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mAP50 is a core evaluation metric in object detection, computed as the mean of the average precision of all classes at an IoU threshold of 0.5.
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11/2/2026
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UnverifiedmAP (mean average precision) is calculated as follows: plot precision-recall curves under different IoU criteria, compute the area under each curve (AP), and then average over all classes.74% similarUnverified目标检测任务中常用IoU（Intersection over Union）衡量不同标注员标注框的一致性，通常以0.5或0.75作为阈值73% similarUnverifiedmAP is one of the most commonly used evaluation metrics in tasks such as object detection and image retrieval72% similarUnverifiedEvaluation produces a continuous score (0 to 1), which can be discretized into pass or fail, and launching an AI product requires making a decision based on a threshold of the evaluation score.69% similarUnverifiedWhen evaluating tasks such as persuasiveness detection, it is usually necessary to report the random baseline, the majority-class baseline, and human annotation agreement, in order to judge the true gain of the number 0.57.68% similar
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