Anonymous Results


 

Method overview

challenge pixel-level semantic labeling
used Cityscapes data fine annotations
used external data
runtime n/a
subsampling no

 

Average results

Metric Value
IoU Classes 72.6153
iIoU Classes 51.9406
IoU Categories 88.9103
iIoU Categories 74.5186

 

Class results

Class IoU iIoU
road 97.8725 -
sidewalk 81.9304 -
building 90.8408 -
wall 38.5571 -
fence 49.4166 -
pole 61.5245 -
traffic light 73.033 -
traffic sign 73.9235 -
vegetation 92.3561 -
terrain 70.3348 -
sky 94.5184 -
person 84.1914 60.8152
rider 67.8883 47.8515
car 94.2812 86.9376
truck 53.0077 35.6807
bus 65.375 50.1631
train 60.0298 30.0434
motorcycle 57.2671 45.7869
bicycle 73.3423 58.2461

 

Category results

Category IoU iIoU
flat 98.441 -
nature 92.0323 -
object 68.1111 -
sky 94.5184 -
construction 91.2758 -
human 84.4735 62.6224
vehicle 93.5197 86.4149

 

Links

Download results as .csv file

Benchmark page