mAP (mean Average Precision) for Object Detection

mAP is the metric to measure the accuracy of object detectors like Faster R-CNN, SSD, etc. It is the average of the maximum precisions at different recall values. It sounds complicated but actually pretty simple as we illustrate it with an example. But before that, we will do a quick recap on precision, recall and IoU first.

最直观的理解：