Update app.py

app.py

@@ -167,7 +167,7 @@ async def predict_single_dog(image):
     return top1_prob, topk_breeds, topk_probs_percent
     
 
-async def detect_multiple_dogs(image, conf_threshold=0.3, iou_threshold=0.55):
+async def detect_multiple_dogs(image, conf_threshold=0.4, iou_threshold=0.55):
     results = model_yolo(image, conf=conf_threshold, iou=iou_threshold)[0]
     dogs = []
     boxes = []
@@ -288,7 +288,9 @@ async def predict(image):
             top1_prob, topk_breeds, topk_probs_percent = await predict_single_dog(cropped_image)
             color = color_list[i % len(color_list)]
             draw.rectangle(box, outline=color, width=3)
-            draw.text((box[0], box[1]), f"Dog {i+1}", fill=color, font=font)
+            #draw.text((box[0], box[1]), f"Dog {i+1}", fill=color, font=font)
+            draw.text((box[0] + 5, box[1] + 5), f"Dog {i+1}", fill=color, font=font)
+
 
             combined_confidence = detection_confidence * top1_prob