Incorrect precision and recall

[madr3z]

Precision is either 1 or 0 and recall is always 0.000589 in all epochs even after 300 epochs. I am using a single class dataset (binary detection) and I am guessing that this issue happens only with single class datasets. I tried copying yolov5 repo's utils/metrics.py but still getting the same problem. This issue also happened in Scaled-Yolov4 repo.

[yusiyoh]

I have also strange test.py results, which shows very low recall (check off class) but very high mAP, I don't know how.

[TheConstant3]

i'm faced with same problem while training!

[yusiyoh]

i'm faced with same problem while training!

You may try to clone repo again since the metrics.py is changed. However, I am not sure about precision and recall. mAP will definitely change.

[dhivakark]

Facing the same issue

[qinghezeng]

Same here! And the step is (13 * actual epoch + 6) ...

[nhatanh174]

Hi! I'm faced same issue. Anyone help me solve this problem ? Thanks.