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Detecting smaller objects or objects in the distance #136
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Thank you! Your assistance has been instrumental in boosting both the F1-score and the mean Average Precision (mAP) of our trained model. |
What is the F1-score and mAP of the model after setting threshold as described above? |
How to lower confidence level during training for fair mAP comparison between YOLOv10 and other models on datasets with smaller bounding boxes? |
how to solve the problem of Misidentification by lowering the threshold? |
@jameslahm do you plan to implement yolov10-p2 version ? |
Due to that YOLOv10 adopts the different training strategy with others, e.g. YOLOv8, it may thus have different favorable confidence threshold to detect objects. Besides, different thresholds will have no impact on the inference latency of YOLOv10 because it does not rely on NMS. Therefore, we suggest that a smaller threshold can be freely set or tuned for YOLOv10 to detect smaller objects or objects in the distance. For example,
Thank you all! ❤️
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