'Understanding Detectron2 COCO Evaluator

I am evaluating Cityscapes dataset using COCOEvaluator from Detectron2.

I want to know if COCO Evaluation metric implemented in Detectron2 takes into consideration the number of instances of each class, i.e. if the mAP is actually the weighted mAP.

Disclaimer: I already googled for high level algorithmic details about COCO mAP metric but didn't found any reference about whether the mAP is weighted or not. Also took a look into the COCO API and Detectron2 mAP implementation code but it's way to complex.

datasetobject-detectiondetectroncocomscoco


Solution 1:[1]

I don't think the COCOEvaluator calculate a weighted mAP based on different classes. Actually, it directly calls the code prom pycoco library. They calculate the average mAP over different object categories directly

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Solution Source
Solution 1 Shawn Jiang

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