Jeans Try-on Effect Image Dataset

The current retail e-commerce industry faces increasingly intense competition, with consumers demanding better shopping experiences and personalized services. However, existing virtual try-on technologies still have many shortcomings, such as unrealistic effects and poor user experience. This dataset aims to provide high-quality jeans try-on effect images with a variety of styles and fitting types to help improve the user's online shopping experience. Data collection uses professional photography equipment in a standardized environment to ensure image quality and realism. To ensure data quality, we have implemented multiple rounds of annotation and consistency checks, reviewed by industry experts, to ensure data accuracy and completeness. The data storage format is JPG, organized by model and jeans style. The core advantage of this dataset is that the annotation accuracy exceeds 95%, the consistency check pass rate is 98%, and using data augmentation techniques enhances sample diversity, expected to increase virtual try-on conversion rates by 30%.