本文将深入探讨mAP指标，这是衡量如Faster R-CNN、SSD等目标检测器准确性的关键标准。我们将从精度、召回率和交并比的概念出发，通过实例直观解释mAP的计算方式。
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：
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