Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2017-09-26 000000m 09:21:38 - Overview

ok854
Attribute Current Content New
Name (Institute + Shorttitle)HandNet annotated hand dataset 
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.

Annotations:
per pixel classes, 6D fingertip pose, heatmap.

Images:
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).



 
URL Linkhttp://www.cs.technion.ac.il/~twerd/HandNet/ 
Files (#)
References (SKIPPED)
Category (SKIPPED)
Tags (single words, spaced)hand articulation segmentation classification detection pose fingertip rgbd video 
Last Changed2017-09-26 
Turing (2.12+3.25=?) :-)