Anonymous Results


 

Method overview

challenge pixel-level semantic labeling
used Cityscapes data fine annotations
used external data ImageNet
runtime n/a
subsampling no

 

Average results

Metric Value
IoU Classes 77.0323
iIoU Classes 54.2187
IoU Categories 90.321
iIoU Categories 78.2623

 

Class results

Class IoU iIoU
road 98.4163 -
sidewalk 84.9015 -
building 92.5724 -
wall 50.8405 -
fence 56.6686 -
pole 64.9517 -
traffic light 73.5972 -
traffic sign 76.7941 -
vegetation 93.313 -
terrain 71.308 -
sky 95.4076 -
person 85.5498 68.5679
rider 69.1714 46.3975
car 95.4073 88.5866
truck 62.8736 34.3921
bus 78.9352 45.7343
train 73.2606 47.0918
motorcycle 64.8621 41.2249
bicycle 74.7831 61.7542

 

Category results

Category IoU iIoU
flat 98.6141 -
nature 92.9796 -
object 71.5233 -
sky 95.4076 -
construction 93.0442 -
human 85.8622 69.7579
vehicle 94.8158 86.7668

 

Links

Download results as .csv file

Benchmark page