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Label Studio

Label Studio is a self-hosted automation & workflow replacement for Azure, ML Kit, and more.

Overview

Label Studio is a multi-type data labeling and annotation tool with standardized output format A flexible data labeling tool for all data types. Prepare training data for computer vision, natural language processing, speech, voice, and video models. The project has 27K+ GitHub stars and is licensed under Apache-2.0.

Key Features

Source: GitHub README

  • Try out Label Studio
  • What you get from Label Studio
  • Included templates for labeling data in Label Studio
  • Set up machine learning models with Label Studio
  • Integrate Label Studio with your existing tools

Getting Started

Source: GitHub README

docker pull heartexlabs/label-studio:latest
docker run -it -p 8080:8080 -v $(pwd)/mydata:/label-studio/data heartexlabs/label-studio:latest
docker run -it -p 8080:8080 -v $(pwd)/mydata:/label-studio/data heartexlabs/label-studio:latest label-studio --log-level DEBUG

Normalized Features

Source: tool-features-normalized.json

docker, docker compose, one click deploy, pip, postgresql, rest api, sqlite.

Features

Integrations & APIs

  • REST API