Traffic Sign Image Segmentation using U-Net Architecture Based on Convolutional Neural Network
The findings establish U-Net as a robust segmentation foundation for downstream traffic sign recognition, while motivating future work on architectural refinements to improve boundary-level precision for curvilinear signs and the adoption of recall loss functions to further regulate the recall–precision trade-off and m...