Pajamas AI Try-on Collection

With the rapid growth of the e-commerce industry, consumers are increasingly demanding better online shopping experiences, especially in the clothing sector. The lack of try-on experiences has become a significant barrier to purchasing decisions. Existing virtual try-on technologies largely rely on static images and fail to meet users' personalized needs, leading to a suboptimal experience. To address this issue, this dataset aims to provide diverse synthesized pajamas images to support AI model training and enhance users' virtual trial experiences. Data collection employed advanced 3D modeling technology, capturing images in various settings with professional photography equipment to ensure image quality and diversity. We have implemented strict quality control measures, including multiple rounds of annotation and expert reviews, to ensure data consistency and accuracy. The data is stored in JPG format, structured for easy access and processing.