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Updated: Apr 4, 2026

Deep Neural Networks for Image-Based Dietary Assessment

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

Standardized food images: A photographing protocol and image database.

Lisette Charbonnier¹, Floor van Meer¹, Laura N van der Laan¹

¹Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.

|September 8, 2015

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Researchers developed a standardized protocol and image set for food intake studies. This improves comparability and data analysis in obesity research by providing accessible, high-quality food visuals.

Area of Science:

Food science and nutrition
Psychology and behavioral science
Medical research

Background:

Obesity epidemic drives research into food intake regulation.
Food images are convenient tools for studying dietary decisions and anticipatory responses.
Current use of varied food images hinders study comparability and meta-analysis.

Purpose of the Study:

To develop a standardized photographing protocol for generating high-resolution food images.
To create and validate a high-quality, standardized set of food images.
To enhance comparability and facilitate meta-analyses in food intake research.

Main Methods:

A user-friendly photographing protocol was created.
A standardized set of 80 food images was selected based on recognizability across three European countries.

Keywords:

Adults Children Food images High calorie Low calorie Photographing protocol

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Image characteristics (liking, perceived calories, healthiness) were collected from 449 adults and 191 children.

Main Results:

The majority of selected food images were recognized and liked across all tested sites.
Differences in liking, perceived calories, and healthiness ratings between sites were minimal.
Perceived caloric and healthiness ratings strongly correlated with actual content in both adults and children (r ≥ 0.8).

Conclusions:

The developed protocol and standardized image set improve research comparability.
Freely available resources (protocol, images, data) support global standardization of food image databases.
This initiative aids researchers in studying food intake regulation and the obesity epidemic.