0.177083
\ No newline at end of file
diff --git a/dataset/labels/val/val_0035.txt b/dataset/labels/val/val_0035.txt
index 4c1ee45..333c36d 100644
--- a/dataset/labels/val/val_0035.txt
+++ b/dataset/labels/val/val_0035.txt
@@ -1,3 +1,3 @@
-26 0.578125 0.492708 0.087500 0.310417
-15 0.832031 0.735417 0.089063 0.195833
-24 0.207813 0.308333 0.140625 0.187500
\ No newline at end of file
+13 0.689063 0.273958 0.137500 0.218750
+12 0.241406 0.598958 0.157812 0.202083
+26 0.272656 0.438542 0.120313 0.218750
\ No newline at end of file
diff --git a/dataset/labels/val/val_0036.txt b/dataset/labels/val/val_0036.txt
index d0a9b47..022ac62 100644
--- a/dataset/labels/val/val_0036.txt
+++ b/dataset/labels/val/val_0036.txt
@@ -1 +1,2 @@
-16 0.412500 0.809375 0.134375 0.189583
\ No newline at end of file
+1 0.816406 0.566667 0.204687 0.220833
+25 0.132812 0.668750 0.131250 0.195833
\ No newline at end of file
diff --git a/dataset/labels/val/val_0037.txt b/dataset/labels/val/val_0037.txt
index d1a91d8..a4caff2 100644
--- a/dataset/labels/val/val_0037.txt
+++ b/dataset/labels/val/val_0037.txt
@@ -1 +1,2 @@
-25 0.157031 0.555208 0.201563 0.243750
\ No newline at end of file
+20 0.857812 0.676042 0.140625 0.164583
+3 0.257812 0.752083 0.150000 0.358333
\ No newline at end of file
diff --git a/dataset/labels/val/val_0038.txt b/dataset/labels/val/val_0038.txt
index 8269e45..0412cea 100644
--- a/dataset/labels/val/val_0038.txt
+++ b/dataset/labels/val/val_0038.txt
@@ -1,2 +1,2 @@
-9 0.705469 0.239583 0.173437 0.316667
-27 0.752344 0.507292 0.151562 0.185417
\ No newline at end of file
+4 0.428125 0.672917 0.106250 0.187500
+10 0.709375 0.833333 0.096875 0.129167
\ No newline at end of file
diff --git a/dataset/labels/val/val_0039.txt b/dataset/labels/val/val_0039.txt
index daa95cd..5e28e59 100644
--- a/dataset/labels/val/val_0039.txt
+++ b/dataset/labels/val/val_0039.txt
@@ -1,2 +1,3 @@
-0 0.188281 0.322917 0.160938 0.200000
-13 0.389062 0.382292 0.190625 0.235417
\ No newline at end of file
+22 0.795312 0.217708 0.143750 0.193750
+16 0.596875 0.629167 0.125000 0.245833
+21 0.329688 0.592708 0.221875 0.285417
\ No newline at end of file
diff --git a/dataset/labels/val/val_0040.txt b/dataset/labels/val/val_0040.txt
index 49462af..f8657c3 100644
--- a/dataset/labels/val/val_0040.txt
+++ b/dataset/labels/val/val_0040.txt
@@ -1,2 +1,2 @@
-14 0.744531 0.808333 0.167187 0.204167
-9 0.612500 0.440625 0.134375 0.214583
\ No newline at end of file
+24 0.302344 0.413542 0.198437 0.289583
+25 0.375781 0.662500 0.170313 0.212500
\ No newline at end of file
diff --git a/dataset/labels/val/val_0041.txt b/dataset/labels/val/val_0041.txt
index aef8085..4e47898 100644
--- a/dataset/labels/val/val_0041.txt
+++ b/dataset/labels/val/val_0041.txt
@@ -1,2 +1,2 @@
-1 0.375000 0.615625 0.212500 0.272917
-5 0.764844 0.344792 0.226562 0.210417
\ No newline at end of file
+18 0.145313 0.331250 0.140625 0.200000
+27 0.750000 0.758333 0.146875 0.179167
\ No newline at end of file
diff --git a/dataset/labels/val/val_0042.txt b/dataset/labels/val/val_0042.txt
index c13277b..a1a8908 100644
--- a/dataset/labels/val/val_0042.txt
+++ b/dataset/labels/val/val_0042.txt
@@ -1,3 +1 @@
-8 0.596875 0.235417 0.118750 0.154167
-17 0.658594 0.617708 0.085938 0.343750
-8 0.124219 0.580208 0.132812 0.118750
\ No newline at end of file
+11 0.746094 0.592708 0.229687 0.210417
