karl-gardner commented on Oct 5, 2021
So the objectness (obj) loss is equal to CIoU (complete IOU) loss. What is the box (coordinate loss) equal to then?
karl-gardner commented on Oct 5, 2021
If all you say is "the other two losses are updated slightly in YOLOv5" and that the obj loss (objectness loss) is equal to CIoU then how will others know what the slight update is for YOLOv5 without any paper on it? I have been reading the papers actually but that only tells me about the first three versions of YOLO not the new version.
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Question
how to increase precision ? mAP and Recall is hight but precision only 0.75 how to increase it @glenn-jocher thank you
decent-engineer-decent-datascientist commented on Jan 28
So those are results at an arbitrary conf_thresh. Once the model finishes (which I think it's nearly maxed out) take a look at the P vs conf (or better yet, f1 vs conf) graph. You'll probably notice a much higher P.
github-actions bot commented on Feb 27
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