Yu-Gi-Oh 卡牌艺术数据集

Yu-Gi-Oh 卡牌艺术数据集是由伊利诺伊大学厄巴纳-香槟分校创建的，包含约11,000个样本，涵盖多种类别和风格，如人形角色、机器、武器、自然场景、动物和神话生物。数据集的创建涉及从YGOPRO数据库下载卡牌，提取艺术部分并调整分辨率。该数据集主要用于支持GAN模型在卡牌艺术领域的生成和编辑，旨在帮助艺术家在数字艺术创作中进行风格和内容的探索与控制。

The Yu-Gi-Oh! Trading Card Art Dataset was developed by the University of Illinois Urbana-Champaign. It contains approximately 11,000 samples, covering a wide range of categories and styles including humanoid characters, machines, weapons, natural scenes, animals, and mythical creatures. The dataset construction process involved downloading trading cards from the YGOPRO database, extracting their artwork portions, and adjusting image resolutions. This dataset is primarily designed to support GAN-based generation and editing of card art, with the objective of assisting artists in exploring and controlling both artistic styles and content during digital art creation.