Update app.py

app.py

@@ -20,12 +20,12 @@ def detect_objects(image):
     # Convert PIL to RGB NumPy array (YOLO expects RGB)
     img = np.array(image.convert("RGB"))
 
-    # Run prediction with tuned thresholds
+    # Run prediction with same settings used during training
     results = model.predict(
         source=img,
-        imgsz=640,        # same as training
-        conf=0.5,         # higher confidence threshold to reduce duplicates
-        iou=0.45,         # standard NMS threshold
+        imgsz=640,        # same resolution as training
+        conf=0.25,        # lower confidence threshold to catch subtle detections
+        iou=0.45,         # standard non-max suppression
         verbose=False
     )