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 65.1297
iIoU Classes 45.5973
IoU Categories 87.1373
iIoU Categories 70.8046

 

Class results

Class IoU iIoU
road 96.7597 -
sidewalk 74.3973 -
building 88.7968 -
wall 28.1142 -
fence 39.621 -
pole 56.2149 -
traffic light 71.6669 -
traffic sign 71.9704 -
vegetation 91.7191 -
terrain 68.1439 -
sky 93.1912 -
person 79.3068 56.0783
rider 51.3761 38.7823
car 92.9223 84.3028
truck 39.7054 30.1141
bus 40.7842 37.3966
train 29.9024 21.4185
motorcycle 53.7042 37.7082
bicycle 69.1673 58.9777

 

Category results

Category IoU iIoU
flat 98.1891 -
nature 91.4193 -
object 64.1267 -
sky 93.1912 -
construction 89.5988 -
human 81.8555 58.8873
vehicle 91.5803 82.7219

 

Links

Download results as .csv file

Benchmark page