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

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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Autores principales: Xiang Chen, Evelyn Johnson, Aditya Kulkarni, Caiwen Ding, Natalie Ranelli, Yanyan Chen, Ran Xu
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
nutrition assessment
food image
image recognition
restaurant
food environment
FAFH
Nutrition. Foods and food supply
TX341-641
Acceso en línea:https://doaj.org/article/8483ce4ee3624e2f8d0ddc8f6c08c300
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