flyingthings3d__frames_cleanpass.tar
Nikolaus Mayer and Eddy Ilg and Philip Hausser and Philipp Fischer and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox

flyingthings3d__frames_cleanpass.tar39.47GB
Type: Dataset
Tags: Dataset, optical flow, synthetic, disparity, scene flow

Bibtex:
@article{,
title= {flyingthings3d__frames_cleanpass.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 "Clean 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superseded= {},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 1 days,02 hrs, 39 mins, 56 secs
Average Speed 411.20kB/s
Best Time 1 hrs, 13 mins, 35 secs
Best Speed 8.94MB/s
Worst Time 2 days,01 hrs, 25 mins, 05 secs
Worst Speed 221.88kB/s
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