Select the Right Training Data for Labeling with Lightly

Overview

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.

How Label Studio Connects with Lightly

Lightly selects the most informative samples and can push them directly to a Label Studio project, or you can sync via shared storage. Annotate in Label Studio, export results to the same bucket, and retrain.

• Lightly → Label Studio integration guide: lightly-docs.readme.io/docs/labelstudio-integration
• Label Studio integration overview: labelstud.io/integrations/platform/lightly-ai
• Storage setup: labelstud.io/guide/storage.html
• Webhooks: labelstud.io/guide/webhooks.html