\ No newline at end of file
diff --git a/dataset/labels/val/val_0043.txt b/dataset/labels/val/val_0043.txt
index 17e0e26..a3632b5 100644
--- a/dataset/labels/val/val_0043.txt
+++ b/dataset/labels/val/val_0043.txt
@@ -1,3 +1,2 @@
-11 0.263281 0.582292 0.145313 0.168750
-6 0.761719 0.626042 0.182812 0.243750
-20 0.142969 0.318750 0.167187 0.245833
\ No newline at end of file
+2 0.495312 0.818750 0.203125 0.220833
+17 0.168750 0.593750 0.087500 0.350000
\ No newline at end of file
diff --git a/dataset/labels/val/val_0044.txt b/dataset/labels/val/val_0044.txt
index ee8037d..b0b9d52 100644
--- a/dataset/labels/val/val_0044.txt
+++ b/dataset/labels/val/val_0044.txt
@@ -1,3 +1,2 @@
-10 0.261719 0.383333 0.073438 0.108333
-27 0.620313 0.764583 0.162500 0.208333
-20 0.314063 0.747917 0.181250 0.237500
\ No newline at end of file
+9 0.408594 0.645833 0.160938 0.175000
+14 0.759375 0.631250 0.206250 0.250000
\ No newline at end of file
diff --git a/dataset/labels/val/val_0045.txt b/dataset/labels/val/val_0045.txt
index 8456a4a..172608d 100644
--- a/dataset/labels/val/val_0045.txt
+++ b/dataset/labels/val/val_0045.txt
@@ -1,3 +1 @@
-19 0.684375 0.617708 0.165625 0.247917
-5 0.323437 0.287500 0.153125 0.291667
-0 0.803125 0.491667 0.200000 0.320833
\ No newline at end of file
+5 0.495312 0.222917 0.190625 0.308333
\ No newline at end of file
diff --git a/dataset/labels/val/val_0046.txt b/dataset/labels/val/val_0046.txt
index ad991a7..345528c 100644
--- a/dataset/labels/val/val_0046.txt
+++ b/dataset/labels/val/val_0046.txt
@@ -1 +1,3 @@
-23 0.582812 0.330208 0.134375 0.177083
\ No newline at end of file
+22 0.332813 0.602083 0.150000 0.225000
+19 0.866406 0.730208 0.135937 0.181250
+25 0.870313 0.428125 0.140625 0.168750
\ No newline at end of file
diff --git a/dataset/labels/val/val_0047.txt b/dataset/labels/val/val_0047.txt
index 849c782..e2a91b2 100644
--- a/dataset/labels/val/val_0047.txt
+++ b/dataset/labels/val/val_0047.txt
@@ -1,3 +1 @@
-7 0.433594 0.615625 0.139063 0.118750
-17 0.402344 0.881250 0.239063 0.100000
-8 0.108594 0.761458 0.089063 0.202083
\ No newline at end of file
+24 0.264844 0.831250 0.142187 0.200000
\ No newline at end of file
diff --git a/dataset/labels/val/val_0048.txt b/dataset/labels/val/val_0048.txt
index c82e9c3..1e37491 100644
--- a/dataset/labels/val/val_0048.txt
+++ b/dataset/labels/val/val_0048.txt
@@ -1,3 +1,2 @@
-27 0.672656 0.398958 0.135937 0.164583
-4 0.532031 0.392708 0.182812 0.131250
-18 0.342187 0.693750 0.153125 0.200000
\ No newline at end of file
+26 0.704688 0.531250 0.146875 0.150000
+12 0.513281 0.534375 0.110937 0.214583
\ No newline at end of file
diff --git a/dataset/labels/val/val_0049.txt b/dataset/labels/val/val_0049.txt
index bc55fc7..540ce59 100644
--- a/dataset/labels/val/val_0049.txt
+++ b/dataset/labels/val/val_0049.txt
@@ -1,2 +1 @@
-11 0.203125 0.679167 0.143750 0.233333
-13 0.606250 0.780208 0.146875 0.227083
\ No newline at end of file
+26 0.388281 0.437500 0.170313 0.341667
\ No newline at end of file
diff --git a/export.py b/export.py
index 1cb84c4..8845b08 100644
--- a/export.py
+++ b/export.py
@@ -39,7 +39,8 @@ def export_to_onnx(model_path, onnx_path):
         output_names=["boxes", "scores", "labels"],
         dynamic_axes={
             "images": {0: "batch_size"}
-        }
+        },
+        dynamo=False
     )
     
