C25 | Mean Average Precision | Object Detection | Machine learning | EvODN

Описание к видео C25 | Mean Average Precision | Object Detection | Machine learning | EvODN

The Average Precision measure is sufficient if there is just one type of Object in all the images, but we usually have hundreds of categories (cat, dog, human, bicycle, whale etc). So we calculate the AP for each of the categories separately and then average them out, which gives us the 'Mean Average Precision'.

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This is a part of the course 'Evolution of Object Detection Networks'.
See full playlist here:    • Evolution Of Object Detection Networks  
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