label-studio

Label Studio is an open-source data labeling tool that supports multiple data types including audio, text, images, videos, and time series. It provides a simple and straightforward UI for labeling and can export data to various model formats. The tool is useful for preparing raw data or improving existing training data to build more accurate machine learning models. Key features include multi-user labeling with sign-up and login, support for multiple projects in one instance, configurable label formats, and integration with machine learning models for pre-labeling, online learning, and active learning. It allows importing data from files or cloud storage (Amazon S3, Google Cloud Storage, JSON, CSV, TSV, RAR, ZIP). Label Studio can be installed locally via Docker, pip, poetry, or Anaconda, and can be deployed to cloud instances like Heroku, Azure, or Google Cloud Platform. It includes a REST API for embedding into data pipelines and offers a variety of templates for common labeling tasks. The ecosystem includes a frontend library built with React and mobx-state-tree, a Data Manager library for data exploration, and converters for encoding labels in formats compatible with popular machine learning libraries. The software is licensed under Apache 2.0.