Label Studio 1.5.0 release is here ⚡️
New features to help you customize and manage label sets, new templates, and more!
The latest release of Label Studio is dedicated to dynamic and custom ways to define, change, and load label sets. Big new features include the ability to load labels dynamically, to use images and hypertext for the label name, and for annotators to create new labels as they work through the dataset.
Thank you to the community for your contributions and feedback—together we released 19 new features and 15 bug fixes! Join us for a Label Studio 1.5.0 Community Release Party on Tuesday, June 21 at 10:30 am CT / 17:30 UTC, where we’ll celebrate, demo, give away swag, and answer questions. We can’t wait to see you!
New templates available
Have you checked out the template gallery lately? You can get started quickly with predefined labeling interfaces by use case and data type. There are new templates for Dynamic Labels in the gallery!
How to contribute to Label Studio
All of the feedback, input and contributions from the community are what make Label Studio the best and most flexible platform for data labeling. How you can get involved?
Ask & answer questions, share feedback or post jobs in the slack community
Contribute bug reports or code
Contribute templates or documentation
We’re making new Label Studio swag for contributors and active community members, so now is the time jump in!
ICYMI: Heartex, creators of Label Studio, raised Series A funding
Heartex, the creators of Label Studio, recently raised $25M Series A funding led by Redpoint Ventures on a mission to advance data-centric AI. We’re committed to the open source community, and are investing in the development of the Label Studio community edition, as well as our Enterprise service. That means we’re hiring—please check out our job postings and share with your networks!