Primer Image Classification Dataset

The current retail e-commerce industry faces complex product diversity and rapid changes in consumer demand in the classification and recommendation of primer products. Existing image classification solutions often rely on manual annotation, leading to inefficiency and insufficient accuracy. This dataset aims to improve the accuracy and efficiency of image recognition by providing high-quality primer images and their classification labels. The data is sourced from various e-commerce platforms, using advanced image capture equipment, and shot under natural light and professional lighting environments. The data annotation has undergone multiple rounds of verification and expert review, ensuring a high level of consistency and accuracy. The data is stored in JPEG format and organized by category for easy subsequent use and retrieval.