Study of various image analysis methods using AI with focusing on image classification using no-code apps

Abstract

This study summarizes the results of the Image Analysis WG1, which was held a total of nine times over a period of approximately two years from March 2023 within the AI and Data Science Practical Research Subcommittee of JSCE. The study mainly looked at image classification, which is relatively easier to handle than object detection, and the use of apps that can be used with no-code or low-code, as well as the impact of cropping the training data on the classification of damaged images. As a result, it was found that no-code apps are very useful depending on the subject, and that the effect of cropping images is not that great.