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 54.98
iIoU Classes 39.4476
IoU Categories 83.0826
iIoU Categories 70.9397

 

Class results

Class IoU iIoU
road 94.3935 -
sidewalk 63.1811 -
building 84.5258 -
wall 20.762 -
fence 31.9727 -
pole 47.6099 -
traffic light 65.7702 -
traffic sign 67.6906 -
vegetation 90.6076 -
terrain 59.7409 -
sky 91.5176 -
person 69.8403 55.9354
rider 34.26 29.3504
car 87.2873 81.879
truck 11.4347 22.4601
bus 23.3353 27.7544
train 5.31276 11.9904
motorcycle 32.9207 30.4108
bicycle 62.4578 55.7999

 

Category results

Category IoU iIoU
flat 97.2312 -
nature 89.8636 -
object 56.733 -
sky 91.5176 -
construction 85.7592 -
human 75.3999 59.8694
vehicle 85.0737 82.0101

 

Links

Download results as .csv file

Benchmark page