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HandNet annotated hand dataset
许可协议: Unknown

Overview

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).

数据概要
数据格式
video, image,
数据量
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文件大小
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HandNet annotated hand dataset
许可协议: Unknown

Overview

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).

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