Mean Average Precision
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Mean Average Precision
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Evaluation 12 mean Average Precision YouTube
Mean average precision mAP for an object detection model is a common metric used for assessing its precision and it has gained traction in machine learning and deep learning Yet it s still difficult to disentangle errors in object detection and instance segmentation from mAP As the name suggests Mean Average Precision or mAP is the average of AP over all detected classes mAP 1 n sum AP where n is the number of classes In the example above we have 5 classes Therefore the calculated mAP is mAP 1 5 0 349 0 545 0 1 0 5 0 4788 47 88
Evaluating Object Detection Models Using Mean Average Precision
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