Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
Vidatgithub.com · Low evidenceVidat is an in-browser video annotation tool developed by ANU CVML for computer vision and machine learning applications. It supports multiple annotation types including temporal segments, bounding boxes, regions, tracklets, and human pose skeletons, and runs entirely client-side without server processing.
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Sources
arxiv.org shapes more of what AI says about Vidat than any other source, at 100% of its citations.