The Prompts tool leverages ChatGPT to help you evaluate and refine your LLM prompts. You can also use Prompts to generate predictions for automating your labeling process, and to quickly bootstrap labeling projects.
For more information, see Automate Data Labeling with HumanSignal and our Prompts documentation.
The Label Studio UI has been upgraded with updated colors and fonts, giving it a sleek new look while maintaining the same intuitive navigation you're familiar with. All Label Studio tools, features, and settings are still in the same place, ensuring a smooth transition.
Improved performance on the Projects list page due to improvement on the API level.
Fixed an issue with Google Cloud Storage when the connection has the Use pre-signed URLs option disabled. In these situations, Google was sending pre-signed URLs with the format https://storage.googleapis.com
rather than sending BLOBs.
With this fix, Google Cloud Storage will begin returning BLOBs/base64 encoded data when Use pre-signed URLs is off. This means that Label Studio will start reading data from Google Cloud Storage buckets, which can result in large amounts of data being sent to your Label Studio instance - potentially affecting performance.
When using the annotator performance report, you can now filter by project or workspace.
HIDE_STORAGE_SETTINGS_FOR_MANAGER
environment variable set to True
, Managers will now be able to sync data from external storage as necessary rather than request assistance from an Admin user.
There is a new setting that can restrict users from uploading data directly to Label Studio, forcing them to only use cloud storage. If you would like to enable this setting, set the DISABLE_PROJECT_IMPORTS
environment variable to True
.
LABEL_STUDIO_
appearing in context logs.DEBUG
. The default log level is now INFO
.