Nutrient and Food Group Prediction as Orchestrated by an Automated Image Recognition System in a Smartphone App (CALO mama): Validation Study
BackgroundA smartphone image recognition app is expected to be a novel tool for measuring nutrients and food intake, but its performance has not been well evaluated. ObjectiveWe assessed the accuracy of the performance of an image recognition app called CALO mama...
Main Authors: | Yuki Sasaki, Koryu Sato, Satomi Kobayashi, Keiko Asakura |
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Format: | Article |
Language: | English |
Published: |
JMIR Publications
2022-01-01
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Series: | JMIR Formative Research |
Online Access: | https://formative.jmir.org/2022/1/e31875 |
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