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 76.6305
iIoU Classes 53.9124
IoU Categories 90.0867
iIoU Categories 75.0201

 

Class results

Class IoU iIoU
road 98.4042 -
sidewalk 83.7314 -
building 92.0281 -
wall 52.5846 -
fence 57.5527 -
pole 68.0696 -
traffic light 69.672 -
traffic sign 73.953 -
vegetation 93.0461 -
terrain 65.7113 -
sky 94.6676 -
person 85.3886 61.5416
rider 69.9821 49.6732
car 95.8366 89.423
truck 65.0013 30.7773
bus 78.1558 50.5061
train 68.9664 44.0432
motorcycle 66.5572 45.6691
bicycle 76.6713 59.6657

 

Category results

Category IoU iIoU
flat 98.505 -
nature 92.485 -
object 71.9078 -
sky 94.6676 -
construction 92.6876 -
human 85.4635 63.2278
vehicle 94.8908 86.8125

 

Links

Download results as .csv file

Benchmark page