Label multimodal data and evaluate AI models with Label Studio, an open-source annotation platform.
Cvat
CVAT annotates images, video, audio, and 3D data for AI datasets, with quality control, analytics, collaboration, APIs, and labeling services.

About Cvat
CVAT is a data annotation platform for images, video, 3D point clouds, and audio. It provides manual tools for boxes, polygons, masks, skeletons, tags, and tracks, with automated assistance from SAM 2, SAM 3, Ultralytics, Hugging Face, or custom models.
It includes project, task, and role management, review workflows using ground truth, honeypots, and consensus, progress monitoring, and import from local files and cloud storage with export in 20+ formats. It is available as managed cloud, self-hosted enterprise, and self-hosted open-source editions, with optional labeling services.
Key features
- Annotate images with boxes, polygons, masks, keypoints, and skeletons
- Track objects and skeleton graphs across video frames
- Detect and classify objects in 3D point cloud sequences
- Transcribe speech into time-aligned text and segment sound events
- Import data from local files and S3, Azure, Google Cloud storage
- Export in 20+ formats and automate via API, SDK, and CLI
- Supports images, video, 3D point clouds, and audio in one platform
- Offers managed cloud, self-hosted enterprise, and open-source options
- Includes quality review with ground truth, honeypots, and consensus workflows
Cvat at a glance
- Website
- cvat.ai
- Type
- Website
- Pricing
- Free
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Cvat FAQ
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