Image-Based Dietary Assessment Using the Swedish Plate Model: Evaluation of Deep Learning–Based You Only Look Once (YOLO) Models

While YOLO-based models, particularly YOLOv8, show strong potential for food and portion recognition aligned with dietary models, further refinement is needed. Improvements in model architecture and greater diversity in training data are essential before these systems can be reliably deployed in health and dietary monitoring applications.