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.
Deploy
Features
Integrations & APIs
- REST API
Category
Replaces
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