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 76.8495
iIoU Classes 51.6277
IoU Categories 89.1524
iIoU Categories 75.2645

 

Class results

Class IoU iIoU
road 98.5384 -
sidewalk 85.3553 -
building 92.3243 -
wall 54.5731 -
fence 56.0409 -
pole 59.9508 -
traffic light 70.2919 -
traffic sign 74.2391 -
vegetation 92.7791 -
terrain 70.5974 -
sky 94.7418 -
person 83.5556 62.8275
rider 67.7301 43.6335
car 95.4778 88.2948
truck 71.3966 35.3103
bus 81.1462 46.6099
train 74.8786 40.7265
motorcycle 63.6936 38.3251
bicycle 72.8309 57.2942

 

Category results

Category IoU iIoU
flat 98.5622 -
nature 92.4427 -
object 67.4087 -
sky 94.7418 -
construction 92.5271 -
human 83.7296 64.3535
vehicle 94.6549 86.1754

 

Links

Download results as .csv file

Benchmark page