Research on traffic sign image recognition and classification methods based on CNN
A light-weight multi-scale attention convolutional neural network that has strong robustness under conditions such as poor lighting, raindrops, haze, occlusion, and faraway small targets, with moderate model size, computing power consumption, and inference speed is introduced.