Longitudinal Shoe Study Digital Photos of Shoe Soles

Photos 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.本数据集包含160双鞋（耐克Winflo 4（Nike Winflo 4）或阿迪达斯Seeley（Adidas Seeley），每款各4种尺码）的鞋底照片，以及与鞋类磨损状况、接触表面及穿着者相关的配套测量数据与信息。所有照片被划分为6个ZIP压缩包。每双鞋均在6个月的周期内每周至少穿着行走10000步，研究人员会在初始阶段以及每隔约5周的三次随访阶段，对鞋底进行多次测量。该图像数据集附带3个CSV文件，分别用于描述鞋类基本信息、随访信息（通过问卷收集的与鞋履相关的信息）以及单张图像的相关信息。代码手册（codebooks）中包含各CSV文件内变量的详细说明，同时还对README文档中概述的文件命名方案进行了全面阐释。该数据集可用于研究鞋底磨损模式的演变过程、验证随机获得特征的存在性，以及开发能够将鞋底照片与对应鞋底印痕进行匹配的算法。