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 71.3938
iIoU Classes 42.9331
IoU Categories 87.9738
iIoU Categories 72.4669

 

Class results

Class IoU iIoU
road 96.8368 -
sidewalk 78.5272 -
building 91.2178 -
wall 50.5392 -
fence 50.836 -
pole 59.3746 -
traffic light 64.0446 -
traffic sign 71.7082 -
vegetation 92.6324 -
terrain 69.9703 -
sky 94.5284 -
person 81.3252 61.1793
rider 61.838 34.6265
car 92.8713 85.7322
truck 56.1423 23.8347
bus 75.616 39.198
train 50.6185 24.4622
motorcycle 50.9864 27.5764
bicycle 66.8683 46.8559

 

Category results

Category IoU iIoU
flat 97.9754 -
nature 92.2958 -
object 65.5684 -
sky 94.5284 -
construction 91.7907 -
human 81.6466 62.196
vehicle 92.0111 82.7377

 

Links

Download results as .csv file

Benchmark page