Abstract
Objectives: Monitoring dietary intakes is critical for assessing population diet-related health and nutritional status, providing essential data to inform public health nutrition interventions. A significant challenge in this process is the accurate estimation of food portion sizes, which often leads to gaps in dietary assessments. This study addresses this issue by evaluating the potential of integrating computer vision technology into dietary assessments to enhance accuracy of portion estimates, and ease of use for the general population.