A Study on Food Value Estimation From Images: Taxonomies, Datasets, and Techniques

J Sultana, BM Ahmed, MM Masud, AKO Huq… - IEEE …, 2023 - ieeexplore.ieee.org
Monitoring nutritional values in food can help an individual in planning a healthy diet. In
addition, regular dietary assessment can improve and maintain the physical and mental …

[HTML][HTML] Rapid Non-Destructive Analysis of Food Nutrient Content Using Swin-Nutrition

W Shao, S Hou, W Jia, Y Zheng - Foods, 2022 - mdpi.com
Food non-destructive detection technology (NDDT) is a powerful impetus to the
development of food safety and quality. One of the essential tasks of food quality regulation …

OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation

X Wu, S Yu, EP Lim, CW Ngo - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
In the realm of food computing segmenting ingredients from images poses substantial
challenges due to the large intra-class variance among the same ingredients the emergence …

[HTML][HTML] Artificial Intelligence Technology for Food Nutrition

J Zhu, G Wang - Nutrients, 2023 - mdpi.com
Food nutrition is generally defined as the heat energy and nutrients obtained from food by
the human body, such as protein, fat, carbohydrates and so on. Throughout human life …

AI4Food-NutritionFW: A Novel Framework for the Automatic Synthesis and Analysis of Eating Behaviours

S Romero-Tapiador, R Tolosana, A Morales… - IEEE …, 2023 - ieeexplore.ieee.org
Leading a healthy lifestyle significantly reduces the risk of developing Non-Communicable
Diseases (NCD). However, defining and monitoring healthy eating behaviour depends on …

Image-based Thai Food Recognition and Calorie Estimation using Machine Learning Techniques

R Sombutkaew, O Chitsobhuk - 2023 20th International …, 2023 - ieeexplore.ieee.org
A wide range of health-related innovation have been developed to serve as an alternative
personal health monitoring and tracking on exercise and dietary planning. The goal is to …