The Cityscapes Dataset for Semantic Urban Scene Understanding
Cordts, Marius and Omran, Mohamed and Ramos, Sebastian and Rehfeld, Timo and Enzweiler, Markus and Benenson, Rodrigo and Franke, Uwe and Roth, Stefan and Schiele, Bernt

folder Cityscapes (16 files)
filesamples_0.png 1.73MB
filesamples_1.png 1.69MB
filesamples_2.png 1.89MB
filedata/vehicle_trainvaltest.zip 1.91MB
filedata/leftImg8bit_trainvaltest.zip 11.59GB
filedata/vehicle_trainextra.zip 8.01MB
filedata/leftImg8bit_trainextra.zip 47.23GB
filedata/leftImg8bit_demoVideo.zip 6.98GB
filedata/gtFine_trainvaltest.zip 252.57MB
filedata/leftImg8bit_blurred.zip 11.49GB
filedata/gtCoarse.zip 1.32GB
filedata/camera_trainvaltest.zip 1.95MB
filedata/gtBbox_cityPersons_trainval.zip 2.26MB
fileREADME.txt 1.54kB
filedata/camera_trainextra.zip 8.16MB
fileREADME.md 1.54kB
Type: Dataset
Tags:

Bibtex:
@inproceedings{cordts2016cityscapes,
title= {The Cityscapes Dataset for Semantic Urban Scene Understanding},
author= {Cordts, Marius and Omran, Mohamed and Ramos, Sebastian and Rehfeld, Timo and Enzweiler, Markus and Benenson, Rodrigo and Franke, Uwe and Roth, Stefan and Schiele, Bernt},
booktitle= {Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year= {2016},
abstract= {The Cityscapes Dataset focuses on semantic understanding of urban street scenes. In the following, we give an overview on the design choices that were made to target the dataset’s focus.},
keywords= {},
terms= {},
license= {},
superseded= {},
url= {}
}


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