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Learn about Mean Average Precision (mAP), a crucial metric for evaluating object detection models, in this 28-minute video tutorial. Gain a thorough understanding of how mAP works and follow along with a step-by-step PyTorch implementation from scratch. Explore the concept's theoretical foundations before diving into practical coding exercises to reinforce your knowledge of this essential object detection evaluation technique.
Syllabus
Mean Average Precision (mAP) Explained and PyTorch Implementation
Taught by
Aladdin Persson