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 80.5147
iIoU Classes 58.5855
IoU Categories 91.086
iIoU Categories 78.8911

 

Class results

Class IoU iIoU
road 98.5817 -
sidewalk 86.3424 -
building 93.5546 -
wall 55.6883 -
fence 62.015 -
pole 68.1197 -
traffic light 75.7594 -
traffic sign 79.2921 -
vegetation 93.5293 -
terrain 72.9054 -
sky 95.6964 -
person 86.7749 69.5848
rider 72.3234 49.7586
car 95.7335 89.0163
truck 73.0996 38.982
bus 88.1137 53.8641
train 85.4646 55.0243
motorcycle 70.1671 49.0279
bicycle 76.6188 63.4261

 

Category results

Category IoU iIoU
flat 98.664 -
nature 93.2191 -
object 74.3371 -
sky 95.6964 -
construction 93.6248 -
human 86.8319 70.5103
vehicle 95.2286 87.2719

 

Links

Download results as .csv file

Benchmark page