Project Title
label-studio — A versatile open-source data labeling tool for audio, text, images, videos, and time series
Overview
Label Studio is an open-source data labeling tool designed for various data types, including audio, text, images, videos, and time series. It offers a simple UI, customizable templates, and standardized output formats to facilitate the preparation of raw data or enhancement of existing training data for more accurate machine learning models.
Key Features
- Supports multiple data types: audio, text, images, videos, and time series
- Customizable labeling templates for specific data needs
- Exports data to various model formats for seamless integration with ML workflows
- Integrates with existing tools and cloud instances for flexibility
Use Cases
- Data scientists using Label Studio to prepare datasets for machine learning model training
- Enterprises customizing Label Studio for specific industry data labeling needs
- Researchers annotating and labeling datasets for academic research in various fields
Advantages
- Open-source and customizable, allowing for community contributions and tailored solutions
- Supports a wide range of data types, making it a versatile tool for different projects
- Provides a user-friendly interface for efficient data labeling
Limitations / Considerations
- The project's license is currently unknown, which may affect its use in commercial applications
- Customization requires a certain level of technical expertise, which might be a barrier for some users
Similar / Related Projects
- SuperAnnotate: A platform for annotating images, videos, and 3D point clouds, with a focus on computer vision tasks. It differs from Label Studio in its specialized focus on visual data.
- CVAT: Open-source computer vision annotation tool that supports image and video annotation. CVAT is more focused on visual data annotation compared to Label Studio's multi-data type support.
Basic Information
- GitHub: https://github.com/HumanSignal/label-studio
- Stars: 24,270
- License: Unknown
- Last Commit: 2025-08-20
📊 Project Information
- Project Name: label-studio
- GitHub URL: https://github.com/HumanSignal/label-studio
- Programming Language: JavaScript
- ⭐ Stars: 24,270
- 🍴 Forks: 2,979
- 📅 Created: 2019-06-19
- 🔄 Last Updated: 2025-08-20
🏷️ Project Topics
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🔗 Related Resource Links
📚 Documentation
- Docs
- here
- Install locally with Docker
- Run with Docker Compose (Label Studio + Nginx + PostgreSQL)
- here
- our guide on storing data
🌐 Related Websites
This article is automatically generated by AI based on GitHub project information and README content analysis