Bokep
- Viewed 8k times4answered Jan 11, 2022 at 4:17
For mAP_0.5 I refer you to this blog post: https://jonathan-hui.medium.com/map-mean-average-precision-for-object-detection-45c121a31173
The "box loss" represents how well the algorithm can locate the centre of an object and how well the predicted bounding box covers an object. Objectness is essentially a measure of the probability that an object exists in a proposed region of interest. If the objectivity is high, this means that the image window is likely to contain an object. Classification loss gives an idea of how well the algorithm can pred...
Content Under CC-BY-SA license Tips for Best Training Results - Ultralytics YOLO Docs
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