flyingthings3d__disparity.tar.bz2
Nikolaus Mayer and Eddy Ilg and Philip Hausser and Philipp Fischer and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox

flyingthings3d__disparity.tar.bz293.21GB
Type: Dataset
Tags:Dataset, optical flow, synthetic, disparity, scene flow

Bibtex:
@article{,
title= {flyingthings3d__disparity.tar.bz2},
keywords= {disparity,scene flow,optical flow,dataset,synthetic},
journal= {},
author= {Nikolaus Mayer and Eddy Ilg and Philip Hausser and Philipp Fischer and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox},
year= {},
url= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html},
license= {},
abstract= {This torrent contains the "Disparity" data for the "FlyingThings3D" dataset from the CVPR 2016 paper "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation" by Mayer et al. (https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html).},
superseded= {},
terms= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html#tou}
}

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Average Time 1 days,02 hours, 41 minutes, 32 seconds
Average Speed 970.04kB/s
Best Time 4 hours, 53 minutes, 06 seconds
Best Speed 5.30MB/s
Worst Time 2 days,00 hours, 29 minutes, 59 seconds
Worst Speed 533.87kB/s
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