CVAT
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About
CVAT (Computer Vision Annotation Tool) is a high-performance, open-source platform specifically designed for labeling and managing datasets for machine learning. Originally developed by computer vision engineers, it serves as a robust data engine that supports a wide variety of data types, including standard images, video sequences, and complex 3D LiDAR point clouds. With over 300,000 teams and 200,000 developers utilizing the platform globally, it has established itself as an industry-standard tool for preparing the ground truth data necessary to train state-of-the-art computer vision models. The platform is highly versatile, offering both a cloud-based SaaS version (CVAT Online) and a self-hosted option for organizations with strict data residency requirements. Technically, CVAT is built to optimize the speed and accuracy of the annotation process. It features advanced AI-assisted tools such as the Segment Anything Model (SAM 2 and 3), which allows users to automate complex segmentation and tracking tasks with high precision. In practice, this automation can speed up annotation workflows by up to 10x compared to manual methods. The tool includes a comprehensive suite of annotation shapes including bounding boxes, polygons, polylines, and points, alongside specialized features for object tracking in video and temporal interpolation. Beyond individual labeling, it provides project management layers, role-based access controls, and detailed analytics to help managers monitor team performance and data quality. CVAT is best suited for computer vision engineers, data scientists, and ML teams working in fields such as autonomous driving, medical imaging, and retail analytics. While the open-source version is ideal for solo developers and research projects, the Enterprise and Team versions are tailored for larger organizations that require scalability and security. What differentiates CVAT from many competitors is its transparent open-source foundation combined with enterprise-grade features like SSO, audit logs, and on-premise deployment. It is also rigorously compliant with major data protection standards including GDPR, CCPA, and the EU AI Act, making it a reliable choice for professional environments where data security and regulatory adherence are non-negotiable.
Pros & Cons
Supports a comprehensive range of data including 2D images, video, and 3D point clouds.
Integrated AI agents like SAM 2 significantly reduce manual labor for complex segmentations.
Open-source foundation provides high transparency and a strong global community for support.
Compliant with international data standards including GDPR, CCPA, and the EU AI Act.
Offers flexible deployment options through both cloud SaaS and secure self-hosted enterprise packages.
Free plan users are restricted to exporting annotations without the source images.
Advanced security features like SSO and audit logs are only available on paid tiers.
The Free plan is heavily limited to a maximum of one project and three tasks.
Dedicated customer support is not provided for the free community or solo users.
Use Cases
Machine learning engineers can use SAM 2 for video segmentation to automatically track and label objects across frames in seconds.
Autonomous driving researchers can annotate LiDAR point clouds and 3D data to train self-driving perception models.
Project managers can monitor labeling progress and data quality using the platform's built-in analytics and manual review workflows.
Enterprise teams can deploy the platform on-premise to ensure sensitive proprietary data never leaves their internal network.
Solo developers can utilize the free online version to experiment with small datasets using full API access and community support.
Platform
Task
Features
• on-premise deployment
• video object tracking
• cloud storage integration
• api and webhooks
• project analytics
• 3d data support
• sam 2/3 segmentation
• auto-annotation
FAQs
Can I use AI to speed up the annotation process in CVAT?
Yes, CVAT features integrated AI tools like SAM 2 and SAM 3 for image and video segmentation, which can speed up workflows by up to 10x. You can also integrate your own custom machine learning models into the platform for specialized auto-annotation.
What types of data can I annotate using CVAT?
CVAT supports a wide range of data formats including standard 2D images, video files for temporal tracking, and 3D point cloud data for LiDAR-based tasks. This makes it suitable for diverse industries ranging from medical imaging to autonomous vehicle development.
What are the limitations of the CVAT Free plan?
The Free plan is limited to 2 members, 1 project, and 3 tasks, with a storage limit of 1 GB. Additionally, free users can only export annotation files and do not have the option to export the original images with their annotations.
Is it possible to host CVAT on my own private infrastructure?
