Home
Uni-Logo
 

Datasets

Binaries/Code Datasets Open Source Software

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.


Stereo Ego-Motion Dataset

This dataset contains 494 full-HD videos across 4 categories - car, cat, chair, dog. These were recorded by walking around the objects under no special camera or environmental settings. There was no object motion in the car and chair videos, whereas some cats and dogs show strong articulated motion.
We acknowledge funding from the ERC starting grant VIDEOLEARN in collecting this dataset.




Download videos



Extract frames from videos

We provide a matlab script to extract left and right channels of a stereo video. [ ]

Terms of use

The dataset is provided for research purposes. Any commercial use is prohibited. If you are interested in a commercial use, then please contact us.


Contact

Naveen Shankar Nagaraja, Thomas Brox