What is Supervisely used for?

Supervisely is a platform for annotating images, videos, LiDAR, and DICOM datasets, with tools for data management, collaboration, and neural network training. It is a good fit for annotating images, videos, LiDAR, and DICOM datasets; training and serving neural networks; and generating synthetic data for computer vision.

Is Supervisely open source?

Yes. Supervisely is open source under the Apache-2.0 licence. Its source code is on GitHub at supervisely/supervisely and is written mainly in Python.

Yes. Supervisely is open source, so the software itself is free to use. A managed cloud version is also available.

Can I self-host Supervisely?

Yes. Supervisely can be self-hosted on your own server or infrastructure.

What is Supervisely an alternative to?

Supervisely is an open-source alternative to V7 and Landing AI. Other open-source alternatives to V7 include Label Studio and CVAT.

Is Supervisely actively maintained?

Yes. The most recent commit to Supervisely was on 13 October 2026, and the latest release is v6.74.49, published on 13 October 2026. The project has 545 stars on GitHub.

Supervisely (supervisely/supervisely): open-source AI tools

About Supervisely

Supervisely is a platform that supports annotation of images, videos, 3D clouds, LiDAR, and DICOM datasets. It includes labeling toolboxes with features like AI-assisted labeling and custom labeling UIs.

The platform offers data management, quality assurance, user collaboration, and security permissions. It also provides capabilities for training, serving, and applying neural networks, including querying, transforming, and generating synthetic data.

Key features

Image labeling with annotation suite
Video labeling with AI tracking and segmentation
3D clouds and LiDAR labeling with sensor fusion
DICOM and volumetric labeling for medical scans
Interactive AI-assistance for labeling automation
Data management, quality assurance, and user collaboration

Good fit for

Annotating images, videos, LiDAR, and DICOM datasets
Training and serving neural networks
Generating synthetic data for computer vision

Built with: Python tools
Tags: computer-vision; annotation; labeling; neural-networks; data-management; dicom

Supervisely: questions and answers

What is Supervisely used for?: Supervisely is a platform for annotating images, videos, LiDAR, and DICOM datasets, with tools for data management, collaboration, and neural network training. It is a good fit for annotating images, videos, LiDAR, and DICOM datasets; training and serving neural networks; and generating synthetic data for computer vision.
Is Supervisely open source?: Yes. Supervisely is open source under the Apache-2.0 licence. Its source code is on GitHub at supervisely/supervisely and is written mainly in Python.
Is Supervisely free?: Yes. Supervisely is open source, so the software itself is free to use. A managed cloud version is also available.
Can I self-host Supervisely?: Yes. Supervisely can be self-hosted on your own server or infrastructure.
What is Supervisely an alternative to?: Supervisely is an open-source alternative to V7 and Landing AI. Other open-source alternatives to V7 include Label Studio and CVAT.
Is Supervisely actively maintained?: Yes. The most recent commit to Supervisely was on 13 October 2026, and the latest release is v6.74.49, published on 13 October 2026. The project has 545 stars on GitHub.