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                                            Михаил

mAP is wrong if all scores are equal (=not providing a score)

You probably expect the output to be something like this: ![image](https://github.com/user-attachments/assets/d045e365-4fbb-45dd-a65e-f4134c921636) ![image](https://github.com/user-attachments/assets/e1540e4c-f974-40c0-b69a-22931210e3d5) Overall, if this is the case, it's a small fix that I might include in the next update...

mAP is wrong if all scores are equal (=not providing a score)

@voegtlel clone PR https://github.com/MiXaiLL76/faster_coco_eval/pull/47 Check what you wanted here)

mAP is wrong if all scores are equal (=not providing a score)

@voegtlel Is it still relevant? Can you check if the code from PR is suitable for your tasks?

mAP is wrong if all scores are equal (=not providing a score)

@voegtlel Is it still relevant?

mAP is wrong if all scores are equal (=not providing a score)

Looks interesting, I would try to implement this in my library. Could you give more examples for each specific state? _(I am not a mathematician by profession, and it is...

mAP is wrong if all scores are equal (=not providing a score)

My colleague writes: > It seems to me that it is simply incorrect to assign score = 1 to all detections here. I will justify it) Let's imagine that we...

mAP is wrong if all scores are equal (=not providing a score)

> So, to summarize this: I now believe it to be better to completely disallow having no or the same scores. I suggest that the coco metrics should rather assert...

mAP is wrong if all scores are equal (=not providing a score)

@voegtlel Hi! Did you end up finding solutions to the problem? How would you calculate these metrics?

mAP is wrong if all scores are equal (=not providing a score)

@voegtlel up)

mAP is wrong if all scores are equal (=not providing a score)

@voegtlel up)