Deep learning models improve traffic image segmentation accuracy but vary by city and channel.
problem Improving semantic segmentation accuracy for traffic analysis.
method Evaluation of PSPNet and ICNet on Cityscapes and custom urban images.
result Different models have varying accuracy and inference time for different cities and channels.