Anonymous Results


 

Method overview

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

 

Average results

Metric Value
IoU Classes 83.5189
iIoU Classes 62.4816
IoU Categories 92.1997
iIoU Categories 81.0162

 

Class results

Class IoU iIoU
road 98.9153 -
sidewalk 88.7716 -
building 94.2264 -
wall 64.5129 -
fence 67.0694 -
pole 71.5885 -
traffic light 78.6165 -
traffic sign 82.6476 -
vegetation 94.1427 -
terrain 74.6537 -
sky 96.075 -
person 88.1918 71.0669
rider 74.6756 53.4272
car 96.5712 91.6321
truck 79.5704 46.7052
bus 93.0087 61.0911
train 90.5605 59.556
motorcycle 74.2082 51.3165
bicycle 78.8531 65.0577

 

Category results

Category IoU iIoU
flat 98.8656 -
nature 93.9361 -
object 77.4262 -
sky 96.075 -
construction 94.4882 -
human 88.3441 72.2206
vehicle 96.2628 89.8118

 

Links

Download results as .csv file

Benchmark page