This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3229) Web-based and Mobile Health Interventions (4018) Research Instruments, Questionnaires, and Tools (738) Innovations and Technology for Healthy Eating Education (487) Artificial Intelligence (2129) Instruments and Questionnaires for Nutrition and Food Intake (211) mHealth for Data Collection and Research (1196) Machine Learning (2076)

Published on in Vol 9 (2025)

This is a member publication of Bibsam Consortium

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70124, first published .
Image-Based Dietary Assessment Using the Swedish Plate Model: Evaluation of Deep Learning–Based You Only Look Once (YOLO) Models

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

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

Authors of this article:

Gustav Chrintz-Gath1 Author Orcid Image ;   Meena Daivadanam2 Author Orcid Image ;   Laran Matta2 Author Orcid Image ;   Steve McKeever1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Gustav Chrintz-Gath   1 * , MSocSc ;   Meena Daivadanam   2 * , MBBS, MPH, PhD ;   Laran Matta   2 * , MMedSci ;   Steve McKeever   1 * , BSc(Eng), MSc, DPhil

1 Department of Informatics and Media, Uppsala University, Uppsala, Sweden

2 Global Health and Migration Unit, Department of Women’s and Children’s Health, Uppsala University, Uppsala, Sweden

*all authors contributed equally

Corresponding Author: