Fashion Datasets

Fashion datasets are crucial for training and evaluating AI models in the fashion industry, aiming to bridge the gap between personalized fashion needs and AI-driven design. Current research focuses on generating synthetic datasets using large language models and generative adversarial networks (GANs) to address the scarcity of high-quality, diverse, and annotated real-world data, and on improving existing recommender systems and image retrieval techniques. These advancements are significant for improving virtual try-on technologies, personalized recommendations, and automated fashion design, ultimately impacting both the scientific understanding of fashion and its practical applications in e-commerce and design.