Method Details


Details for method 'MT-base_cv'

 

Method overview

name MT-base_cv
challenge pixel-level semantic labeling
details
publication Anonymous
project page / code
used Cityscapes data fine annotations, coarse annotations
used external data ImageNet
runtime n/a
subsampling no
submission date July, 2022
previous submissions

 

Average results

Metric Value
IoU Classes 86.187
iIoU Classes 72.1834
IoU Categories 93.259
iIoU Categories 85.2425

 

Class results

Class IoU iIoU
road 98.9097 -
sidewalk 89.0828 -
building 94.9569 -
wall 72.5778 -
fence 72.3631 -
pole 76.3379 -
traffic light 82.0641 -
traffic sign 85.0568 -
vegetation 94.5685 -
terrain 74.9888 -
sky 96.3422 -
person 90.4708 79.1
rider 80.8275 64.4981
car 96.7359 91.4277
truck 82.7262 60.9967
bus 95.4537 73.1697
train 92.2124 70.9138
motorcycle 79.6399 64.2817
bicycle 82.2384 73.0797

 

Category results

Category IoU iIoU
flat 98.8854 -
nature 94.3582 -
object 81.1172 -
sky 96.3422 -
construction 95.0873 -
human 90.4878 79.8401
vehicle 96.5348 90.6449

 

Links

Download results as .csv file

Benchmark page