Sunscreen Products Image Classification Dataset

Currently, the retail e-commerce industry faces challenges such as low efficiency in product classification and difficulties in consumer search, especially with sunscreen products, where customers find it hard to quickly locate the required items. Existing image classification solutions lack accuracy and response speed. This dataset aims to improve the accuracy and efficiency of product recognition through high-quality images of sunscreen products and their classification labels. The dataset is constructed using high-end cameras and professional lighting environments to ensure image quality. We have implemented a rigorous quality control process, including multiple rounds of annotation and expert review, to ensure data consistency and accuracy. Data is stored in JPG format and organized in a folder structure for easy direct use.