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 77.4494
iIoU Classes 53.6316
IoU Categories 89.8215
iIoU Categories 76.7537

 

Class results

Class IoU iIoU
road 98.5037 -
sidewalk 85.5607 -
building 92.4777 -
wall 52.2113 -
fence 57.1765 -
pole 62.9606 -
traffic light 71.4408 -
traffic sign 75.2194 -
vegetation 93.194 -
terrain 71.6728 -
sky 95.4146 -
person 84.4275 65.6052
rider 68.4379 45.2961
car 95.5347 88.6245
truck 71.4808 35.5755
bus 83.122 47.2869
train 76.5624 46.9408
motorcycle 63.0428 40.9017
bicycle 73.0981 58.8221

 

Category results

Category IoU iIoU
flat 98.6339 -
nature 92.8869 -
object 69.7056 -
sky 95.4146 -
construction 92.8097 -
human 84.6108 66.8848
vehicle 94.6893 86.6227

 

Links

Download results as .csv file

Benchmark page