Maternity Wear Image Classification Dataset

With the rapid development of the e-commerce industry, the demand for maternity wear is gradually increasing. However, current image classification technology still faces challenges in accuracy and data scarcity when identifying different styles of maternity wear. Most existing solutions rely on manual labeling, which is inefficient and prone to errors. This dataset aims to improve the accuracy of automated classification by providing high-quality images of maternity wear products to meet the growing needs of e-commerce platforms. Data collection uses professional cameras under standardized environments to ensure image clarity and consistency. Additionally, the data undergoes multiple rounds of labeling and expert review to ensure consistency and accuracy in labeling, and is ultimately stored in JPG format. The dataset's organizational structure is clear, facilitating subsequent model training and application.