Face Cream Image Classification Dataset

The current retail e-commerce industry faces intense competition, especially in product display and user experience. As consumer demand for product information increases, traditional product display methods can no longer meet market needs. Existing solutions often lack specificity, leading to information overload for consumers when choosing products. To improve user experience and sales conversion rates, this dataset aims to provide high-quality face cream image classification data to support intelligent recommendations and personalized marketing. The complete structure of the dataset includes fields such as image ID, image link, tags, and descriptions; data collection is conducted using professional photography equipment under standard lighting conditions. To ensure data quality, multiple rounds of annotation and consistency checks are employed, and all annotations are reviewed by industry experts. Data will be stored in JPG format and organized by category. Through such a process, we can ensure high data quality and consistency.