# cvat-ai/cvat

Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, and enterprise products, as well as labeling services, for image, video, and 3D annotation with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

Repository: https://github.com/cvat-ai/cvat
Canonical: https://ross.abutalabs.com/products/cvat
Homepage: https://www.cvat.ai
Language: Python
License: MIT
License Family: permissive
Topics: video-annotation, computer-vision, computer-vision-annotation, deep-learning, image-annotation, annotation-tool, annotation, labeling, labeling-tool, image-labeling, image-labelling-tool, boundingbox, image-classification, annotations, imagenet, tensorflow, semantic-segmentation, dataset, object-detection, pytorch
Last push: 2026-08-26T18:28:52+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 100
- inputs: {"age_days": 2987, "days_push": 7, "days_rel": 7, "gap_med": 8.0, "n_releases_24m": 71}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 16600, forks 3816 (observed 2026-08-28T04:11:16.833241+00:00)

## What it is
CVAT (Computer Vision Annotation Tool) is an open-source, self-hosted platform for annotating images, videos, and 3D point clouds to build high-quality training datasets for computer vision AI. It supports bounding boxes, polygons, masks, skeletons, and tracks, with AI-assisted labeling, team collaboration, quality assurance workflows, cloud storage integration, and developer SDKs/APIs.

## Use cases
- annotate images with bounding boxes for object detection training
- label video frames with object tracking
- create semantic segmentation masks for datasets
- annotate 3D point clouds from lidar
- run AI-assisted auto-labeling with SAM or custom models
- manage a team of annotators with review and QA workflows
- self-host a data labeling platform with full data control
- export annotations in formats like COCO, YOLO, or Pascal VOC

## When to choose
- you need a battle-tested, widely adopted annotation tool for computer vision datasets
- you must keep sensitive visual data on your own infrastructure
- you need multi-user collaboration, roles, and review pipelines for labeling teams
- you want to plug in your own ML models to accelerate labeling
- you need image, video, and 3D point cloud annotation in one platform

## When to avoid
- you only need simple text or tabular data labeling rather than visual data
- you want a lightweight single-user desktop annotation tool without server deployment
- you need audio annotation, which is not yet supported
- you cannot operate Docker-based multi-service deployments

## Facets
- artifact type: application
- maturity: active
- function: image-processing, computer-vision, machine-learning, data-science, web-framework, api-framework, self-hosted, developer-tools
- domain: computer-vision, machine-learning, data-science, image-processing, artificial-intelligence, deep-learning
- platform: self-hosted, python, cross-platform, cloud
- tags: data-annotation, labeling, image-annotation, video-annotation, 3d-annotation, bounding-boxes, semantic-segmentation, object-detection, pose-estimation, object-tracking, point-clouds, dataset-management, ai-assisted-labeling, quality-assurance, team-collaboration, sam, nuclio-serverless, sdk, mit-license, video, docker, web-server

## Member repositories
- cvat-ai/cvat (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:16.833241+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:04:50.837399+00:00, confidence not recorded.
  - readme: https://github.com/cvat-ai/cvat (fetched 2026-08-28T04:11:16.833241+00:00, sha f86b08f268eb)
  - homepage: https://www.cvat.ai (fetched 2026-08-29T08:02:14.013729+00:00, sha 66f1406534d6)
  - site_page: https://docs.cvat.ai/docs/administration/basics/installation (fetched 2026-08-29T08:02:14.023772+00:00, sha b62c1c2a2d7e)
  - site_page: https://docs.cvat.ai/docs (fetched 2026-08-29T08:02:14.030967+00:00, sha 6a879c5fef45)
  - site_page: https://docs.cvat.ai/docs/contributing (fetched 2026-08-29T08:02:14.047259+00:00, sha 7b8e2182239c)
  - site_page: https://www.cvat.ai/about (fetched 2026-08-29T08:02:14.049107+00:00, sha e8c2e8cf23b1)
  - site_page: https://www.cvat.ai/pricing/cvat-online (fetched 2026-08-29T08:02:14.026778+00:00, sha d5600cdbf64d)
  - site_page: https://www.cvat.ai/pricing/enterprise (fetched 2026-08-29T08:02:14.029108+00:00, sha f2a425a7c7a5)
  - site_page: https://www.cvat.ai/resources/changelog (fetched 2026-08-29T08:02:14.039976+00:00, sha 7bc4b20ed3af)
  - site_page: https://www.cvat.ai/resources/changelog-category/feature-highlights (fetched 2026-08-29T08:02:14.043888+00:00, sha 3b34003ef14b)
- Data as of 2026-08-30T08:39:29.467469+00:00.