Method Details


Details for method 'EnsembleModel_Bosch'

 

Method overview

name EnsembleModel_Bosch
challenge pixel-level semantic labeling
details we've ensembled three model(erfnet,deeplab-mobilenet,tusimple) and gained 0.57 improvment of IoU Classes value. The best single model is 73.8549
publication Jin shengtao, Yi zhihao, Liu wei [Our team name was MaskRCNN_BOSH,firefly]
project page / code
used Cityscapes data fine annotations
used external data
runtime n/a
subsampling no
submission date June, 2018
previous submissions

 

Average results

Metric Value
IoU Classes 74.4298
iIoU Classes 48.9372
IoU Categories 88.4858
iIoU Categories 72.9178

 

Class results

Class IoU iIoU
road 98.163 -
sidewalk 83.5814 -
building 91.4158 -
wall 48.453 -
fence 53.6917 -
pole 59.311 -
traffic light 66.759 -
traffic sign 71.8555 -
vegetation 92.5554 -
terrain 70.8547 -
sky 94.5156 -
person 82.3673 60.3573
rider 64.4913 41.0748
car 94.7307 86.2299
truck 61.7588 30.6445
bus 77.4998 44.0171
train 71.1988 40.0528
motorcycle 59.8874 33.7174
bicycle 71.0756 55.404

 

Category results

Category IoU iIoU
flat 98.4864 -
nature 92.191 -
object 66.0381 -
sky 94.5156 -
construction 91.8405 -
human 82.6146 61.7447
vehicle 93.7144 84.0909

 

Links

Download results as .csv file

Benchmark page