AI TOOL PROFILE
CVAT – Computer Vision Annotation Tool
- Data and Analytics
- Computer Vision
- Machine learning teams
- AI practitioners
- Software companies building computer vision models
- Organizations requiring self-hosted data labeling
Pricing
CVAT Online starts at $33/month for solo users ($23/month billed annually), with Team plans starting at $66/month. An Enterprise edition starts at $12,000/year, and a free open-source Community edition is available.
At a glance
- Best for
- Machine learning teams, AI practitioners, Software companies building computer vision models, Organizations requiring self-hosted data labeling
- Key use cases
- Healthcare Imaging, Retail and Logistics, Autonomous Systems, Industrial Manufacturing, Agricultural Monitoring
- Integrations
- AWS S3, Google Cloud Storage, Azure Blob Storage, Hugging Face, Roboflow
- Official website
- Visit CVAT – Computer Vision Annotation Tool official website
How AI is used
CVAT is a visual data annotation platform used to prepare datasets for computer vision tasks. It provides tools for labeling images, videos, and 3D point clouds, supporting workflows from individual research to industrial projects.
The tool is designed for AI practitioners and software companies, including those building models for autonomous vehicles, healthcare, and manufacturing. It supports manual labeling and AI-assisted automation.
Buyers can choose between a free open-source Community edition, a SaaS-based Online version for solo users and teams, or a self-hosted Enterprise edition for organizations requiring specific data control and security.
Buyers should confirm whether they require a hosted solution or a self-managed environment and verify if specific AI model integrations, such as SAM 2 or SAM 3, align with their project requirements.
Key Features
Multi-format Annotation Tools
Supports bounding boxes, polygons, points, skeletons, cuboids, and trajectories for various data types.
Auto-Annotation AI
Integrated AI models, including SAM 2 and SAM 3, that help automate image and video segmentation.
Cloud Storage Integration
Supports storage in AWS S3, Google Cloud Storage, and Azure Blob Storage.
Enterprise Security Controls
The Enterprise edition includes Single Sign-On (SSO), role-based access controls (RBAC), and audit logs.
Quality Assurance Workflows
Supports manual review, ground truth jobs, and honey pots to help verify annotation accuracy.
3D Data Support
Supports labeling of 3D point clouds and LiDAR data using 3D cuboids.
Use Cases
Healthcare Imaging
Labeling of medical scans for disease detection and tumor segmentation.
Retail and Logistics
Creating datasets for product recognition, shelf management, and shoplifting prevention.
Autonomous Systems
Labeling pedestrian and vehicle tracking data for autonomous driving and robotics.
Industrial Manufacturing
Identification of production defects and employee activity tracking.
Agricultural Monitoring
Annotation of crops and livestock using drone and field imagery.
Integrations
- AWS S3
- Google Cloud Storage
- Azure Blob Storage
- Hugging Face
- Roboflow
FAQ
What is the difference between CVAT Community and Enterprise?
- The Community edition is a free, self-hosted version for basic manual annotation. The Enterprise edition adds SSO, RBAC, advanced analytics, SAM integration, and dedicated technical support.
Does CVAT support 3D data?
- Yes, CVAT supports 3D point clouds and LiDAR data, including the use of 3D cuboids for object detection.
Can CVAT be deployed on-premises?
- Yes, both the Community edition and the Enterprise edition can be self-hosted on your own infrastructure, including air-gapped environments for the Enterprise version.
How does the auto-annotation feature work?
- CVAT integrates AI models such as SAM 2 and SAM 3 to help automate the segmentation of images and videos, which may reduce manual labeling work.
Source category: Data & Analytics
Source subcategory: Computer Vision
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