The Hand dataset is provided by Carnegie Mellon University (CMU) for learning human gesture recognition. The dataset contains hands with manually added key points in real images, hands with key points in synthetic images, and hands data recorded from multiple camera angles in Panoptic Studio. The dataset can be used to study problems such as identifying key points of hands in videos and analyzing movements.