EgoYouTubeHands dataset

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EgoYouTubeHands dataset

An egocentric hand segmentation dataset consists of 1290 annotated frames from YouTube videos recorded in unconstrained real-world settings. The videos have variation in environment, number of participants, and actions. This dataset is useful to study hand segmentation problem in unconstrained settings. (Aisha Urooj, A. Borji)

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