Comments (1)
mAP is a ranking metric, so it doesn't care about the actual confidence scores but rather the ranking of those scores.
Having more false positives doesn't necessarily mean you will get a lower mAP score have a look here. But of course, if one method is giving more false positives with a similar mAP you should use the one with less FP.
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Related Issues (20)
- Having trouble putting inputs in correct format HOT 1
- Query regarding Average Precision Curve
- If there are no targets being detected, these pictures will not be put into calculation. Will this influence the accuracy? HOT 1
- map is 0 HOT 1
- Incorrect mAP when boxes are normalized to [0-1]
- map for validation set?
- How to use this py to calculate coco dataset‘s mAp?
- how to set up individual IoU threshold value?
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- 有问题询问
- Does the order make an effect? HOT 4
- How to get the Map 0.5:0.95 HOT 2
- Animation with big images
- different mAP with Alexey darknet HOT 2
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- Map goog
- mAP for each frame HOT 1
- Deprecation warnings with Matplotlib 3.4 HOT 1
- Does it accept empty file?
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