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 81.8624
iIoU Classes 62.6611
IoU Categories 91.9526
iIoU Categories 82.4502

 

Class results

Class IoU iIoU
road 98.7979 -
sidewalk 87.7479 -
building 93.7956 -
wall 59.2159 -
fence 62.9317 -
pole 71.4014 -
traffic light 78.6778 -
traffic sign 81.4508 -
vegetation 94.017 -
terrain 73.2567 -
sky 95.8985 -
person 88.1199 74.5534
rider 75.0544 55.8791
car 96.3958 91.1264
truck 75.0968 45.4305
bus 88.3452 57.5934
train 83.1125 55.1758
motorcycle 73.1215 54.2587
bicycle 78.9492 67.2715

 

Category results

Category IoU iIoU
flat 98.7824 -
nature 93.7193 -
object 76.9299 -
sky 95.8985 -
construction 94.1891 -
human 88.2259 75.4622
vehicle 95.9234 89.4383

 

Links

Download results as .csv file

Benchmark page