Anyone know how to calculate the mAP coco dataset for every class with my own tensorflow object detection model?
I edit one model to do one new operation to increase the object detection. In the output i have one array with the roi coordinates detections, the score and the class.
I have finding how to measure the mAP but i dont find anything to do that. I am working with tensorflow object detection and i want to evaluate the mAP using coco dataset.
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