Data Labeling & Annotation Tool
27.0k 2026-04-13
HumanSignal/label-studio
An open-source, multi-type data labeling and annotation tool designed to prepare and improve datasets for machine learning models.
Core Features
Supports various data types: audio, text, images, videos, time series.
Simple and straightforward UI for efficient annotation.
Exports to various model formats.
Customizable to fit specific dataset needs.
Integrates with existing machine learning models and tools.
Quick Start
docker run -it -p 8080:8080 -v $(pwd)/mydata:/label-studio/data heartexlabs/label-studio:latestDetailed Introduction
Label Studio is a versatile open-source data labeling and annotation platform that empowers users to efficiently prepare and refine datasets for machine learning applications. It offers a user-friendly interface for annotating diverse data types, including audio, text, images, videos, and time series, and supports exporting data in various model-compatible formats. Its flexibility allows for customization to suit unique dataset requirements and seamless integration with existing ML workflows, making it an essential tool for improving model accuracy and accelerating AI development.