CVAT

What it is

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.

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.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited integrations with other tools and platforms

   CVAT primarily focuses on its own ecosystem, lacking native support for many popular ML frameworks and data pipelines

2. 02

   Complex setup process for deployment

   Requires manual configuration of dependencies and services which can be error-prone without clear documentation

What it does well

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

• Collaborative work environment for teams.

• High scalability to handle large datasets.

• Customizable workflows.

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.