Researchers at the University of Illinois have developed a new software for size and shape characterization of riprap materials using image analysis. Riprap is a collection of large broken stones or concrete used along roadways or shoreline as a means of erosion and sediment control. Riprap analysis is currently done manually and is labor intensive and time consuming. This software was developed based on deep learning techniques and provides user-independent image segmentation analysis. This software provides more advances modules for the size and shape characterization than other available methods.