driving__optical_flow.tar.bz253.08GB
Type: Dataset
Tags: Dataset, optical flow, synthetic, disparity, scene flow

Bibtex:
@article{,
title= {driving__optical_flow.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 "Optical Flow" data for the "Driving" 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superseded= {},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}
}

10 day statistics (5 downloads)

Average Time 2 hrs, 01 mins, 31 secs
Average Speed 7.28MB/s
Best Time 5 mins, 06 secs
Best Speed 173.46MB/s
Worst Time 5 hrs, 46 mins, 15 secs
Worst Speed 2.55MB/s
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