This section contains advanced documents for CVAT users


Creating and exporting projects in CVAT.


Using organization in CVAT.


Overview of available search options.

Shape mode (advanced)

Advanced operations available during annotation in shape mode.

Track mode (advanced)

Advanced operations available during annotation in track mode.

3D Object annotation (advanced)

Overview of advanced operations available when annotating 3D objects.

Attribute annotation mode (advanced)

Advanced operations available in attribute annotation mode.

Annotation with rectangles

Annotation with polygons

Guide to creating and editing polygons.

Annotation with polylines

Guide to annotating tasks using polylines.

Annotation with points

Guide to annotating tasks using single points or shapes containing multiple points.

Annotation with ellipses

Guide to annotating tasks using ellipses.

Annotation with cuboids

Guide to creating and editing cuboids.

Annotation with tags


AI Tools

Overview of semi-automatic and automatic annotation tools available in CVAT.

OpenCV tools

Guide to using Computer Vision algorithms during annotation.

Automatic annotation

Guide to using the automatic annotation of tasks.

Backup Task and Project

Export/import datasets and upload annotation

This section explains how to download and upload datasets (including annotation, images, and metadata) of projects, tasks, and jobs.

Task synchronization with a repository


List of annotation formats supported by CVAT.

XML annotation format


List of available mouse and keyboard shortcuts.


Guide to using the Filter feature in CVAT.


Guide to using the Review mode for task validation.

Context images for 2d task

Adding additional contextual images to a task.

Shape grouping

Grouping multiple shapes during annotation.

Analytics Monitoring

Using Analytics to monitor usage statistics.

Command line interface (CLI)

Guide to working with CVAT tasks in the command line interface. This section on GitHub.

Simple command line to prepare dataset manifest file

This section on GitHub

Data preparation on the fly

Serverless tutorial