fix: try to reduce the confidence threshold

app.py

@@ -28,7 +28,7 @@ async def inference(file: UploadFile):
     image_bytes = await file.read()
     img = np.frombuffer(image_bytes, dtype=np.uint8)
     img = cv2.imdecode(img, cv2.IMREAD_COLOR)
-    results = model.predict(source=img, conf=0.5)
+    results = model.predict(source=img, conf=0.3)
     detections = []
     for r in results: 
         boxes = r.boxes