RoCoG-v2 (Robot Control Gestures)
Introduced by Reddy et al. in Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances
RoCoG-v2 (Robot Control Gestures) is a dataset intended to support the study of synthetic-to-real and ground-to-air video domain adaptation. It contains over 100K synthetically-generated videos of human avatars performing gestures from seven (7) classes. It also provides videos of real humans performing the same gestures from both ground and air perspectives
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