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 73.36
iIoU Classes 43.3316
IoU Categories 86.9293
iIoU Categories 69.0522

 

Class results

Class IoU iIoU
road 98.3173 -
sidewalk 83.6976 -
building 91.1108 -
wall 52.7083 -
fence 51.5909 -
pole 52.3267 -
traffic light 62.9822 -
traffic sign 68.1955 -
vegetation 91.5934 -
terrain 68.7134 -
sky 94.0262 -
person 79.197 53.8066
rider 62.4668 34.6362
car 94.6573 85.6616
truck 71.5096 27.7563
bus 77.6873 38.8398
train 67.106 31.0737
motorcycle 58.3328 27.7322
bicycle 67.6204 47.1468

 

Category results

Category IoU iIoU
flat 98.3479 -
nature 91.2223 -
object 60.367 -
sky 94.0262 -
construction 91.312 -
human 79.5186 55.1503
vehicle 93.711 82.9542

 

Links

Download results as .csv file

Benchmark page