Anonymous Results


 

Method overview

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

 

Average results

Metric Value
IoU Classes 66.4567
iIoU Classes 38.308
IoU Categories 84.7253
iIoU Categories 68.6692

 

Class results

Class IoU iIoU
road 97.3856 -
sidewalk 78.9424 -
building 88.9432 -
wall 46.6045 -
fence 42.7435 -
pole 50.4832 -
traffic light 54.3419 -
traffic sign 59.8529 -
vegetation 90.754 -
terrain 68.5739 -
sky 93.867 -
person 73.7445 53.5249
rider 53.7387 26.8157
car 91.6903 84.7349
truck 53.9196 18.8335
bus 64.0872 33.107
train 50.4197 25.3345
motorcycle 44.0877 22.3291
bicycle 58.4974 41.784

 

Category results

Category IoU iIoU
flat 97.9908 -
nature 90.4683 -
object 56.9109 -
sky 93.867 -
construction 88.9019 -
human 74.2857 54.7831
vehicle 90.6522 82.5552

 

Links

Download results as .csv file

Benchmark page