label-studio
An open-source data labeling tool for machine learning projects, enabling annotation of various data types with a flexible interface.
User Rating
1.0
Score
65
Free/Trial Support
Supported
Features
1 Features
Last Updated
Mar 06, 2026
What is label-studio?
Label Studio is a comprehensive data labeling platform that supports text, images, audio, and video annotations, designed to streamline the creation of training datasets for AI models.
How to use label-studio?
Install via pip or Docker, set up projects, import data, configure labeling interfaces, and collaborate with teams to annotate datasets efficiently.
Top Features
- Multi-format support
- Customizable labeling interfaces
- Collaboration tools
- Integration with ML pipelines
Pros & Cons
Pros
- Open-source and free
- Highly customizable
- Supports diverse data types
- Active community
Cons
- Steep learning curve for advanced features
- Requires technical setup for self-hosting
Use Cases
- Training computer vision models
- Natural language processing data annotation
- Audio transcription projects
User Groups
No Data
label-studio Pricing
Free PlanSubscription Plan
No detailed pricing information available
Cover Preview
LABEL-STUDIO Features
- Other Analysis functionalityOther Analysis