Mean Average Precision (mAP) is a metric used to evaluate the accuracy of object detection systems by calculating the average precision across multiple classes. It considers both the precision and recall of detected objects, providing a comprehensive assessment of performance. This metric is particularly important in applications where accurate identification and localization of moving objects are crucial, making it relevant for assessing motion detection and tracking systems.
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