Anonymous Results


 

Method overview

challenge pixel-level semantic labeling
used Cityscapes data fine annotations
used external data ImageNet
runtime 43.9 s
Nvidia RTX 4060 Ti GPU
subsampling no

 

Average results

Metric Value
IoU Classes 72.533
iIoU Classes 46.4701
IoU Categories 87.284
iIoU Categories 69.6045

 

Class results

Class IoU iIoU
road 97.834 -
sidewalk 81.2311 -
building 90.6166 -
wall 41.9741 -
fence 46.992 -
pole 55.4714 -
traffic light 64.9474 -
traffic sign 68.368 -
vegetation 91.7007 -
terrain 69.4991 -
sky 94.8923 -
person 79.9201 54.5067
rider 62.8961 37.4691
car 93.3247 84.4989
truck 61.938 27.2384
bus 76.054 39.7441
train 72.3717 39.0503
motorcycle 59.5598 38.8198
bicycle 68.536 50.4333

 

Category results

Category IoU iIoU
flat 98.2465 -
nature 91.3894 -
object 62.7814 -
sky 94.8923 -
construction 90.7485 -
human 80.3272 56.3551
vehicle 92.6028 82.8538

 

Links

Download results as .csv file

Benchmark page