Anonymous Results


 

Method overview

challenge pixel-level semantic labeling
used Cityscapes data
used external data
runtime n/a
subsampling 2

 

Average results

Metric Value
IoU Classes 65.4822
iIoU Classes 38.7925
IoU Categories 84.6394
iIoU Categories 68.7169

 

Class results

Class IoU iIoU
road 97.221 -
sidewalk 78.2438 -
building 88.665 -
wall 35.8248 -
fence 44.3498 -
pole 51.7689 -
traffic light 54.9167 -
traffic sign 60.6666 -
vegetation 90.9436 -
terrain 67.5334 -
sky 93.1806 -
person 72.9349 53.0611
rider 52.9075 30.1483
car 91.1964 84.4374
truck 53.1838 17.9784
bus 58.1223 28.9799
train 51.4642 27.857
motorcycle 41.6123 22.5617
bicycle 59.4256 45.316

 

Category results

Category IoU iIoU
flat 97.8885 -
nature 90.6423 -
object 58.0131 -
sky 93.1806 -
construction 88.9664 -
human 73.5145 54.785
vehicle 90.2704 82.6488

 

Links

Download results as .csv file

Benchmark page