Anonymous Results


 

Method overview

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

 

Average results

Metric Value
IoU Classes 73.584
iIoU Classes 47.6334
IoU Categories 89.239
iIoU Categories 74.2667

 

Class results

Class IoU iIoU
road 98.1419 -
sidewalk 82.6788 -
building 91.5479 -
wall 36.8419 -
fence 49.1088 -
pole 63.165 -
traffic light 71.2231 -
traffic sign 73.8078 -
vegetation 92.3787 -
terrain 68.1478 -
sky 94.878 -
person 83.1174 62.1652
rider 66.4008 40.4316
car 94.7486 87.3252
truck 56.7702 24.237
bus 71.2769 40.3696
train 73.1941 38.9407
motorcycle 59.2974 35.6926
bicycle 71.3701 51.905

 

Category results

Category IoU iIoU
flat 98.4738 -
nature 92.1182 -
object 69.4628 -
sky 94.878 -
construction 91.9858 -
human 83.6558 63.7401
vehicle 94.0983 84.7932

 

Links

Download results as .csv file

Benchmark page