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Longitudinal Shoe Study Digital Photos of Shoe Soles
dataset
posted on 2020-10-02, 19:06 authored by Susan VanderplasSusan Vanderplas, Alicia Carriquiry, James Kruse, Guillermo Basulto-Elias, Stacy RenfroPhotos of the soles of 160 pairs of shoes (“Nike Winflo 4” or “Adidas Seeley”; 4 sizes each), with associated measurements and data about shoe wear, surfaces, and wearers. The photos are divided up into 6 zip files.
Each pair of shoes was worn for at least 10,000 steps per week over a 6-month period, with multiple measurements of the shoe soles taken initially and during three check-in periods spaced at approximately 5 week intervals.
The images are accompanied by 3 CSV files describing the shoes, visit (information collected from surveys along with the shoes), and individual images. The codebooks contain descriptions of the variables in each of the CSV files as well as a more extensive description of the file naming scheme outlined in the README.
These files can be used to examine wear pattern development, to verify the presence of randomly acquired characteristics, and to develop algorithms which match photos of shoe soles to the corresponding prints from those soles.
Each pair of shoes was worn for at least 10,000 steps per week over a 6-month period, with multiple measurements of the shoe soles taken initially and during three check-in periods spaced at approximately 5 week intervals.
The images are accompanied by 3 CSV files describing the shoes, visit (information collected from surveys along with the shoes), and individual images. The codebooks contain descriptions of the variables in each of the CSV files as well as a more extensive description of the file naming scheme outlined in the README.
These files can be used to examine wear pattern development, to verify the presence of randomly acquired characteristics, and to develop algorithms which match photos of shoe soles to the corresponding prints from those soles.