HandNet annotated hand dataset

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HandNet annotated hand dataset

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.Annotations:per pixel classes, 6D fingertip pose, heatmap.Images:Train - 202198Test - 10000Validation - 2773Recorded at GIP Lab, TechnionThe annotations are generated by a magnetic annotation technique as described in our paperRule of Thumb: Deep derotation for improved fingertip recognition, A Wetzler, R Slossberg, R Kimmel, BMVC 20156D pose is available for the center of the hand as well as the five fingertips (i.e. position and orientation of each).

Dataset Attributes

Label SVG
CategoriesHand, Articulation, Detection, Pose, Fingertip, Rgbd, Video