The Most Photographed Food in the U.S.
Trover is an application and a website for photo sharing.
Trover made an in-depth analysis of photos using Google’s Vision A.I. technology. This pre-trained machine learning model identifies various things in pictures, including emotions, writing, and different things, including many types of food and drink. The technology is capable of classifying these objects with a vast range of labels, such as ‘fried food,’ ‘Buffalo wings,’ ‘cocktail,’ and ‘mojito.’
For this analysis, all photos were uploaded to Trover from the United States through Google’s Vision A.I. to identify the types of food and drink a shot. It gave a broad listing of labels. Then this list of tags has classed into broad groups, such as ‘Italian food,’ ‘Fast food’ and ‘Alcohol.’ As there were various overall amounts of photos from each U.S. state, then estimated the predominance of each group in each state to generate an aggregate ranking for the group. The U.S. state, where the photos in a group had the most significant percentage of all food photos in the U.S. state, came top of the ranking.
