CVAT

Industry-leading data engine for machine learning annotation.

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

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

Strength Radar

Supports various…Collaborative wo…High scalability…Customizable wor…

Honest assessment

Strengths & Weaknesses

↑ Strengths

Supports various annotation types including bounding boxes, polygons, and keypoints.

Collaborative work environment for teams.

High scalability to handle large datasets.

Customizable workflows.

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

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Next step

Get Started with CVAT

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →