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 78.8072
iIoU Classes 55.7395
IoU Categories 90.5834
iIoU Categories 77.9781

 

Class results

Class IoU iIoU
road 98.566 -
sidewalk 86.0332 -
building 92.9442 -
wall 51.6777 -
fence 60.11 -
pole 66.7337 -
traffic light 74.4679 -
traffic sign 76.719 -
vegetation 93.3858 -
terrain 72.2028 -
sky 95.6262 -
person 85.4789 68.0007
rider 69.6054 46.7769
car 95.5454 88.6713
truck 73.4843 38.4809
bus 83.9645 50.0134
train 79.3019 48.6412
motorcycle 66.3932 43.7168
bicycle 75.0972 61.615

 

Category results

Category IoU iIoU
flat 98.6085 -
nature 93.0591 -
object 72.782 -
sky 95.6262 -
construction 93.3095 -
human 85.7359 69.1305
vehicle 94.9627 86.8258

 

Links

Download results as .csv file

Benchmark page