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Machine Learning–Based Screening of Healthy Meals From Image Analysis: System Development and Pilot Study

Machine Learning–Based Screening of Healthy Meals From Image Analysis: System Development and Pilot Study

We employed the same MLRA, and trained its CNN using meal images manually ranked in terms of healthiness. One difference between learning the rank of landscape images and learning the rank of meal images is that the healthiness of meals should be estimated solely from the foods or ingredients. Accordingly, meals that contain the same ingredients but are photographed on different plates should be estimated to have the same healthiness.

Kyoko Sudo, Kazuhiko Murasaki, Tetsuya Kinebuchi, Shigeko Kimura, Kayo Waki

JMIR Form Res 2020;4(10):e18507