     print(f"Successfully saved ONNX model to {onnx_path}")
diff --git a/inference.py b/inference.py
index 33d65ea..cb1bf40 100644
--- a/inference.py
+++ b/inference.py
@@ -31,7 +31,7 @@ class FruitVegetableDetector:
             print(f"Failed to load ONNX model: {e}. Falling back to SIMULATED mode.")
             self.session = None
 
-    def detect(self, image_rgb, confidence_threshold=0.10):
+    def detect(self, image_rgb, confidence_threshold=0.85):
         """
         Runs inference on an RGB image.
         Args:
@@ -90,8 +90,54 @@ class FruitVegetableDetector:
             
         # Sort predictions by confidence descending
         predictions = sorted(predictions, key=lambda x: x["confidence"], reverse=True)
+        
+        # Apply Non-Maximum Suppression (NMS) to eliminate duplicate/overlapping boxes
+        predictions = self.apply_nms(predictions, iou_threshold=0.5)
+        
         return predictions
 
+    def apply_nms(self, predictions, iou_threshold=0.5):
+        """
+        Applies Non-Maximum Suppression (NMS) to predictions.
+        """
+        if not predictions:
+            return []
+            
+        keep = []
+        # Predictions are already sorted by confidence descending
+        candidates = list(predictions)
+        
+        while candidates:
+            best = candidates.pop(0)
+            keep.append(best)
+            
+            remaining = []
+            for pred in candidates:
+                if self.calculate_iou(best["box"], pred["box"]) < iou_threshold:
+                    remaining.append(pred)
+            candidates = remaining
+            
+        return keep
+
+    def calculate_iou(self, box1, box2):
+        """
+        Calculates Intersection over Union (IoU) of two boxes [xmin, ymin, xmax, ymax].
+        """
+        x1 = max(box1[0], box2[0])
+        y1 = max(box1[1], box2[1])
+        x2 = min(box1[2], box2[2])
+        y2 = min(box1[3], box2[3])
+        
+        intersection = max(0, x2 - x1) * max(0, y2 - y1)
+        
+        area1 = (box1[2] - box1[0]) * (box1[3] - box1[1])
+        area2 = (box2[2] - box2[0]) * (box2[3] - box2[1])
+        union = area1 + area2 - intersection
+        
+        if union == 0:
+            return 0
+        return intersection / union
+
     def _simulate_detection(self, width, height, confidence_threshold):
         """
         Generates simulated detections based on random chances.
diff --git a/models/model.onnx b/models/model.onnx
index ef63f8d..3a4333d 100644
Binary files a/models/model.onnx and b/models/model.onnx differ
diff --git a/models/model.pt b/models/model.pt
index d341626..43dad46 100644
Binary files a/models/model.pt and b/models/model.pt differ
diff --git a/requirements.txt b/requirements.txt
index 467468c..3240299 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,3 +1,7 @@
 fastapi
 uvicorn
 albumentations
+torch-directml
+onnxruntime-directml
+onnx
+onnxscript
diff --git a/test.onnx b/test.onnx
new file mode 100644
index 0000000..c24176a
Binary files /dev/null and b/test.onnx differ
diff --git a/train.py b/train.py
index 8bb1273..35231a1 100644
--- a/train.py
+++ b/train.py
@@ -12,6 +12,18 @@ import numpy as np
 from dataset import FruitVegetableDataset, collate_fn
 from data_generator import build_dataset
 
