Precision and Recall in YOLOv5

Question

At the end of every YOLOv5 training epoch, you get an output like this:

Class     Images  Instances          P          R      mAP50   mAP50-95: 100%|██████████| 9/9 [00:04<00:00,  1.93it/s]
                   all        262        175      0.861      0.686      0.735      0.317

I assume that P and R mean precision and recall. But my question is, at what IoU threshold and what confidence threshold? Don't these parameters have to be set to properly define precision and recall?

Answer 1

The answer can be found on this link: https://github.com/ultralytics/yolov5/issues/9904