Lip Gloss Product Image Classification Dataset

The current retail e-commerce industry faces challenges such as low product recognition accuracy and inefficient classification. Traditional image classification methods often fail to meet the rapidly changing market demands. Existing solutions lack precision and richness in image annotation, making it difficult to effectively support product recommendations and search engine optimization. This dataset aims to provide high-quality lip gloss product images to support more accurate product classification and recommendation. The dataset collects a large number of lip gloss images through the internet, using high-resolution equipment to ensure image clarity and quality. Each image is annotated and consistency-checked multiple times, with final confirmation by a professional review team to ensure annotation accuracy and consistency. Data is stored in JPG format and organized by category to facilitate subsequent processing and retrieval.