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Vision-Language Models for Image-Based Dietary Assessment: A Benchmark of Accuracy, Cost, and Prompt Strategies Across Ten Models

2026-07-29

Abstract excerpt

<h4>Background</h4> Dietary assessment is the cornerstone of clinical management and research studies evaluating diet and health. Traditional methods such as food diaries and 24-hour recalls can be burdensome, prone to recall bias, and difficult to adhere to. Image-based dietary assessment using vision-language models (VLMs) offers a potential solution. <h4>Objective</h4> Our goal was to benchmark state-of-the-a...

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Literature Corpus work
b222bb40-307e-5ccd-8635-906cccc2f494
DOI
10.64898/2026.07.26.740845
Open publication

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Vision-Language Models for Image-Based Dietary Assessment: A Benchmark of Accuracy, Cost, and Prompt Strategies Across Ten ModelsDOI 10.64898/2026.07.26.740845
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