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 81.1233
iIoU Classes 61.9897
IoU Categories 92.1518
iIoU Categories 82.9928

 

Class results

Class IoU iIoU
road 98.7628 -
sidewalk 87.6348 -
building 93.8342 -
wall 58.5681 -
fence 62.0869 -
pole 72.5806 -
traffic light 79.7499 -
traffic sign 82.0781 -
vegetation 94.08 -
terrain 73.6589 -
sky 95.8052 -
person 88.3227 74.9454
rider 75.0623 56.0522
car 96.445 91.4964
truck 74.2668 43.2538
bus 83.2993 55.2246
train 73.2105 54.1426
motorcycle 72.9051 52.9527
bicycle 78.9919 67.8501

 

Category results

Category IoU iIoU
flat 98.7918 -
nature 93.8036 -
object 77.9293 -
sky 95.8052 -
construction 94.2482 -
human 88.4952 76.0637
vehicle 95.9894 89.9219

 

Links

Download results as .csv file

Benchmark page