This dataset contains information about the sales of shoes in a particular region. The data includes information on the brand, model, type of shoe, gender, size, color, material, and price.

Column Details

Brand: The brand of the shoe, such as Nike, Adidas, or Reebok.

Model: The specific model name or number of the shoe, such as Air Jordan 1, Ultra Boost 21, or Classic Leather.

Type: The type of shoe, such as running, casual, or skate. This column describes the intended use or function of the shoe.

Gender: The gender the shoe is designed for, such as men, women, or unisex. This column specifies the target demographic for the shoe.

Size: The size of the shoe, using US sizing. This column indicates the length of the shoe in inches or centimeters.

Color: The color of the shoe's exterior. This column describes the predominant color or color combination of the shoe.

Material: The primary material of the shoe, such as leather, mesh, or suede. This column indicates the material that comprises the majority of the shoe's construction.

Price: The price of the shoe, in US dollars. This column specifies the cost of purchasing the shoe.

** The purpose of creating this dataset is solely for educational use, and any commercial use is strictly prohibited and this dataset was large language models generated and not collected from actual data sources.

cover image: https://pin.it/6Eb04Gf

1) Data Introduction • The Popular Sneakers Classification Dataset is the latest popular sneaker image dataset released in May 2025, featuring 50 representative model images from different brands, including Nike, Adidas, Converse, Vans, New Balance, Puma, Reebok, Asics, and Salomon.

2) Data Utilization (1) Popular Sneakers Classification Dataset has characteristics that: • A number of high-quality images are provided for each sneaker model, and the dataset is optimized for classification practice as the model name (class) and image information are organized into separate .csv files. • It covers a wide range of models representing streetwear and contemporary fashion trends, including Nike Air Force, Air Max, Air Jordan, Adidas Stan Smith, Yeezy, and Converse Chuck Taylor. (2) Popular Sneakers Classification Dataset can be used to: • Fashion image classification and recommendation: It can be used to build fashion AI services such as developing a sneaker image classification model, automatic tagging of fashion products, and recommendation of similar products. • Streetwear Trend Analysis: Image data by brand and model can be used to analyze popular trends in the sneaker market, plan new products, and survey consumer preferences.