AI Models
Label Studio
Provide flexible data annotation tools, supporting computer vision, natural language processing and other data types, used for training data preparation.
【Application Scenarios】
- Work scenarios: Preparing training data for computer vision, natural language processing, speech, sound and video models
- Life scenarios: Not applicable
【Target Users】
- Data scientists
- Machine learning engineers
- AI researchers
【Core Features】
- Support for data annotation of multiple data types
- ML-assisted annotation
- Integration with ML/AI pipelines
- Cloud storage connectivity
- Data management and exploration
【Is It Free】
- Community version is free
- Enterprise version requires payment
【Community Ecosystem】
- Has over 17,000 Slack members
- Has a large number of stars on GitHub
- Provides resources such as blogs, newsletters, and learning centers
【Summary】
- Label Studio is a flexible open-source data annotation platform that supports multiple data types, aimed at preparing training data for AI and ML models. It offers rich features and strong community support, suitable for use by data scientists and machine learning engineers.
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