Label Studio
The open source data labeling platform.
Overview
Label Studio is a versatile open-source data labeling tool that supports a wide range of data types, including images, text, audio, and time-series data. Its highly customizable labeling interface allows users to create tailored annotation setups for their specific needs. Label Studio is designed for both individual use and team collaboration, and it can be integrated with machine learning models for active learning workflows.
✨ Key Features
- Open-source and self-hostable
- Support for diverse data types (image, text, audio, time-series)
- Highly customizable labeling interfaces
- Integration with machine learning models for pre-labeling
- Collaborative labeling with user management
- Data exploration and filtering
🎯 Key Differentiators
- Extreme flexibility and customizability of the labeling interface
- Support for a wide variety of data types beyond computer vision
Unique Value: Offers a free, open-source, and highly customizable platform for labeling any type of data, for any AI application.
🎯 Use Cases (5)
✅ Best For
- Named entity recognition in text documents
- Image classification and object detection
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Users who require a fully managed, out-of-the-box solution with extensive customer support without opting for the enterprise version.
🏆 Alternatives
Provides greater flexibility and support for more data types compared to more specialized open-source tools like CVAT.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: The open-source version is free and fully featured.
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