Anonymous Results


 

Method overview

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

 

Average results

Metric Value
IoU Classes 79.4867
iIoU Classes 56.7494
IoU Categories 91.0426
iIoU Categories 79.1027

 

Class results

Class IoU iIoU
road 98.6795 -
sidewalk 86.6827 -
building 93.2922 -
wall 57.6135 -
fence 59.5962 -
pole 68.4173 -
traffic light 75.7849 -
traffic sign 78.6686 -
vegetation 93.5689 -
terrain 71.5129 -
sky 95.6483 -
person 86.5024 68.9704
rider 71.9982 50.0469
car 95.8551 89.9548
truck 71.4103 38.0537
bus 85.7109 51.7014
train 77.5191 45.6075
motorcycle 65.9764 46.5291
bicycle 75.8097 63.1317

 

Category results

Category IoU iIoU
flat 98.6855 -
nature 93.2391 -
object 74.2841 -
sky 95.6483 -
construction 93.5201 -
human 86.485 70.0498
vehicle 95.4361 88.1556

 

Links

Download results as .csv file

Benchmark page