Children's Dress Image Classification Dataset

The current retail e-commerce industry faces challenges such as a wide variety of products and consumer difficulty in choosing, especially in the field of children's clothing, where the accuracy of product recognition and classification directly affects sales and user experience. Existing solutions often rely on manual annotation, which is inefficient and prone to error. This dataset aims to address the need for automatic recognition and classification by providing high-quality images of children's dresses. The dataset is collected from various e-commerce platforms using web crawling technology, ensuring sample diversity. Data quality control is conducted through multiple rounds of annotation, consistency checks, and expert review to ensure accuracy and consistency of the annotations. Data is stored in JPG format and organized in a folder structure for easy subsequent reading and processing.