Yes, the CVAT Enterprise plan is specifically designed for organizations that want to host the platform securely within their own infrastructure. This option provides maximum control over data security and compliance with internal protocols.
Does CVAT support Single Sign-On (SSO)?
SSO is available for all paid Team and Enterprise plans. It allows organizations to manage user access more securely and streamline the login process for large teams of annotators.
Pricing Plans
Team Monthly
USD33.00 / per user / per month• 2 - 50 members
• Up to 100 projects and 2500 tasks
• Up to 250 GB internal storage
• Annotations & images export
• SAM 2 and SAM 3 support
• SSO and Audit logs
• Up to 100,000 AI agent calls/month
Team Yearly
USD23.00 / per user / per month• Everything in Team Monthly
• 30% savings compared to monthly
• Up to 50 members
• Up to 2500 tasks
• SSO and Audit logs
Enterprise
USD12000.00 / per year• On-premise hosting
• Custom seat and storage limits
• Enhanced security and compliance
• Priority dedicated support
• Role-based access controls
Free
Free Plan• 1 - 2 members
• 1 project and 3 tasks limit
• 1 GB internal storage
• API Access
• Annotations-only export
• 100 internal AI agent calls/month
• Community support
Job Opportunities
Senior Python Developer
Accelerate computer vision development with AI-powered auto-annotation, collaborative workflows, and support for 2D/3D datasets for machine learning teams.
Benefits:
Career development opportunities
Flexible work schedule
Freedom to work remotely
Vacation and sick leave policies
Medical insurance
Experience Requirements:
Proven experience developing Python SDKs/libraries
Strong understanding of HTTP APIs, OpenAPI/Swagger
Experience with Python packaging and tooling system
Strong Git/GitHub workflow experience
Experience with major platforms (Windows, Linux, MacOS)
Other Requirements:
English proficiency (written & spoken, minimum B2)
Ability to design libraries
Experience writing developer documentation and tutorials
Responsibilities:
Maintain and evolve the server HTTP API
Maintain and extend the existing Python SDK
Support automatically generated low-level SDKs
Design and develop high-level SDK abstractions
Write clear developer documentation
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Copywriter
Accelerate computer vision development with AI-powered auto-annotation, collaborative workflows, and support for 2D/3D datasets for machine learning teams.
Benefits:
Career advancement and skill development
Flexible work schedule
Freedom to work remotely
Vacation and sick leave policies
Comprehensive medical insurance
Experience Requirements:
Minimum 2-3 years of experience in SEO copywriting or technical writing
Other Requirements:
Portfolio required
Strong understanding of technical concepts in IT
Excellent written and verbal communication skills
Ability to analyze and interpret data from SEO tools
Responsibilities:
Write and optimize high-quality technical content
Balance complex technical details with user-friendly language
Conduct in-depth research on current IT trends
Adapt articles for LinkedIn, Medium, and Facebook
Video content creation (nice to have)
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Frontend Developer
Accelerate computer vision development with AI-powered auto-annotation, collaborative workflows, and support for 2D/3D datasets for machine learning teams.
Benefits:
Career development opportunities
Flexible work schedule
Freedom to work remotely
Vacation and sick leave policies
Medical insurance
Experience Requirements:
Exceptional JavaScript skills (ES6/7)
3+ years of experience with ReactJS
Good knowledge of web API's (DOM, Canvas, Storage, Web Workers)
Proficient in software development fundamentals and design patterns
Experience with Git and GitHub
Other Requirements:
Good English (at least intermediate)
Understanding of cross-browser compatibility and web standards
Understanding of asynchronous programming in JavaScript
Responsibilities:
Designing, developing, and deploying scalable modular code
Researching new tools and keeping up-to-date on trends
Designing, developing, and testing UI and API integration
Working within cross-functional teams to turn stakeholder feedback into products
Ensuring high performance and availability of applications
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Ratings & Reviews
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