Community

Do you want to share your knowledge with the community? We’d love for you to contribute content!

How TotalEnergies gave their oil rig engineers a cutting-edge tool for predicting and preventing critical equipment failures.

The 2022 Label Studio Community Survey shows how data teams are increasing investment in data preparation and management to achieve better ML/AI outcomes.

The Label Studio user community survey is now live! Your feedback is critical to improving the product and helping bring new users into the community.

The Label Studio user community survey is now live! Your feedback is critical to improving the product and helping bring new users into the community.

From time series to active learning to the Python SDK, check out the top 10 features on the path to 10,000 GitHub stars and growing!

See what data labeling can learn from opossums and what Heidi means to Label Studio.

An interview with Unbiased AI CEO Sukesh Tedla about how to create a transparent, trustworthy data platform for AI with blockchain technology.

Introducing the community reward program for the Label Studio open source data labeling tool!

Effective Active Learning Techniques ft. Lightly co-founder Igor Susmelj, ML Engineer Malte Ebner & Heartex CTO Nikolai Liubimov.

Effective Active Learning Techniques ft. Lightly co-founder Igor Susmelj, ML Engineer Malte Ebner & Heartex CTO Nikolai Liubimov.

Learn the advantages of using Bayesian active learning (BaaL) versus regular active learning.

Featuring Machine Learning expert and active Label Studio community member Aaron Soellinger. Hosted by Heartex's Head of Open Source Community Michael Ludden.

We want to start highlighting community projects for the purposes of informing and inspiring other Label Studio users and community members.