Evaluating food portion estimation accuracy with multi-angle photographs Article Swipe
In-Young Choi
,
Mi‐Hyun Kim
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.4162/nrp.2025.19.4.605
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.4162/nrp.2025.19.4.605
The accuracy of food quantity estimation varies depending on the type of food and the shooting angle. For solid foods, 45° provided the best accuracy, whereas 70° was most accurate for beverages. Combining different angles improved the estimation accuracy for most food types.
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All OpenAlex metadata
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https://doi.org/10.4162/nrp.2025.19.4.605Digital Object Identifier
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Evaluating food portion estimation accuracy with multi-angle photographsWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-01-01Full publication date if available
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In-Young Choi, Mi‐Hyun KimList of authors in order
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https://doi.org/10.4162/nrp.2025.19.4.605Publisher landing page
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https://e-nrp.org/Synapse/Data/PDFData/0161NRP/nrp-19-605.pdfDirect link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://e-nrp.org/Synapse/Data/PDFData/0161NRP/nrp-19-605.pdfDirect OA link when available
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Estimation, Computer science, Artificial intelligence, Engineering, Systems engineeringTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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