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 81.4523
iIoU Classes 62.1342
IoU Categories 92.1571
iIoU Categories 82.6371

 

Class results

Class IoU iIoU
road 98.7747 -
sidewalk 87.7251 -
building 93.5741 -
wall 52.7785 -
fence 61.437 -
pole 72.297 -
traffic light 79.3437 -
traffic sign 82.5152 -
vegetation 94.0799 -
terrain 73.8127 -
sky 95.9362 -
person 88.3372 74.6421
rider 74.6946 55.2695
car 96.3045 91.1481
truck 72.9604 41.5142
bus 87.3664 55.9026
train 83.3232 58.7487
motorcycle 73.4099 52.7642
bicycle 78.9228 67.0846

 

Category results

Category IoU iIoU
flat 98.8181 -
nature 93.8205 -
object 77.7703 -
sky 95.9362 -
construction 94.1822 -
human 88.6556 75.7095
vehicle 95.9172 89.5647

 

Links

Download results as .csv file

Benchmark page