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 82.4632
iIoU Classes 63.4957
IoU Categories 91.8503
iIoU Categories 81.9181

 

Class results

Class IoU iIoU
road 98.6861 -
sidewalk 86.965 -
building 93.7936 -
wall 60.7842 -
fence 63.801 -
pole 70.9197 -
traffic light 77.9142 -
traffic sign 81.8238 -
vegetation 93.9466 -
terrain 72.6557 -
sky 96.0151 -
person 87.604 72.9023
rider 74.1515 53.6462
car 96.2396 91.6137
truck 76.3673 48.0611
bus 93.5846 59.1526
train 91.0555 63.4269
motorcycle 72.3679 53.0737
bicycle 78.1256 66.0892

 

Category results

Category IoU iIoU
flat 98.742 -
nature 93.659 -
object 76.8693 -
sky 96.0151 -
construction 94.0812 -
human 87.6912 73.7841
vehicle 95.8943 90.052

 

Links

Download results as .csv file

Benchmark page