Mean Average Precision (mAP) Explained & PyTorch Implementation!

Mean Average Precision (mAP) Explained & PyTorch Implementation!

Learn about a very important object detection metric in Mean Average Precision (mAP) that is used to evaluate object detection models. We try to understand how this method works and then move on to PyTorch to implement this from scratch.

In this video we learn about a very important object detection metric in Mean Average Precision (mAP) that is used to evaluate object detection models. In the first part of the video we try to understand how this method works and then move on to PyTorch to implement this from scratch.

Github Repository: https://github.com/aladdinpersson/Machine-Learning-Collection

  • 0:00 - Introduction
  • 0:09 - Explanation of mAP
  • 8:19 - Implementation in PyTorch

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