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HaGRID -- HAnd Gesture Recognition Image Dataset. (arXiv:2206.08219v1 [cs.CV])
June 17, 2022, 1:13 a.m. | Alexander Kapitanov, Andrew Makhlyarchuk, Karina Kvanchiani
cs.CV updates on arXiv.org arxiv.org
In this paper, we introduce an enormous dataset HaGRID (HAnd Gesture
Recognition Image Dataset) for hand gesture recognition (HGR) systems. This
dataset contains 552,992 samples divided into 18 classes of gestures. The
annotations consist of bounding boxes of hands with gesture labels and markups
of leading hands. The proposed dataset allows for building HGR systems, which
can be used in video conferencing services, home automation systems, the
automotive sector, services for people with speech and hearing impairments,
etc. We are …
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