An Exploratory Approach to Deriving Nutrition Information of Restaurant Food from Crowdsourced Food Images: Case of Hartford

Deep learning models can recognize the food item in an image and derive their nutrition information, including calories, macronutrients (carbohydrates, fats, and proteins), and micronutrients (vitamins and minerals). This technology has yet to be implemented for the nutrition assessment of restauran...

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Detalles Bibliográficos
Autores principales: Chen, Xiang, Johnson, Evelyn, Kulkarni, Aditya, Ding, Caiwen, Ranelli, Natalie, Chen, Yanyan, Xu, Ran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8617678/
https://www.ncbi.nlm.nih.gov/pubmed/34836387
http://dx.doi.org/10.3390/nu13114132

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8617678/
https://www.ncbi.nlm.nih.gov/pubmed/34836387
http://dx.doi.org/10.3390/nu13114132

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