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 63.1607
iIoU Classes 38.218
IoU Categories 85.6769
iIoU Categories 71.3114

 

Class results

Class IoU iIoU
road 95.386 -
sidewalk 63.0271 -
building 89.7195 -
wall 45.756 -
fence 44.1947 -
pole 49.2302 -
traffic light 59.415 -
traffic sign 37.9983 -
vegetation 91.7439 -
terrain 60.0462 -
sky 94.5227 -
person 80.7764 57.599
rider 57.3733 29.8174
car 93.2074 85.5664
truck 43.5365 25.7324
bus 47.3287 29.5262
train 38.7144 11.9148
motorcycle 57.1785 33.337
bicycle 50.8994 32.2507

 

Category results

Category IoU iIoU
flat 97.8363 -
nature 90.4262 -
object 51.8931 -
sky 94.5227 -
construction 90.4219 -
human 81.9713 59.677
vehicle 92.6671 82.9458

 

Links

Download results as .csv file

Benchmark page