YouTube-8M: A Large and Diverse Labeled Video Dataset for Video Understanding Research - 0 views
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Janos Haits on 29 Sep 16"YouTube-8M is a large-scale labeled video dataset that consists of 8 million YouTube video IDs and associated labels from a diverse vocabulary of 4800 visual entities. It also comes with precomputed state-of-the-art vision features from billions of frames, which fit on a single hard disk. This makes it possible to train video models from hundreds of thousands of video hours in less than a day on 1 GPU! "