Long Skirt Dynamic Fitting Image Dataset

The current retail e-commerce industry faces the challenge of consumers finding it difficult to judge the effect of clothing when shopping online. Traditional static fitting images cannot meet consumers’ needs for dynamic effects. Existing virtual fitting solutions have limitations such as low image quality and single style, which fail to provide customers with a good shopping experience. This dataset aims to help solve the decision-making difficulties users face when selecting clothing by providing high-quality long skirt dynamic fitting images. The dataset includes a variety of skirt styles and different model poses, suitable for image generation and recognition-related deep learning training. Data collection was conducted using high-resolution cameras under different lighting conditions, with professional models performing dynamic fittings. For quality control, we implemented multiple rounds of annotation and consistency checks to ensure data accuracy and reliability. The data is stored in JPG format, organized by category and style, to facilitate subsequent use and expansion.