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 82.4142
iIoU Classes 63.3774
IoU Categories 92.1227
iIoU Categories 82.7994

 

Class results

Class IoU iIoU
road 98.7888 -
sidewalk 87.6361 -
building 93.8245 -
wall 58.3996 -
fence 63.3206 -
pole 72.0377 -
traffic light 79.2169 -
traffic sign 81.9423 -
vegetation 94.0129 -
terrain 73.2558 -
sky 95.9723 -
person 88.418 75.3655
rider 76.3089 56.8092
car 96.4816 91.1426
truck 75.9334 44.7103
bus 89.8775 59.0934
train 88.1195 59.0138
motorcycle 72.7369 52.7195
bicycle 79.5858 68.1646

 

Category results

Category IoU iIoU
flat 98.7933 -
nature 93.7477 -
object 77.4865 -
sky 95.9723 -
construction 94.2803 -
human 88.4747 76.0806
vehicle 96.1044 89.5182

 

Links

Download results as .csv file

Benchmark page