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 78.2812
iIoU Classes 55.7004
IoU Categories 90.5281
iIoU Categories 77.6472

 

Class results

Class IoU iIoU
road 98.6084 -
sidewalk 86.1353 -
building 92.9406 -
wall 54.8112 -
fence 58.2136 -
pole 66.7717 -
traffic light 73.5668 -
traffic sign 76.8654 -
vegetation 93.4109 -
terrain 71.3425 -
sky 95.5998 -
person 85.4356 66.7556
rider 70.3028 47.516
car 95.5202 89.3575
truck 66.4656 35.8607
bus 82.2655 50.8503
train 79.6969 48.9379
motorcycle 65.2177 45.2535
bicycle 74.1715 61.0719

 

Category results

Category IoU iIoU
flat 98.6356 -
nature 93.0875 -
object 72.7144 -
sky 95.5998 -
construction 93.2134 -
human 85.4135 67.8615
vehicle 95.0328 87.433

 

Links

Download results as .csv file

Benchmark page