Generating Training Data Using Composite Images for Food Recognition by Deep Learning

In order to achieve highly accurate recognition by deep learning, it is necessary for humans to assign correct labels to many training images. In this study, we propose a method for efficient training by combining images of only one type of food, which can be labeled automatically, to solve the problem of segmentation of mixed food.