Equations for computing true positives and false positives when using object detection algorithms?

I am running some evaluation metrics using the YOLOv5 object detection algorithm, and wish to calculate my true positives and false positives. For instance, the evaluation metric outputs are as follows:

Class Images Labels Prec Recall mAP@.5 mAP@.5:.95: all 100 36 0.444 0.702 0.481 0.223 Class 1 50 29 0.588 0.689 0.668 0.333 Class 2 50 7 0.301 0.714 0.293 0.113

Looking at this source (https://github.com/ultralytics/yolov5/issues/5713), I found that you could calculate the true positives and false positives …

algorithms artificial computing detection false