Label Studio

Label Studio is a powerful open-source tool that supports the labeling of many unstructured and structured data types, including templates for Computer Vision, LLMs, Recommendation Systems and many more.

It provides an easy-to-use and intuitive UI with various templates you can easily customize. DagsHub Annotations – our integration with Label Studio provides a fully configured labeling workspace, with a built-in Label Studio instance fired up and ready to go.

How does the integration of DagsHub with Label Studio work?

Every repository on DagsHub is configured with a labeling workspace based on Label Studio.

When you create a data engine dataset or datasource, you can easily send any datapoint to be annotated from the Python Client, the UI, and our locally support Voxel51 visualization instance.

The workspace has full access to the project files, making them available to annotate directly from DagsHub's interface. To scale your work, DagsHub Annotations enable you to create multiple labeling projects on the workspace that are isolated from one another.

Once you're done labeling, you can save the annotations to your Data Engine enrichments, which are fully versioned. This enables you to return to previous annotation versions, compare them, and select the best option to train your model on.

Using Label Studio on DagsHub

The easiest way to learn how to use Label Studio on DagsHub can be found in this guide. You can also learn more about DagsHub Annotations.