Hemraj Parate

Hybrid UNet with ResNe50 Encoder and ASPP for Accurate Road Crack Detection and Segmentation

A deep learning-based crack detection model using a hybrid U-Net architecture enhanced with a pre-trained ResNet50 encoder, Atrous Spatial Pyramid Pooling (ASPP), and attention gates is introduced, showing superior performance in accuracy, Dice coefficient, IoU, precision, and recall compared to traditional CNNs.