MAP
Mean Average Precision (mAP) is a performance metric used for evaluating machine learning models. We have covered mAP evaluation in detail to clear all your confusions regarding model evaluation metrics.
Intersection Over Union (IoU) quantifies degree of overlap between two boxes. In Deep Learning, it is a model evaulation helper metric.
