https://github.com/huggingface/computer-vision-course

This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
https://github.com/huggingface/computer-vision-course

computer-vision convolutional-neural-networks generative-ai neural-networks transformers

Last synced: 3 months ago
JSON representation

This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord

• Host: GitHub
• URL: https://github.com/huggingface/computer-vision-course
• Owner: huggingface
• License: mit
• Created: 2023-09-18T08:15:32.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2025-09-05T07:15:30.000Z (4 months ago)
• Last Synced: 2025-09-29T00:56:42.108Z (4 months ago)
• Topics: computer-vision, convolutional-neural-networks, generative-ai, neural-networks, transformers
• Language: Jupyter Notebook
• Homepage:
• Size: 226 MB
• Stars: 713
• Watchers: 37
• Forks: 221
• Open Issues: 28
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Codeowners: .github/CODEOWNERS

Awesome Lists containing this project

README

          
![Course](https://github.com/huggingface/computer-vision-course/assets/53175384/58e39903-5a3a-4d48-8f3c-5811f31b93b5)

# Community-led Computer Vision Community Course  🤗

This is the repository for a community-led course on Computer Vision. Over 60 contributors from the Hugging Face Computer Vision community have worked together on the content for this course.

## Course Table of Contents

0. Welcome

1. Fundamentals

2. Convolutional Neural Networks

3. Vision Transformers

4. Multimodal Models

5. Generative Models

6. Basic CV Tasks

7. Video and Video Processing

8. 3D Vision, Scene Rendering and Reconstruction

9. Model Optimization

10. Synthetic Data Creation

11. Zero Shot Computer Vision

12. Ethics and Biases

13. Outlook

## Community Powered

The result you have in front of you is as diverse as the community. A typical educational course is created by a small group of people, who try to match the tone of each other closely. We took a different road. While following a plan on which content we wanted to include, all authors had freedom in the choice of their style. Other members of the community reviewed the content and approved or made change suggestions.

The outcome is a truly unique course and proof of what a strong open-source community can achieve. 

If you want to **contribute** content or suggest some **typo/bug fixes**, head over to the [Contribution Guidelines](CONTRIBUTING.md).

If you are curious about the Hugging Face Computer Vision Community, read on 🔽

## Hugging Face Computer Vision Community

 Join us in Discord 👾

Join [the Hugging Face discord](https://discord.gg/hugging-face-879548962464493619), take the role open-source and join us at the channel #cv-community-project for discussions about the course. You can also check out the #computer-vision channel for more general discussions and questions about Computer Vision.





### Contributors



  



### Star History

[![Star History Chart](https://api.star-history.com/svg?repos=huggingface/computer-vision-course&type=Date)](https://star-history.com/#huggingface/computer-vision-course&Date)