Label Studio

Label Studio is the leading open-source data labeling platform for creating training datasets for machine learning models, supporting text, images, audio, video, and time series annotation with a flexible labeling interface. It provides pre-built templates for common ML tasks — object detection, NER, sentiment analysis, semantic segmentation — and enables custom labeling workflows for specialized applications. ML teams at research institutions, AI startups, and enterprises use Label Studio to build the high-quality labeled datasets that determine model accuracy, with collaborative features that enable efficient labeling at scale across distributed annotation teams.