Anonymous Results


 

Method overview

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

 

Average results

Metric Value
IoU Classes 66.1564
iIoU Classes 36.0315
IoU Categories 84.3478
iIoU Categories 66.3271

 

Class results

Class IoU iIoU
road 97.2993 -
sidewalk 78.5928 -
building 88.7831 -
wall 43.5251 -
fence 42.086 -
pole 49.3236 -
traffic light 52.5581 -
traffic sign 60.0014 -
vegetation 90.5263 -
terrain 66.8086 -
sky 93.3358 -
person 72.9348 50.5031
rider 53.1468 23.5182
car 91.7846 83.3899
truck 52.9504 19.3246
bus 65.9212 31.4983
train 53.2478 22.5001
motorcycle 44.2348 19.2151
bicycle 59.9118 38.3026

 

Category results

Category IoU iIoU
flat 97.8758 -
nature 90.1245 -
object 56.2099 -
sky 93.3358 -
construction 88.8955 -
human 73.2771 51.4141
vehicle 90.7159 81.2402

 

Links

Download results as .csv file

Benchmark page