CVAT
The open source, interactive video and image annotation tool.
Overview
CVAT (Computer Vision Annotation Tool) is a free, open-source, web-based annotation tool for labeling images and videos. It was originally developed by Intel and is now maintained by a dedicated open-source community. It supports a wide range of computer vision tasks, including object detection, image segmentation, and classification. Its popularity stems from its powerful features, flexibility, and cost-effectiveness.
✨ Key Features
- Free and open-source
- Annotation for images and videos
- Supports bounding boxes, polygons, polylines, points, and cuboids
- Automated annotation using integrated AI models
- Collaborative annotation projects
- Self-hosting for data privacy
🎯 Key Differentiators
- Completely free and open-source
- Powerful features specifically for computer vision
- Strong performance for video annotation tasks
Unique Value: Provides a powerful, feature-rich, and completely free platform for image and video annotation, empowering computer vision teams of all sizes.
🎯 Use Cases (5)
✅ Best For
- Creating datasets for self-driving car perception
- Labeling medical images for research
- Annotating retail products for inventory management
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Text, audio, or other non-visual data annotation
- Enterprise teams needing dedicated support and advanced security features out-of-the-box
- Users without the technical ability to set up and maintain a self-hosted application
🏆 Alternatives
Offers more advanced features for video annotation and automation compared to other open-source tools like LabelMe.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🔒 Compliance & Security
💰 Pricing
Free tier: CVAT is entirely free to download and use when self-hosted.
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