16 datasets found

Formats: JSON Tags: depth images

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  • DPI-T

    A depth-based person identiļ¬cation dataset with 12 subjects, 300 videos, and 25 appearances per class.

  • Child Growth Monitor Dataset

    A dataset of depth images collected from children under 5 years of age using a smartphone, used for height estimation.

  • NYU

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

  • ICVL

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

  • ModelNet dataset

    The dataset used for training a Convolutional Neural Network to predict a grasp quality score over all grasp poses, given a depth image of an object.

  • Pandora

    The dataset used for head pose estimation on depth images only.

  • ICT-3DHP

    The dataset used for head pose estimation on depth images only.

  • Biwi Kinect Head Pose

    The dataset used for head pose estimation on depth images only.

  • ICVL Hand Posture Dataset

    The ICVL Hand Posture Dataset comprises a training set of over 180k depth images showing various hand poses.

  • NYU Hand Pose Dataset

    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.

  • Stereo-based Hand Tracking Benchmark

    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...

  • ITOP Dataset

    The ITOP dataset contains depth images from top and front view. The training split and the test split consist of 40k and 10k images, respectively.

  • BIWI

    BIWI dataset has total of 15,678 frames from 24 videos with 20 different subjects captured in the controlled indoor environment.

  • Real dataset for fabric mechanics estimation

    A real dataset of depth images of fabrics, with mechanical ground truth parameters, used to test and evaluate a method for estimating fabric mechanics from depth images.

  • Synthetic dataset for fabric mechanics estimation

    A synthetic dataset of depth images of fabrics, with mechanical ground truth parameters, used to train and evaluate a method for estimating fabric mechanics from depth images.

  • Jacquard

    A large-scale dataset for robotic grasp detection, containing 54000 images and 1.1 million grasp annotations.
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