What is Supervisely used for?

Supervisely is a platform for annotating images, videos, LiDAR and DICOM datasets, collaborating, and training neural networks. It is a good fit for annotating images, videos, LiDAR, and DICOM datasets; training and serving neural networks for computer vision; and generating synthetic data for model improvement.

Is Supervisely open source?

No. Supervisely is proprietary (closed-source) software. In the AI Tools category, open-source options include Supervisely, Argilla and AutoGPT.

Can I self-host Supervisely?

Yes. Although Supervisely is closed source, it can be self-hosted on your own servers, and the vendor also offers a hosted version.

What are some alternatives to Supervisely?

Supervisely competes with Roboflow and SuperAnnotate.

Supervisely: features, pricing and alternatives

About Supervisely

Supervisely is a platform for computer vision tasks. It provides tools for labeling images, videos, 3D clouds, LiDAR, and DICOM medical scans.

The platform includes data management, quality assurance, user collaboration, and security features. It also supports training, serving, and applying neural networks, as well as generating synthetic data.

Key features

Image labeling with an ultimate annotation suite
Video labeling with AI tracking and segmentation
3D clouds and LiDAR labeling with sensor fusion and episodes
DICOM and volumetric medical multi-slice scans labeling
Labeling automation with interactive AI assistance and custom labeling UIs
Neural network training, serving, querying, transforming, visualizing, analyzing, and improving

Good fit for

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

Tags: computer vision; annotation; labeling; neural networks; data management; synthetic data

Supervisely: questions and answers

What is Supervisely used for?: Supervisely is a platform for annotating images, videos, LiDAR and DICOM datasets, collaborating, and training neural networks. It is a good fit for annotating images, videos, LiDAR, and DICOM datasets; training and serving neural networks for computer vision; and generating synthetic data for model improvement.
Is Supervisely open source?: No. Supervisely is proprietary (closed-source) software. In the AI Tools category, open-source options include Supervisely, Argilla and AutoGPT.
Can I self-host Supervisely?: Yes. Although Supervisely is closed source, it can be self-hosted on your own servers, and the vendor also offers a hosted version.
What are some alternatives to Supervisely?: Supervisely competes with Roboflow and SuperAnnotate.