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• W2594259972 abstract "Food is an integral part of our life and what and how much we eat crucially affects our health. Our food choices largely depend on how we perceive certain characteristics of food, such as whether it is healthy, delicious or if it qualifies as a salad. But these perceptions differ from person to person and one person's single lettuce leaf might be another person's side salad. Studying how food is perceived in relation to what it actually is typically involves a laboratory setup. Here we propose to use recent advances in image recognition to tackle this problem. Concretely, we use data for 1.9 million images from Instagram from the US to look at systematic differences in how a machine would objectively label an image compared to how a human subjectively does. We show that this difference, which we call the perception gap, relates to a number of health outcomes observed at the county level. To the best of our knowledge, this is the first time that image recognition is being used to study the misalignment of how people describe food images vs. what they actually depict." @default.
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• W2594259972 date "2017-04-03" @default.
• W2594259972 modified "2023-10-01" @default.
• W2594259972 title "Is Saki #delicious?" @default.
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• W2594259972 doi "https://doi.org/10.1145/3038912.3052663" @default.
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