flyingthings3d__one_quarter_baseline__cleanpass.tar.bz2
Nikolaus Mayer

flyingthings3d__one_quarter_baseline__cleanpass.tar.bz240.58GB
Type: Dataset
Tags: Dataset, disparity, scene flow, synthetic, optical flow

Bibtex:
@article{,
title= {flyingthings3d__one_quarter_baseline__cleanpass.tar.bz2},
journal= {},
author= {Nikolaus Mayer},
year= {},
url= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html},
abstract= {This torrent contains the "Cleanpass" image data for a one-quarter-baseline version of 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).},
keywords= {Dataset, optical flow, synthetic, disparity, scene flow},
terms= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html#tou},
license= {},
superseded= {}
}

10 day statistics (2 downloads)

Average Time 3 days,08 hrs, 44 mins, 33 secs
Average Speed 139.60kB/s
Best Time 6 hrs, 45 mins, 35 secs
Best Speed 1.67MB/s
Worst Time 6 days,10 hrs, 43 mins, 31 secs
Worst Speed 72.85kB/s
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