+# Lower our own process priority on Windows so the FastAPI web server
+# stays responsive in the browser while CPU training is running.
+if sys.platform == "win32":
+    try:
+        import ctypes
+        BELOW_NORMAL_PRIORITY_CLASS = 0x00004000
+        handle = ctypes.windll.kernel32.GetCurrentProcess()
+        ctypes.windll.kernel32.SetPriorityClass(handle, BELOW_NORMAL_PRIORITY_CLASS)
+        print("[train.py] CPU priority set to BELOW_NORMAL to keep web server responsive.", flush=True)
+    except Exception as _prio_err:
+        print(f"[train.py] Could not set process priority: {_prio_err}", flush=True)
+
 STATUS_FILE = "training_status.json"
 
 def update_status(status, epoch=0, total_epochs=0, train_loss=[], val_loss=[], progress=0.0, message=""):
@@ -95,8 +107,25 @@ def train(args):
         weights_backbone=torchvision.models.MobileNet_V3_Large_Weights.DEFAULT
     )
     
-    # Send to GPU if available, else CPU
-    device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')
+    # Send to best available device:
+    # 1. DirectML (AMD / Intel GPU on Windows via torch-directml)
+    # 2. CUDA (NVIDIA GPU)
+    # 3. CPU fallback
+    try:
+        import torch_directml
+        device = torch_directml.device()
+        print(f"Using DirectML (AMD GPU): {device}")
+    except ImportError:
+        if torch.cuda.is_available():
+            device = torch.device('cuda')
+            print(f"Using CUDA (NVIDIA GPU): {torch.cuda.get_device_name(0)}")
+        else:
+            device = torch.device('cpu')
+            print("No GPU found, using CPU.")
+            # Automatically cap batch size on CPU to avoid freezing the web server
+            if args.batch_size > 4:
+                print(f"[CPU mode] Reducing batch size from {args.batch_size} to 4 to keep web server responsive.")
+                args.batch_size = 4
     model.to(device)
     
     # Optimizer and learning rate scheduler
@@ -107,7 +136,8 @@ def train(args):
     train_loss_history = []
     val_loss_history = []
     
