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ABSTRACT: Background
In the domain of dietary assessment, there has been an increasing amount of criticism of memory-based techniques such as food frequency questionnaires or 24 hour recalls. One alternative is logging pictures of consumed food followed by an automatic image recognition analysis that provides information on type and amount of food in the picture. However, it is currently unknown how well commercial image recognition platforms perform and whether they could indeed be used for dietary assessment.Objective
This is a comparative performance study of commercial image recognition platforms.Methods
A variety of foods and beverages were photographed in a range of standardized settings. All pictures (n=185) were uploaded to selected recognition platforms (n=7), and es
SUBMITTER: Van Asbroeck S
PROVIDER: S-EPMC7752530 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature