Anonymous Results


 

Method overview

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

 

Average results

Metric Value
IoU Classes 83.454
iIoU Classes 64.3881
IoU Categories 92.2272
iIoU Categories 82.0328

 

Class results

Class IoU iIoU
road 98.7887 -
sidewalk 87.8196 -
building 94.1836 -
wall 64.0654 -
fence 65.0306 -
pole 72.4168 -
traffic light 79.0441 -
traffic sign 82.7999 -
vegetation 94.1813 -
terrain 73.9964 -
sky 96.1408 -
person 88.2181 72.885
rider 75.3782 55.2296
car 96.4535 92.1972
truck 78.8045 50.1483
bus 94.0174 60.9603
train 91.5797 63.0359
motorcycle 73.7247 53.8147
bicycle 78.9823 66.834

 

Category results

Category IoU iIoU
flat 98.8087 -
nature 93.9264 -
object 77.992 -
sky 96.1408 -
construction 94.3756 -
human 88.2101 73.5848
vehicle 96.1364 90.4808

 

Links

Download results as .csv file

Benchmark page