GANs generate new traffic sign images to improve recognition accuracy.
problem Lack of data limits SqueezeNet's performance in traffic sign recognition.
method Applied pix2pix GANs to translate symbolic sign images to real ones for data augmentation.
result Data augmentation with GANs increased classification accuracy for traffic signs.