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CVAT

Leading open-source annotation platform for image, video, and 3D vision

data-labeling#annotation#computer-vision#image-labeling#open-source
Free plan Free trial Claimed API Self-hosted Teams

About CVAT

CVAT is a leading open-source annotation platform for image, video, and 3D data, with AI-assisted labeling, QA, and analytics, available free self-hosted or via paid cloud tiers.

CVAT is the Computer Vision Annotation Tool, a widely adopted open-source platform for annotating images, video, and 3D data for computer-vision projects that require high precision and scale. Originally developed by Intel and now maintained by CVAT.ai, it has grown into one of the most widely used annotation platforms, with a large global developer community building on it. CVAT handles nearly every computer-vision annotation task: bounding boxes, polygons, polylines, keypoints, semantic segmentation, video tracking, and 3D cuboids for LiDAR and point-cloud data. It adds AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs, making it suitable for both individual researchers and larger data-operations teams. The self-hosted version is fully free and open source under the MIT license, so teams with their own infrastructure can run it without cost, while paid cloud and enterprise tiers offer managed hosting and additional capabilities. Active development continues, with regular releases keeping the tool current for modern vision AI workflows.

TL;DR

CVAT is a leading open-source annotation platform for image, video, and 3D vision data, free to self-host with AI-assisted labeling, QA, and paid cloud tiers.

Company overview

CVAT began as an Intel project and is now maintained by CVAT.ai. It has become one of the most widely adopted open-source annotation platforms, used by a large global community to build visual datasets for vision AI.

The company offers open-source, cloud, and enterprise products plus labeling services, spanning individual researchers to large data-operations teams. Development is active, with regular releases keeping it current.

Product features

CVAT supports the full range of computer-vision annotation tasks, from bounding boxes and polygons to keypoints, segmentation, video tracking, and 3D cuboids for LiDAR. It adds AI-assisted labeling, QA, team collaboration, analytics, and developer APIs.

The self-hosted Community edition is free under MIT, while cloud and enterprise tiers provide managed hosting and additional capabilities. Integrations and SDKs let teams fit CVAT into automated data pipelines.

Target market

CVAT targets computer-vision teams, ML data-operations groups, researchers, and organizations working on autonomous and robotics data. It is less suited to text-only NLP or audio annotation needs.

Buyer personas

End users

Annotators and data scientists labeling visual data.

Buyers

ML/data-ops leads choosing an annotation platform.

Key influencers

Computer-vision engineers and researchers.

Ideal customer profile

Vision AI teams needing precise, scalable image, video, and 3D annotation, with the option to self-host for free.

Funding & performance

Verify current funding details with the vendor or public sources.

Pros & cons

Pros

  • Free and open source (MIT) self-hosted
  • Supports 2D and 3D annotation tasks
  • AI-assisted labeling speeds work
  • Built-in QA, collaboration, and analytics
  • Developer APIs and SDK
  • Large, active community and frequent releases

Cons

  • Self-hosting requires setup and maintenance
  • UI can be complex for beginners
  • Focused on vision, not text/audio
  • Advanced cloud features are paid
  • Scaling annotation teams needs configuration

Pricing plans

Community (Self-hosted)
$0 / month
  • Full annotation toolset
  • MIT license
  • Self-hosting
  • Developer APIs
Cloud
Paid / month
  • Managed hosting
  • AI-assisted labeling
  • Collaboration and analytics
Enterprise
Custom
  • Advanced security
  • Priority support
  • Labeling services

Key features

API
Team collaboration
Self-hosted
Multi-language
Integrations
Python SDK, REST API, Roboflow, Hugging Face, cloud storage
Input types
image
Output types
text
Best For
Image and video annotation, 3D/LiDAR labeling, Computer-vision datasets

Compare key features

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Feature
CVAT
Label Studio
Labelbox
Pricing
Freemium
Freemium
Freemium
Free plan
Yes
Yes
Yes
Free trial
Yes
Yes
No
API
Yes
Yes
Yes
Self-hosted
Yes
Yes
No
Team support
Yes
Yes
Yes

Frequently asked questions

Is CVAT free?+

Yes. The self-hosted Community edition is fully free and open source under the MIT license, with paid cloud and enterprise tiers available.

What annotation types does CVAT support?+

It supports bounding boxes, polygons, polylines, keypoints, semantic segmentation, video tracking, and 3D cuboids for LiDAR and point clouds.

Does CVAT have AI-assisted labeling?+

Yes. CVAT offers AI-assisted labeling to speed up annotation, along with QA and analytics features.

Who maintains CVAT?+

CVAT was originally developed by Intel and is now maintained by CVAT.ai, with a large open-source community.

Can I integrate CVAT into a pipeline?+

Yes. CVAT provides developer APIs and a Python SDK, plus integrations with tools like Roboflow and cloud storage.

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