Universal Data Tool

Universal Data Tool is for machine-learning teams, researchers, and data labelers who need to create or review labeled datasets across different types of content. It supports image and video annotation, text classification, named entity recognition, audio transcription, document review, and other data-labeling tasks. For images and video, annotations can include labels, bounding boxes, polygons, and points; text tasks can mark entities, categories, and relationships. Set up labeling projects through a graphical interface, import data from sources such as files, URLs, CSV, or JSON, and export annotations as CSV or JSON in the UDT format. Teams can label together in real time and create training courses for labelers. The app is available in a web browser or as a desktop application, and its data formats and integrations can support workflows using tools such as Python and fast.ai. It may suit teams building computer-vision, natural-language-processing, or speech datasets, as well as developers embedding annotation interfaces in web applications.

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