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 65.4687
iIoU Classes 50.3974
IoU Categories 88.1775
iIoU Categories 74.3767

 

Class results

Class IoU iIoU
road 97.3183 -
sidewalk 78.2392 -
building 89.2404 -
wall 31.1439 -
fence 45.5054 -
pole 61.0566 -
traffic light 72.9725 -
traffic sign 74.2498 -
vegetation 92.3734 -
terrain 65.4728 -
sky 94.3834 -
person 81.1424 60.5122
rider 57.3264 43.3451
car 92.7601 84.9066
truck 22.5148 28.5779
bus 32.708 41.414
train 22.6554 42.4302
motorcycle 59.8244 43.1838
bicycle 73.0183 58.8094

 

Category results

Category IoU iIoU
flat 98.318 -
nature 91.9616 -
object 67.9 -
sky 94.3834 -
construction 89.9687 -
human 84.1051 63.0141
vehicle 90.6059 85.7393

 

Links

Download results as .csv file

Benchmark page