|Description (include details on usage, files and paper references)||The HandNet dataset contains depth images of 10 participants hands non-rigidly deforming infront of a RealSense RGB-D camera.
This dataset includes 214971 annotated depth images of hands captured by a RealSense RGBD sensor of hand poses.
per pixel classes, 6D fingertip pose, heatmap.
Train - 202198
Test - 10000
Validation - 2773
Recorded at GIP Lab, Technion
The annotations are generated by a magnetic annotation technique as described in our paper
Rule of Thumb: Deep derotation for improved fingertip recognition, A Wetzler, R Slossberg, R Kimmel, BMVC 2015
6D pose is available for the center of the hand as well as the five fingertips (i.e. position and orientation of each).