Label Studio-Open-source Data Annotation Platform-Multi-project Management-Multi-user Collaboration-Label Studio is an open-source data annotation tool that supports multiple projects and users.

Label Studio
4.5 Points
Label Studio
Label Studio is an open-source data annotation tool that supports multiple projects and users.
Applicable People: Freelance Writing,Content Management,Media Editing,Others
Freelance Writing
Content Management
Media Editing
Others
Open-source Data Annotation Platform
Multi-project Management
Multi-user Collaboration
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Product Details
5000+ Artificial Intelligence Tools for YouDiscover AI, Unleash Your PotentialProduct Introduction
Label Studio is an open-source data annotation platform that supports multiple projects, users, and various data types. It allows annotation for different types of data using multiple data formats and integrates with machine learning backends.
5000+ Artificial Intelligence Tools for YouDiscover AI, Unleash Your PotentialMain Function
1. Multi-project management: Label Studio supports managing multiple projects on one platform, each with different data types and annotation requirements. 2. Multi-user collaboration: Multiple users can participate in the annotation work of a project simultaneously, with the ability to assign different tasks and permissions. 3. Support for multiple data formats: Label Studio supports various data formats, including images, text, audio, and video, to meet different annotation needs. 4. Customizable annotation types: Users can customize annotation types, including rectangles, polygons, text, and classifications, to meet different annotation requirements. 5. Integration with machine learning backend: Label Studio can be integrated with a machine learning backend to utilize annotation data for AI model training and refinement.
How to Use
1. Create Project: Users can create a new project in Label Studio and specify the project's name, data type, and annotation type. 2. Import Data: Users can import the data that needs to be annotated into Label Studio, supporting multiple data formats. 3. Assign Tasks: Users can assign annotation tasks to different users, and each user can perform annotation work based on their permissions. 4. Perform Annotation: Users can perform annotation work in Label Studio, supporting multiple annotation types and tools. 5. Export Annotation Data: Users can export the annotated data in various formats for training and fine-tuning AI models.
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