EgoHands

홈페이지 · 논문 34편

The EgoHands dataset contains 48 Google Glass videos of complex, first-person interactions between two people. The main intention of this dataset is to enable better, data-driven approaches to understanding hands in first-person computer vision. The dataset offers * high quality, pixel-level segmentations of hands * the possibility to semantically distinguish between the observer’s hands and someone else’s hands, as well as left and right hands * virtually unconstrained hand poses as actors freely engage in a set of joint activities * lots of data with 15,053 ground-truth labeled hands Source: [Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions](/paper/lending-a-hand-detecting-hands-and)