I. Introduction
The modern field of machine learning has made remarkable progress, and the demand for training data required by machine learning systems is constantly increasing. The quantity and quality of this training data must be of a high standard, and the annotation process requires a great deal of effort, as well as a high level of skill in its creation. In this paper, we first examine the feasibility of automating the annotation process, and show that it is difficult to fully automate the annotation process in practice. Next, we examine the reduction of annotation cost by semi-automation of annotation, design a semi-automatic annotation tool, and conduct experiments to confirm the effectiveness of the tool. Specifically, we will realize semi-automated annotation using the results of machine learning-based image recognition, and verify the effectiveness of our proposal by having university students perform annotation on images.