Intersection over Union (IoU) Explained with Pytorch

👨‍💻 to get started with AI engineering, check out this Scrimba course: https://scrimba.com/the-ai-engineer-path-c02v?via=yacineMahdid

The intersection over Union similarity metric is very useful to assess how good a model is at object recognition.

In this tutorial, we will walk slowly through the theory of IoU for bounding boxes and mask, and wrap everything up with Pytorch code walkthrough!

# Table of Content
- Introduction: 0:00
- Definition of IoU: 1:54
- Formula Breakdown: 3:24
- Segmentation Mask Modification: 8:23
- Pytorch Implementation of IoU - Box: 10:21
- Pytorch Implementation of IoU - Mask: 15:45
- Conclusion: 17:37

Enjoy! 🌹

----
Join the newsletter for weekly AI content: https://yacinemahdid.com
Join the Discord for general discussion: https://discord.gg/QpkxRbQBpf
----
Follow Me Online Here:

Twitter: https://twitter.com/yacineaxya
GitHub: https://github.com/yacineMahdid
LinkedIn: https://www.linkedin.com/in/yacinemahdid/
___

Have a great week! 👋