label-studio
Alternative to Datadog
Label Studio is a data labeling platform for machine learning. It supports diverse data formats including images, text, audio, video, and HTML, integrating annotation workflow management with quality control.
- Multi-modal labeling for images, text, audio, video, time series, and HTML data
- Custom labeling UI built via XML-based template configuration
- ML backend integration for pre-annotation using trained models (semi-automatic labeling)
- Quality management with inter-annotator agreement metrics and quality scoring
- Team management with per-project annotator assignment and review workflows
- Data import/export supporting S3, GCS, Azure Blob, and local files
Built with Python (Django) and React, Label Studio is Docker-deployable for self-hosting. It serves as an industry-standard tool for streamlining data preparation in machine learning projects.
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