Method Details


Details for method 'Jiangsu_university_Intelligent_Drive_AI'

 

Method overview

name Jiangsu_university_Intelligent_Drive_AI
challenge pixel-level semantic labeling
details
publication Anonymous
project page / code
used Cityscapes data fine annotations
used external data ImageNet
runtime n/a
subsampling no
submission date August, 2021
previous submissions

 

Average results

Metric Value
IoU Classes 85.343
iIoU Classes 70.0659
IoU Categories 93.1137
iIoU Categories 84.6089

 

Class results

Class IoU iIoU
road 99.0007 -
sidewalk 89.0714 -
building 94.8587 -
wall 71.8372 -
fence 68.6959 -
pole 75.6555 -
traffic light 82.1474 -
traffic sign 84.8132 -
vegetation 94.5026 -
terrain 74.3593 -
sky 96.3079 -
person 90.0364 77.0737
rider 79.3522 62.9395
car 96.9546 92.1875
truck 81.2604 59.5297
bus 95.1665 72.7167
train 89.3767 64.3191
motorcycle 76.8599 60.8799
bicycle 81.2597 70.881

 

Category results

Category IoU iIoU
flat 98.8884 -
nature 94.2438 -
object 80.6099 -
sky 96.3079 -
construction 94.931 -
human 90.1324 78.0493
vehicle 96.6822 91.1685

 

Links

Download results as .csv file

Benchmark page