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The development of food image detection and recognition model of Korean food for mobile dietary management

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BACKGROUND/OBJECTIVES: The aim of this study was to develop Korean food image detection and recognition model for use in mobile devices for accurate estimation of dietary intake.

Food recognitiondeep convolutional neural networks (DCNN)mobile devicedietary assessment

Park, Seon-Joo、Palvanov, Akmaljon、Lee, Chang-Ho、Jeong, Nanoom、Cho, Young-Im、Lee, Hae-Jeung

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Gachon Univ, Coll BioNano Technol, Dept Food & Nutr, 1342 Seongnam Daero, Seongnam Si 13120, Gyeonggi, South Korea

Gachon Univ, Coll IT, Dept Comp Engn, 1342 Seongnam Daero, Seongnam Si 13120, Gyeonggi, South Korea

Korea Food Res Inst, Res Grp Funct Food Mat, Wonju 55365, South Korea

2019

Nutrition Research and Practice

Nutrition Research and Practice

SCI
ISSN:1976-1457
年,卷(期):2019.13(6)
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