CVAT
Industry-leading data engine for machine learning annotation.
Pricing
Free tier
Flat rate
Adoption
↗RisingLicense
Open Source
Data freshness
Verified · Jul 16, 2026Overview
What is CVAT?
CVAT is a powerful tool for annotating images and videos used in machine learning projects. It supports various types of annotations, making it suitable for teams at any scale working with large datasets.
Key differentiator
“CVAT stands out with its comprehensive support for various annotation types, collaborative features, and scalability options, making it a robust choice for large-scale machine learning projects.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
CVAT primarily focuses on its own ecosystem, lacking native support for many popular ML frameworks and data pipelines
Requires manual configuration of dependencies and services which can be error-prone without clear documentation
Fit analysis
Who is it for?
✓ Best for
Teams working on large-scale machine learning projects requiring extensive data annotation.
Projects that need collaborative annotation workflows with multiple contributors.
Developers who require a flexible and scalable solution for handling diverse datasets.
✕ Not a fit for
Small projects where manual annotation is sufficient and does not justify the setup of CVAT.
Real-time data processing tasks as CVAT focuses on batch processing and offline annotation.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with CVAT
Step-by-step setup guide with code examples and common gotchas.