flyingthings3d__frames_finalpass.tar
Nikolaus Mayer and Eddy Ilg and Philip Hausser and Philipp Fischer and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox

flyingthings3d__frames_finalpass.tar45.21GB
Type: Dataset
Tags: Dataset, optical flow, synthetic, disparity, scene flow

Bibtex:
@article{,
title= {flyingthings3d__frames_finalpass.tar},
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 "Final pass" images (PNG format) 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superseded= {},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}
}

10 day statistics (4 downloads)

Average Time 54 mins, 06 secs
Average Speed 13.93MB/s
Best Time 13 mins, 56 secs
Best Speed 54.08MB/s
Worst Time 1 hrs, 55 mins, 28 secs
Worst Speed 6.53MB/s
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