Community

When Stop the Traffik lost years of labeled data, they needed a faster, smarter way to rebuild. With Label Studio, they transformed their approach—bringing structure to messy reports, integrating AI for pre-labeling, and uncovering trafficking patterns hidden in plain sight.

Shamsuddeen Hassan Muhammad and his team are advancing African NLP by building language resources for low-resource languages like Hausa. With Label Studio, they scale their efforts to create high-quality datasets for sentiment analysis, hate speech detection, and emotion recognition, making AI more inclusive.

Learn how Ameru is using Label Studio to power their smart garbage bins as they work to accelerate an economically sustainable zero-waste future.

Messaging on the Label Studio Community Slack is currently unavailable. We are working to resolve the issue.

HumanSignal is about the signal that humans provide to models, helping them to adapt, learn, and align with the needs of organizations and society at large.

Visit discuss.labelstud.io to see solutions to frequently asked questions, tips and tricks, and helpful discussions across the Label Studio Community. These have all been logged with the help of a new Archivist Bot, which will help log popular threads from within the existing community Slack.

Heartex co-founder and CEO Michael Malyuk recently did an AMA over at BentoML’s Slack community to talk through a variety of questions around data labeling, MLOps, and workflows that combine the two.

Vikram Chatterji, co-founder of ML data intelligence company Galileo just published a framework for massively increasing the velocity of your ML workflow using a tight integration between Label Studio and Galileo.

Join the Label Studio Community Team for our Community Town Hall Series on April 13th at 12PM ET. We’ll be sharing what’s happening in and around the community including future plans, our latest release, and more!

Learn more about recent advances in RLHF, one of the essential training methods for building large generative models like ChatGPT.

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.

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.

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