Trench Coat Virtual Try-On Dataset

The current retail e-commerce industry faces a strong demand from consumers for personalized shopping experiences, especially in the clothing sector. Traditional online shopping methods often fail to meet the users' diverse needs for style and matching. Although existing virtual fitting technologies have made progress, they often lack sufficient image samples, resulting in unrealistic fitting effects that impact user experience. This dataset aims to improve the effectiveness of virtual fitting technology by providing diverse trench coat images to meet users' personalized needs. The dataset includes 5000 high-quality trench coat images covering various styles and colors, supporting tasks such as image generation and style transfer. Data collection uses professional photography equipment, captured under natural lighting conditions to ensure image quality. Each image undergoes multiple rounds of annotation and expert review to ensure the consistency and accuracy of annotations. Data is stored in JPG format, organized into folders categorized by type and style to facilitate subsequent use and retrieval.