AUTOMATIC GENERATION OF DAMAGE DESCRIPTIONS FROM BRIDGE IMAGES USING DEEP LEARNING

Abstract

 The bridge images include various information such as the class of the bridge members in addition to the specific damage. The Deep Learning model constructed in this study can generate a description of the damage situation with high accuracy from the bridge images. In addition, the regions that the Deep Learning model focuses on were visualized. It was shown that the Deep Learning model paid attention to the location of the damage and each member when generating sentences. In addition, it was suggested that the Deep Learning model paid attention to not only the damaged members but also the surrounding members.