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 81.7604
iIoU Classes 61.338
IoU Categories 91.7887
iIoU Categories 81.1502

 

Class results

Class IoU iIoU
road 98.6633 -
sidewalk 86.7287 -
building 93.9269 -
wall 62.4333 -
fence 62.7954 -
pole 70.4594 -
traffic light 77.516 -
traffic sign 81.1323 -
vegetation 93.9568 -
terrain 72.3431 -
sky 95.9162 -
person 87.8228 71.845
rider 74.1488 51.9922
car 96.2878 91.0935
truck 76.5327 46.9248
bus 87.9626 57.3398
train 85.1744 55.469
motorcycle 71.0456 50.8344
bicycle 78.6019 65.2053

 

Category results

Category IoU iIoU
flat 98.7432 -
nature 93.6329 -
object 76.2517 -
sky 95.9162 -
construction 94.0953 -
human 88.0428 72.7202
vehicle 95.839 89.5803

 

Links

Download results as .csv file

Benchmark page