6 datasets found

The Hands in the Million Challenge (HIM) dataset is a dataset for hand pose estimation. It contains 95,540 depth images from various subjects.

The dataset used for training and testing the hand pose estimation model. It contains depth images of hands with 6 annotated keypoints (fingertips and wrist) per frame.

The dataset used for testing the HandVoxNet approach for 3D hand shape and pose estimation from a single depth map.

A hand, which is an articulated object, is composed of six local parts: the palm and five independent fingers.

The NYU Hand Pose Dataset comprises 70,000 images captured with a depth sensor in VGA resolution accompanied by ground truth annotations of positions of hand joints.

A benchmark for evaluating hand pose tracking/estimation algorithms on passive stereo. Unlike existing benchmarks, it contains both stereo images from a binocular stereo camera...