Leather Jacket Fitting Simulation Dataset

The current retail e-commerce industry is facing significant challenges in user experience, especially in online shopping for clothing items, where consumers cannot truly perceive the fit and style of the garment. Most existing virtual fitting solutions rely on simple image processing techniques and cannot provide a personalized and highly realistic fitting experience. Therefore, developing a high-quality leather jacket fitting simulation dataset aims to help customers achieve a better experience in online shopping through high-precision image synthesis technology. This dataset will combine various models and diverse clothing styles to meet the needs of different users. Data collection uses high-resolution cameras in a professional photography studio to ensure image clarity and color reproduction. We implement multiple rounds of annotation and consistency checks to ensure high data quality. Additionally, images are stored in JPG format for quick loading and use.