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🧠 OpenCV on Hugging Face

Welcome to the official Hugging Face organization for OpenCV β€” the world’s most popular open-source computer vision and machine learning library.


🌍 About OpenCV

OpenCV (Open Source Computer Vision Library) is an open-source, cross-platform library that provides a rich infrastructure for computer vision, image processing, and machine learning. It supports a wide array of programming languages including C++, Python, Java, and more. Since its launch in 2000, OpenCV has become the de facto standard for real-time computer vision and deep learning applications in academia, industry, and embedded systems.

Mission: To advance computer vision and AI by democratizing access to high-performance vision infrastructure.

Official website: opencv.org GitHub: github.com/opencv License: Apache 2.0


πŸ‘‰ Check out our official model collection here:
πŸ”— OpenCV Zoo Collection on Hugging Face


πŸ“¦ What You'll Find Here

This Hugging Face organization hosts:

  • Pretrained models which can be inferred using OpenCV’s dnn module (Deep Neural Network).
  • Demo pipelines using OpenCV and Hugging Face Transformers/Models.
  • Converted vision models for edge deployment with OpenCV support.

πŸ›  Technology Stack

  • OpenCV Core (C++, Python bindings)
  • OpenCV dnn module for inference
  • Integration with ONNX, TensorFlow, PyTorch, and OpenVINO
  • Real-time processing on CPU, GPU, and embedded hardware

🀝 Contributing

OpenCV thrives on community contributions. You can get involved by:

  • Submitting models built with OpenCV for deployment on Hugging Face
  • Creating sample pipelines and notebooks
  • Reporting issues or performance regressions
  • Sharing feedback and benchmarks

Main GitHub repos:

To contribute to this Hugging Face org, please open an issue or pull request in the appropriate model repository.


πŸ“« Contact

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πŸ“„ License

Unless otherwise specified, all models and code in this organization are released under the Apache License 2.0.

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