universal-data-tool
A web/desktop application for collaborative labeling and annotation of images, text, audio, documents, and other data types.
What is universal-data-tool?
Universal Data Tool is an open-source platform for labeling and annotating diverse data types like images, text, audio, and documents. It solves the problem of creating high-quality training datasets for machine learning by providing a collaborative, user-friendly interface that supports multiple annotation formats and real-time teamwork.
Machine learning engineers, data scientists, and research teams who need to create or manage labeled datasets for AI model training, particularly those working with computer vision, natural language processing, or multimodal data.
Developers choose Universal Data Tool for its versatility across data types, ease of collaboration without sign-up barriers, and flexible deployment options including self-hosting. Its extensible data format and integration capabilities with popular ML frameworks provide a streamlined workflow from annotation to model training.
Overview
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
Use Cases
Best For
- Creating labeled datasets for computer vision tasks like image segmentation and object detection
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