Facial Cleanser Product Image Classification Dataset

In the current retail e-commerce industry, the diversity and competitiveness of facial cleanser products are continuously increasing, posing challenges for merchants on how to effectively identify and classify products to enhance user experience. Currently, many existing image classification solutions rely on simple feature matching and cannot accurately handle subtle differences in products, resulting in insufficient classification accuracy. This dataset aims to help merchants improve product recognition accuracy and meet the demand for personalized recommendations by providing high-quality facial cleanser product images. Data collection is conducted using high-resolution cameras under standard lighting conditions to ensure image clarity. To ensure data quality, multiple rounds of annotation and consistency checks are employed, with all annotation results reviewed by experts. The data will be stored in JPEG format and organized according to image ID to facilitate quick retrieval and use.