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 78.2998
iIoU Classes 55.3652
IoU Categories 90.4457
iIoU Categories 77.9613

 

Class results

Class IoU iIoU
road 98.5404 -
sidewalk 85.5821 -
building 92.7828 -
wall 52.826 -
fence 57.9457 -
pole 65.9141 -
traffic light 73.0305 -
traffic sign 76.901 -
vegetation 93.5266 -
terrain 71.1474 -
sky 95.3407 -
person 85.2664 66.7271
rider 68.2044 46.109
car 95.8265 89.6329
truck 71.2016 37.6507
bus 83.3455 50.0794
train 82.464 50.0588
motorcycle 63.4584 41.5542
bicycle 74.3916 61.1092

 

Category results

Category IoU iIoU
flat 98.6644 -
nature 93.1212 -
object 72.1419 -
sky 95.3407 -
construction 93.2483 -
human 85.4521 68.1134
vehicle 95.1512 87.8092

 

Links

Download results as .csv file

Benchmark page