Method Details


Details for method 'TuSimple_Coarse'

 

Method overview

name TuSimple_Coarse
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 September, 2016
previous submissions 1

 

Average results

Metric Value
IoU Classes 77.7441
iIoU Classes 53.2376
IoU Categories 90.1215
iIoU Categories 76.0114

 

Class results

Class IoU iIoU
road 98.446 -
sidewalk 85.2323 -
building 92.6498 -
wall 54.5055 -
fence 55.1889 -
pole 64.3194 -
traffic light 73.0872 -
traffic sign 77.3385 -
vegetation 93.3123 -
terrain 72.5489 -
sky 95.2877 -
person 84.649 64.3274
rider 66.5296 43.2634
car 95.5252 88.7404
truck 68.5814 37.2649
bus 84.9058 49.8505
train 76.4891 45.3552
motorcycle 65.076 40.4425
bicycle 73.4649 56.6563

 

Category results

Category IoU iIoU
flat 98.6106 -
nature 92.9946 -
object 71.3868 -
sky 95.2877 -
construction 92.8896 -
human 84.9248 65.5072
vehicle 94.7563 86.5155

 

Links

Download results as .csv file

Benchmark page