Project Title

supervision — Reusable Computer Vision Tools for Model Agnostic Detections and Annotations

Overview

Supervision is an open-source Python library designed to provide reusable computer vision tools, enabling developers to work with various models for tasks like classification, detection, and segmentation. It stands out for its model-agnostic approach and extensive support for popular libraries, making it a versatile solution for computer vision tasks.

Key Features

Model Agnostic: Works with any classification, detection, or segmentation model.
Extensive Connectors: Supports popular libraries like Ultralytics, Transformers, and MMDetection.
Customizable Annotators: Offers a wide range of annotators for visualization and customization.

Use Cases

Researchers and developers needing to load datasets and perform computer vision tasks.
Teams requiring a flexible tool to draw detections on images or videos.
Enterprises looking to count detections in specific zones for analytics.

Advantages

Easy integration with various models and libraries.
High customization for annotating detections.
Active community and regular updates.

Limitations / Considerations

Requires Python 3.9 or higher for installation.
May have a learning curve for users unfamiliar with computer vision tools.

OpenCV: A comprehensive computer vision library, but less focused on model-agnosticism and specific annotators.
Detectron2: A library for object detection, but more specialized and not as broad in scope as Supervision.
MMDetection: A popular object detection toolbox, but Supervision offers a more unified approach across different models and libraries.

Basic Information

GitHub: https://github.com/roboflow/supervision
Stars: 34,178
License: Unknown
Last Commit: 2025-08-20

📊 Project Information

Project Name: supervision
GitHub URL: https://github.com/roboflow/supervision
Programming Language: Python
⭐ Stars: 34,178
🍴 Forks: 2,758
📅 Created: 2022-11-28
🔄 Last Updated: 2025-08-20

🏷️ Project Topics

Topics: [, ]

📚 Documentation

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supervision

Project Description