Sweatshirt Outfits Simulation Dataset

The current retail e-commerce industry faces the challenge of increasing consumer demand for personalization. Traditional product display methods fail to meet diverse user expectations for fashion combinations. Existing image synthesis technologies still have limitations, such as lack of realism and diversity. This dataset aims to address the technical needs of fashion recommendation systems for diversity in outfit styles and personalized display through high-quality synthetic images. Data collection utilizes advanced computer vision technology, combining various model poses and outfit styles, and is shot in multiple lighting environments. To ensure data quality, we perform multiple rounds of annotation and consistency checks to ensure the accuracy and reliability of the annotations. Data is stored in JPG format, and each image includes detailed style and color information, facilitating subsequent processing and analysis.