-    print(f"Starting training on {device} for {args.epochs} epochs...")
+    device_label = str(device)
+    print(f"Starting training on {device_label} for {args.epochs} epochs...")
     for epoch in range(1, args.epochs + 1):
         # 1. Training Phase
         model.train()
diff --git a/training_status.json b/training_status.json
index b817b2a..e4c6e37 100644
--- a/training_status.json
+++ b/training_status.json
@@ -1,172 +1,42 @@
 {
   "status": "completed",
-  "epoch": 80,
-  "total_epochs": 80,
+  "epoch": 15,
+  "total_epochs": 15,
   "train_loss": [
-    14.416558946881976,
-    8.560535499027797,
-    6.1590442316872736,
-    4.979522909436907,
-    4.018168040684292,
-    3.480345674923488,
-    3.073960338320051,
-    2.7360907111849104,
-    2.557032789502825,
-    2.243378366742815,
-    2.1308790956224715,
-    2.1955452987125943,
-    2.0070086462157115,
-    2.0185878106525967,
-    1.8345478347369604,
-    1.6559349298477173,
-    1.5849260262080602,
-    1.5635022521018982,
-    1.6062596610614233,
-    1.726163855620793,
-    1.538249773638589,
-    1.4960618615150452,
-    1.4468259130205428,
-    1.4194436711924416,
-    1.2881800532341003,
-    1.3486164723123824,
-    1.2451901946749007,
-    1.239103044782366,
-    1.2390668647629874,
-    1.2033049719674247,
-    1.1581505239009857,
-    1.2257465635027205,
-    1.2348976390702384,
-    1.2129942263875688,
-    1.1189724377223425,
-    1.1739094257354736,
-    1.0684803128242493,
-    1.0584009460040502,
-    1.0583988513265337,
-    1.0612394085952215,
-    1.0146875594343459,
-    1.0530114897659846,
-    1.0255295463970728,
-    0.9540680178574154,
-    0.9820051533835275,
-    0.9030428443636213,
-    0.9445878054414477,
-    0.9593135033335004,
-    0.9215684916291919,
-    0.898622704403741,
-    0.8534730630261558,
-    0.9186239157404218,
-    0.8841125326497214,
-    0.952531350510461,
-    0.8495224756853921,
-    0.9096398566450391,
-    0.8117819002696446,
-    0.8971408520426069,
-    0.8703128184591021,
-    0.9266059909548078,
-    0.8670538536139897,
-    0.8467714020184108,
-    0.786924170596259,
-    0.7829203350203378,
-    0.7780132591724396,
-    0.8383871998105731,
-    0.8371244583811078,
-    0.8669620113713401,
-    0.7904618041855949,
-    0.7480435158525195,
-    0.8140954801014492,
-    0.7576784746987479,
-    0.8081949864115033,
-    0.8191582986286708,
-    0.8439824794019971,
-    0.7994476173605237,
-    0.7453874221869877,
-    0.788932808807918,
-    0.7627504255090441,
-    0.7890771670000893
+    10.263752554144178,
+    6.057387922491346,
+    5.011814709220614,
+    4.254376300743648,
+    3.7022776007652283,
+    3.313543749707086,
+    2.9510713049343655,
+    2.8337524448122298,
+    2.586991550666945,
+    2.4200299041611806,
+    2.322354542357581,
+    2.140060463121959,
+    1.9852574510233743,
+    2.024142352598054,
+    1.931283923132079
   ],
   "val_loss": [
-    11.423399448394775,
-    7.716830611228943,
-    6.559785723686218,
-    5.9326852560043335,
-    6.204100728034973,
-    5.083087205886841,
-    4.765932559967041,
-    4.626651465892792,
-    4.4000959396362305,
-    4.538154661655426,
-    4.298968076705933,
-    4.25590717792511,
-    4.733014106750488,
-    4.8199251890182495,
-    4.057524085044861,
-    4.768541395664215,
-    4.158342659473419,
-    3.7549831867218018,
-    3.689927816390991,
-    5.621420621871948,
-    4.643145322799683,
-    4.396498441696167,
-    4.417411983013153,
-    3.994734764099121,
-    3.5355687141418457,
-    3.8406707048416138,
-    3.744269847869873,
-    4.08042448759079,
-    3.5711975693702698,
-    3.6882749795913696,
-    3.4119914174079895,
-    3.999879002571106,
-    3.16350781917572,
-    3.732041835784912,
-    3.61198091506958,
-    3.769675314426422,
-    3.559831738471985,
-    3.63018000125885,
-    3.461347460746765,
-    3.9509286880493164,
-    3.793315291404724,
-    3.543702006340027,
-    3.4955060482025146,
-    3.7790576815605164,
-    3.9144787192344666,
-    3.552132308483124,
-    3.7025479078292847,
-    3.5490792393684387,
-    3.4633408784866333,
-    3.6982257962226868,
-    3.4715570211410522,
-    3.678580343723297,
-    3.5512651801109314,
-    3.491621494293213,
-    3.6497156023979187,
-    3.6593204140663147,
-    3.6703805327415466,
-    3.7796921133995056,
-    3.7331241965293884,
-    3.2891265153884888,
-    3.8539904356002808,
-    3.4467931985855103,
-    3.6037285923957825,
-    3.654494881629944,
-    3.483547568321228,
-    3.555329144001007,
-    3.2837223410606384,
-    3.514080762863159,
-    3.4075995087623596,
-    3.4499229192733765,
-    3.481794774532318,
-    3.490117132663727,
-    3.5257052779197693,
-    3.493154466152191,
-    3.50936621427536,
-    3.54010146856308,
-    3.5379744172096252,
-    3.5357993245124817,
-    3.5334702134132385,
-    3.5319539308547974
+    7.185168192936824,
+    5.922260541182298,
+    4.793318601754995,
+    4.590402603149414,
+    4.712024376942561,
+    3.99642223578233,
+    3.6438596615424523,
+    3.235011577606201,
+    3.219804231937115,
+    3.2824925826146054,
+    2.617660008943998,
+    2.572516129567073,
+    2.6132534650655894,
+    2.505127164033743,
+    2.4962293276420007
   ],
   "progress": 100.0,
   "message": "Training completed successfully! Saved PyTorch model to models\\model.pt",
-  "timestamp": 1780007552.618948
+  "timestamp": 1780056550.0019786
 }
\ No newline at end of file