Longitudinal Shoe Study: 2D Scan Images

Images of shoe prints from 160 pairs of shoes (“Nike Winflo 4” or “Adidas Seeley”; 4 sizes each) made using a 2D digital scanner (EverOS EverSpry) with associated measurements and data about shoe wear, surfaces, and wearers.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 look for the presence of identifying characteristics among shoes with similar features, and to develop algorithms for matching shoes based on individualizing characteristics.

本数据集包含160双鞋的鞋印图像（包括“耐克Winflo 4”或“阿迪达斯Seeley”品牌，每款鞋包含4个尺码），这些图像是通过二维数字扫描仪（EverOS EverSpry）获取的，并附带有关鞋磨损、表面和穿着者的测量数据。每双鞋在6个月的时间里每周至少行走10,000步，鞋底在最初及随后的三个检查期间（约每隔5周进行一次）进行了多次测量。图像配套三个CSV文件，分别描述了鞋子、访问信息（包括来自调查的信息和鞋子）以及单个图像。代码簿中包含了每个CSV文件中变量的描述，以及README中详细说明的文件命名方案的扩展描述。这些文件可用于研究磨损模式的发展，寻找具有相似特征的鞋子中的识别特征，以及开发基于个性化特征的鞋子匹配算法。