Is Saki #delicious? The Food Perception Gap on Instagram and Its Relation to Health
February 21, 2017 ยท Declared Dead ยท ๐ The Web Conference
"No code URL or promise found in abstract"
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Authors
Ferda Ofli, Yusuf Aytar, Ingmar Weber, Raggi al Hammouri, Antonio Torralba
arXiv ID
1702.06318
Category
cs.CY: Computers & Society
Cross-listed
cs.CV,
cs.SI
Citations
67
Venue
The Web Conference
Last Checked
3 months ago
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.
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