Cityscapes (16 files)
 samples_0.png |
1.73MB |
| samples_1.png |
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| samples_2.png |
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| data/vehicle_trainvaltest.zip |
1.91MB |
| data/leftImg8bit_trainvaltest.zip |
11.59GB |
| data/vehicle_trainextra.zip |
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| data/leftImg8bit_trainextra.zip |
47.23GB |
| data/leftImg8bit_demoVideo.zip |
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| data/gtFine_trainvaltest.zip |
252.57MB |
| data/leftImg8bit_blurred.zip |
11.49GB |
| data/gtCoarse.zip |
1.32GB |
| data/camera_trainvaltest.zip |
1.95MB |
| data/gtBbox_cityPersons_trainval.zip |
2.26MB |
| README.txt |
1.54kB |
| data/camera_trainextra.zip |
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| README.md |
1.54kB |
Type: Dataset
Bibtex:
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superseded= {},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= {}
}
