Project Title
notebooks — A Comprehensive Collection of State-of-the-Art Computer Vision Tutorials
Overview
The notebooks project is a repository of Jupyter Notebooks that serve as a comprehensive guide to state-of-the-art computer vision models and techniques. It offers tutorials on a wide range of models, from foundational architectures like ResNet to cutting-edge models such as YOLOv11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL. This project stands out for its extensive coverage of advanced computer vision topics and its hands-on approach to learning.
Key Features
- In-depth tutorials on various computer vision models
- Hands-on learning through Jupyter Notebooks
- Coverage of both foundational and cutting-edge models
- Topics ranging from object detection to pose estimation and OCR
Use Cases
- Researchers and developers looking to implement advanced computer vision models
- Educators needing resources for teaching state-of-the-art computer vision techniques
- Hobbyists interested in exploring the latest in computer vision technology
Advantages
- Provides a single repository for a wide array of computer vision tutorials
- Enables practical learning through interactive notebooks
- Keeps the community updated with the latest in computer vision research
Limitations / Considerations
- The project's effectiveness is highly dependent on the user's familiarity with Jupyter Notebooks
- Some advanced tutorials may require significant computational resources to run
- The project's growth relies on community contributions for new tutorials and updates
Similar / Related Projects
- TensorFlow Tutorials: A collection of tutorials for TensorFlow, a popular machine learning framework. TensorFlow Tutorials focus more on the framework itself rather than specific computer vision models.
- PyTorch Geometric: A library for geometric deep learning, which includes some computer vision applications. It differs in that it's a library rather than a collection of tutorials.
- fastai: A library that provides practical deep learning tutorials, including some computer vision topics. fastai is known for its emphasis on making deep learning more accessible.
Basic Information
- GitHub: https://github.com/roboflow/notebooks
- Stars: 8,529
- License: Unknown
- Last Commit: 2025-10-03
📊 Project Information
- Project Name: notebooks
- GitHub URL: https://github.com/roboflow/notebooks
- Programming Language: Jupyter Notebook
- ⭐ Stars: 8,529
- 🍴 Forks: 1,336
- 📅 Created: 2022-11-18
- 🔄 Last Updated: 2025-10-03
🏷️ Project Topics
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