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 72.6368
iIoU Classes 45.3381
IoU Categories 86.5955
iIoU Categories 69.8129

 

Class results

Class IoU iIoU
road 97.7508 -
sidewalk 80.2941 -
building 90.6079 -
wall 54.162 -
fence 54.0047 -
pole 50.9853 -
traffic light 62.2183 -
traffic sign 67.7251 -
vegetation 91.7522 -
terrain 68.9076 -
sky 93.8185 -
person 78.6329 56.1067
rider 58.8149 33.0134
car 93.7115 84.2591
truck 57.7004 26.3693
bus 78.6032 40.2936
train 76.3239 39.406
motorcycle 56.2102 33.1125
bicycle 67.8751 50.1443

 

Category results

Category IoU iIoU
flat 98.2668 -
nature 91.367 -
object 59.5347 -
sky 93.8185 -
construction 90.9544 -
human 79.231 57.3244
vehicle 92.9959 82.3014

 

Links

Download results as .csv file

Benchmark page