Cityscapes (16 files)
samples_0.png | 1.73MB |
samples_1.png | 1.69MB |
samples_2.png | 1.89MB |
data/vehicle_trainvaltest.zip | 1.91MB |
data/leftImg8bit_trainvaltest.zip | 11.59GB |
data/vehicle_trainextra.zip | 8.01MB |
data/leftImg8bit_trainextra.zip | 47.23GB |
data/leftImg8bit_demoVideo.zip | 6.98GB |
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 | 8.16MB |
README.md | 1.54kB |
Type: Dataset
Tags:
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an overview on the design choices that were made to target the dataset’s focus.}, keywords= {}, terms= {}, license= {}, superseded= {}, url= {} }
No comments yet
Add a comment