Overview
Label Studio provides annotation capabilities for multiple data types (text, images, audio, video) with standardized export formats, making it suitable for preparing datasets for model training and evaluation. Its flexible UI and plugin system support diverse labeling workflows.
Key Features
- Multi-type support for text, images, audio, video, and sequence labeling.
- Customizable labeling interfaces, labels, and export formats.
- Collaboration features including task assignment and quality control.
Use Cases
- Creating high-quality training datasets for supervised learning.
- Human-in-the-loop review for model outputs.
- Data governance through standardized exports for downstream tooling.
Technical Details
- Stack: modern frontend and backend technologies with storage integrations.
- Extensibility: plugins and export adapters for different platforms.
- License: Apache-2.0.