COCO Annotator
7.4#5 in ai image annotation toolsFree planFree planWebAPILinuxSelf-hosted
VisitCOCO Annotator vs Label Studio
Label Studio
8.2#2 in image annotation softwareFrom $99 a monthFree planWebAPILinuxmacOS
VisitWhat both publish
| Fact | COCO Annotator | Label Studio |
|---|---|---|
| Deployment | The documentation provides production and development Docker builds, and describes the production build as stable and suitable for a large user base. | Label Studio can be installed on premises or in the cloud using pip, Docker, Ubuntu, source, or Anaconda. |
| License | The repository is distributed under the MIT License, including commercial use rights with attribution. | The public Label Studio repository is released under the Apache-2.0 license. |
| Purpose | COCO Annotator is a web-based image annotation tool for creating training data for image localization and object detection. | Label Studio is an open source data labeling tool for labeling multiple data types and connecting machine learning models for predictions or active learning. |
COCO Annotator plans
- MIT-licensed softwareFree
- Open-source self-hostedFree
Label Studio plans
- Community EditionFree
- Starter Cloud$99 a month
- EnterprisePriced on request
Pick COCO Annotator if…
COCO Annotator suits teams preparing labeled image data for object detection or localization. It is for users comfortable running a self-hosted service with Docker and docker-compose.
Pick Label Studio if…
It suits teams preparing labeled datasets across several media types, from individual community users to organizations needing managed cloud or on-prem deployment. Developers can use its APIs, Python SDK, and webhooks to connect labeling work to other systems.