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 82.8005
iIoU Classes 61.5215
IoU Categories 92.2142
iIoU Categories 81.926

 

Class results

Class IoU iIoU
road 98.8152 -
sidewalk 87.92 -
building 94.0075 -
wall 63.2 -
fence 63.8314 -
pole 72.6622 -
traffic light 79.2772 -
traffic sign 82.4385 -
vegetation 93.9933 -
terrain 73.143 -
sky 96.0952 -
person 88.3977 73.415
rider 75.2209 55.5006
car 96.4616 91.3274
truck 79.5026 42.4377
bus 90.8618 59.6792
train 86.0305 52.1975
motorcycle 72.0958 50.6276
bicycle 79.2549 66.9874

 

Category results

Category IoU iIoU
flat 98.7922 -
nature 93.7628 -
object 78.0363 -
sky 96.0952 -
construction 94.3521 -
human 88.4752 74.4854
vehicle 95.9857 89.3666

 

Links

Download results as .csv file

Benchmark page