Smart Data Refrigerator Image Classification Dataset

With the rapid development of the smart home industry, smart refrigerators, as an important component, face challenges in image recognition technology due to diverse product forms and complex environments. Existing image classification solutions often rely on limited datasets, resulting in poor performance in recognizing new products. This dataset aims to provide a diverse set of refrigerator image samples to meet the market demand for efficient recognition technology in smart devices. Data is collected using high-resolution cameras under different lighting and background conditions to ensure image quality. For quality control, we conducted multiple rounds of annotation and consistency checks to ensure data accuracy and reliability. The final data is stored in JPG format, organized into folders named by category, facilitating subsequent retrieval and management.