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CVAT – Computer Vision Annotation Tool - The open data annotation platform for AI | Product Hunt
Open Data
Annotation Platform
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
✨ CVAT.ai was founded to support development of Computer Vision Annotation Tool.
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Built by and for machine learning professionals. 
CVAT’s blazing-fast, intuitive user interface, was designed by working closely with real-world teams solving real-world problems.
Trusted by companies big and small
From medical to retail to autonomous vehicles, world’s most ambitious AI teams use CVAT as a part of their AI workflow every day.
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Improving Industries
With AI

Train a neural network to recognize signs of disease in the early stages.

Shelf management, Retail logistics, Product recognition, Shoplifting prevention, Cashierless checkouts and more.

Monitor agricultural crops and livestock, analyze and optimize roads and traffic layouts, or remotely track dangerous environments.

Analyze and correct athlete motions, test new training schemes, develop AI coaching, and monitor overall fitness.

Pedestrian and vehicle tracking, driver's action recognition and many other scenarios.

Tracking employees activity, searching for production defects, optimization in production resources, etc.

CVAT is the best choice for your vision task.
Image Classification
Image Classification
Object Detection
Vision Data - object detection
Segmentation
Vision Data - semantic/instance segmentation
Point Clouds/LIDAR
Point Clouds, LIDAR
3D Cuboids
Vision Data - 3D Cuboids
Video Annotation
Video Annotation
Skeleton
Skeleton
FEATURES
Advanced features for state-of-the-art
workflows
Auto Annotation
Annotate data up to 10x faster by using the integrated AI or add your own model.
Every Tool In The Box
Bounding boxes, polygons, points, skeletons, cuboids, trajectories, and more.
Your Data In the Cloud
Store datasets privately, in any format, in the cloud. We support AWS S3, Google Cloud Storage, and Azure Blob Storage.
Algorithmic Assistance
Annotate more efficiently with automated interactive algorithms like intelligent scissors, histogram equalization, and more.
Management & Analytics
Gain actionable insights with metrics such as annotator working hours, objects per hour and more.

Auto-Annotation

Annotate data up to 10x faster by using the integrated AI or add your own model.

Every Tool In The Box

Bounding boxes, polygons, points, skeletons, cuboids, trajectories, and more.

Your Data In the Cloud

Store datasets privately, in any format, in the cloud. We support AWS S3, Google Cloud Storage, and Azure Blob Storage.

Algorithmic Assistance

Annotate more efficiently with automated interactive algorithms like intelligent scissors, histogram equalization, and more.

Management & Analytics

Gain actionable insights with metrics such as annotator working hours, objects per hour and more.

Cloud
Store .image datasets for your _tasks.
SEE INSTRUCTIONS
Analytics
Automatic generated_ {analytics} for your projects.
SEE INSTRUCTIONS
19 Annotation Formats
✦ PASCAL VOC and mask
✦ CVAT
✦ YOLO
✦ Datumaro
✦ TF detection API
✦ LabelMe
✦ CamVid
✦ MOT
✦ WIDER Face
✦ MOTS
✦ VGGFace2
✦ COCO
✦ Cityscapes
✦ Market-1501
✦ KITTI
✦ ICDAR13/15
✦ LFW
✦ Open Images
HIDE
Versatility
Nineteen✧
Annotations
formats_
We’ve make it easier for you to work with different kinds of formats.
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Community
Need Help?
\ Go get help ➔ at our Slack channel.
OPEN SLACK CHANNEl
19 Annotation Formats
✦ PASCAL VOC and mask
✦ CVAT
✦ YOLO
✦ Datumaro
✦ TF detection API
✦ LabelMe
✦ CamVid
✦ MOT
✦ WIDER Face
✦ MOTS
✦ VGGFace2
✦ COCO
✦ Cityscapes
✦ Market-1501
✦ KITTI
✦ ICDAR13/15
✦ LFW
✦ Open Images
HIDE
Community
Discord channel
Get your questions answered in our discord.
DISCORD COMMUNITY
Community
Want to contribute?
You are welcome! Create a PR on our GitHub.
GO TO CONTRIBUTION PAGE
Sudhir
Kumar Singh
Vimaan uses CVAT as its primary data annotation tool and selected this tool after a thorough evaluation of alternative tools both in open source and closed domain.
Ph.D. - Chief Technology Officer
Gary
Bradski
Gary Bradski is an American scientist, engineer, entrepreneur, and author. He co-founded Industrial Perception, a company that developed perception applications for industrial robotic application (since acquired by Google in 2012 [2]) and has worked on the OpenCV Computer Vision library, as well as published a book on that library.
Like OpenCV, CVAT has grown organically through the community. In computer vision and AI data is everything. Without the right data, none of the current or future of AI is possible. CVAT is the best data annotation tool around, and we’re proud to have them with us at OpenCV.AI.
President of OpenCV
Chris
Hall
CVAT supports the widest variety of computer vision annotation tasks of any tool we have used or evaluated in the years I have worked in computer vision - classification, tracking, object detection, pose, attributes, and more! Gone are the days where we need to design our own labeling tool in-house to support a critical labeling feature. CVAT has multiple deployment paradigms which allow: working on locally in a development environment, deploying for a small team, or even deploying to a large team. It has a large, vibrant, active, responsive, and open community. The project’s documentation is extensive and helpful for developers and annotators alike. Many third party tools integrate with CVAT providing advanced features while not locking users into one suite of tools. The open-source model is empowering.
Chris
Hall
CVAT supports the widest variety of computer vision annotation tasks of any tool we have used or evaluated in the years I have worked in computer vision...
Computer Vision Engineer — Vivint Smart Home
CVAT supports the widest variety of computer vision annotation tasks of any tool we have used or evaluated in the years I have worked in computer vision - classification, tracking, object detection, pose, attributes, and more! Gone are the days where we need to design our own labeling tool in-house to support a critical labeling feature. CVAT has multiple deployment paradigms which allow: working on locally in a development environment, deploying for a small team, or even deploying to a large team. It has a large, vibrant, active, responsive, and open community. The project’s documentation is extensive and helpful for developers and annotators alike. Many third party tools integrate with CVAT providing advanced features while not locking users into one suite of tools. The open-source model is empowering.
Save Time, Annotate Better
Join the over 60,000 developers worldwide who trust CVAT with their data everyday, and get more done in less time.