Datasets

Freiburg-Berkeley Motion Segmentation Dataset

Video Segmentation Benchmark

Image Sequences

TEM Dataset

TILDA Textile Texture Database

Training data for Exemplar CNN

Generated Matching Dataset

Training data for chair generation

Stereo Ego-motion Dataset

Optical Flow Datasets: "Flying Chairs", "ChairsSDHom"

Scene Flow Datasets

Human Part Segmentation Datasets

Rendered Handpose Dataset

Pedestrian Zone Scene

FreiHAND Dataset

HanCo Dataset

Human Pose RGBD Datasets

OVAD: Open-Vocabulary Attribute Detection Dataset

ADE-OoD: a benchmark for dense Out-of-Distribution detection on natural images.

Kinect Human Pose Datasets

In our recent publication we presented two datasets for Human Pose Estimation from RGBD. Here we release the Multi-View Kinect Dataset (MKV) and the Captury Dataset (CAP). Each sample provides:

	-	RGB image (1920x1080 pixels)
	-	Depth map (1920x1080 pixels)
	-	Infrared image (512x424 pixels)
	-	3D Human Pose annotation (18 keypoints)
	-	3D Kinect SDK Human Pose prediction (25 keypoints)
	-	Camera calibration

The zipped dataset bundle contains utility functions to read an image and show the annotation as well as the Kinect SDK prediction on the images. For additional information please visit our project page.

Examples

Terms of use

This dataset is provided for research purposes only and without any warranty. Any commercial use is prohibited. If you use the dataset or parts of it in your research, you must cite the respective paper.

@InProceedings{ZimmermannWDBB18,
  author    = {Christian Zimmermann, Tim Welschehold, Christian Dornhege, Wolfram Burgard, and
               Thomas Brox},
  title     = {3D Human Pose Estimation in {RGBD} Images for Robotic Task Learning},
  booktitle = {{IEEE} International Conference on Robotics and Automation, {ICRA}},
  year = {2018},
  url          = "https://lmb.informatik.uni-freiburg.de/projects/rgbd-pose3d/"
}

Dataset

Download Kinect Datasets (~60 GB)

Contact

For questions about the dataset please contact Christian Zimmermann.