Update app.py

app.py

@@ -150,7 +150,7 @@ async def predict_single_dog(image):
     return top1_prob, topk_breeds, relative_probs
     
 
-async def detect_multiple_dogs(image, conf_threshold=0.35, iou_threshold=0.45):
+async def detect_multiple_dogs(image, conf_threshold=0.3, iou_threshold=0.45):
     results = model_yolo(image, conf=conf_threshold, iou=iou_threshold)[0]
     dogs = []
     boxes = []
@@ -270,7 +270,7 @@ async def predict(image):
             dogs_info += f'<div class="dog-info" style="border-left: 5px solid {color}; margin-bottom: 20px; padding: 15px;">'
             dogs_info += f'<h2>Dog {i+1}</h2>'
             
-            if combined_confidence < 0.15:
+            if combined_confidence < 0.2:
                 dogs_info += "<p>The image is unclear or the breed is not in the dataset. Please upload a clearer image.</p>"
                 
             elif top1_prob >= 0.45: