Type: Dataset
Tags:Dataset, disparity, scene flow, synthetic

title= {driving__frames_cleanpass.tar},
keywords= {Dataset, synthetic, disparity, scene flow},
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 "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superseded= {},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}

Hosted by users:

Academic Torrents!

Disable your

10 day statistics (2 downloads taking more than 30 seconds)

Average Time 3 hours, 26 minutes, 32 seconds
Average Speed 539.21kB/s
Best Time 35 minutes, 42 seconds
Best Speed 3.12MB/s
Worst Time 6 hours, 17 minutes, 22 seconds
Worst Speed 295.11kB/s