Clothes Rack Image Classification Dataset

In the field of smart devices, as smart homes become more popular, user demand for smart clothes racks is increasing. However, there is a lack of high-quality image classification datasets in the market, leading to imprecise recognition and recommendation algorithms for related products. Existing datasets mostly have insufficient sample sizes and varying annotation quality. Therefore, this dataset aims to provide high-quality clothes rack image classification data to support related technological research and product development. The dataset contains 5000 images of different types of clothes racks, all annotated by professionals to ensure consistency and accuracy. Data collection was performed using a high-resolution camera in a standardized shooting environment to ensure image quality. For quality control, we implemented multiple rounds of annotation and consistency checks, with final accuracy confirmed by expert review. The data is stored in JPG format, facilitating user access and usage.