Scarf Matching Simulation Atlas

The current retail e-commerce industry faces increasing consumer demand for personalized shopping experiences. At the same time, the market lacks effective data support for matching suggestions, leading to customers having difficulty making choices. Existing recommendation systems are mostly based on user historical data and lack real-time response to emerging fashion elements. This dataset aims to improve the accuracy of recommendation systems and user experience by providing high-quality scarf matching simulation images. The dataset is constructed using professional photography equipment under natural light conditions to ensure image clarity and realism. It also employs multiple rounds of labeling and expert review to ensure quality and consistency, avoiding labeling errors. The data will be stored in JPG format and organized by image ID for quick retrieval and use.