I started using the cocoapi to evaluate a model trained using the Object Detection API.
After reading various sources that explain mean average precision (mAP) and recall, I
I came to the conclusion, that this is just the way that the cocoapi defines its metric. It probably makes sense in their context, but I can as well define my own (which is what I did), based on the articles I read and linked above.