Label Studio 1.12.0 🚀Automate & Evaluate Labeling Predictions Using LLMs & ML Models
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Select the Right Training Data for Labeling with Lightly


Lightly selects the subset of your data with the most significant impact on model accuracy, allowing you to improve your model iteratively by using the best data for retraining. Lightly can integrate with Label Studio to choose the best images for annotators to label in an active learning workflow. Lightly is designed to seamlessly plug into your favorite storage, tooling, and service providers to build an automated data pipeline for machine learning.

Related Integrations

Unstructured data ingestion and preprocessing

Amazon Sagemaker

Integrate Label Studio with AWS Sagemaker


Uncover data issues and errors


Deploy, run and monitor ML models