Image-Based Dietary Assessment

Nowadays, the pervasive utilization of smartphones, combined with the constant progressions in the fields of AI, mHealth systems, and computer vision, presents an exciting prospect for both professionals and individuals to track and record their dietary habits on a daily basis . This is made possible through the utilization of dietary assessment applications, systems, and intelligent devices . Nutritional assessment applications have been devised to automatically monitor, record, and compute an individual’s daily dietary consumption without requiring their active participation. The main parts of the proposed image-based dietary assessment system using smartphone food photos are: (i) the food image dataset; (ii) the image segmentation subsystem; (iii) the image classification subsystem; (iv) the volume or weight estimation subsystem; and (v) the nutritional database .