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主观美学数据集

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arXiv2016-09-19 更新2024-06-21 收录
下载链接:
http://www.inf-cv.uni-jena.de/en/subjective_aesthetic_dataset
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资源简介:
主观美学数据集是由弗里德里希·席勒大学创建,包含281幅来自36位著名画家的西方绘画作品,涵盖从15世纪到20世纪的艺术风格。数据集通过Wikimedia Commons平台收集,确保了高质量的数字复制品。创建过程中,通过非专家观察者对画作进行主观评分,以评估其美学质量。该数据集主要用于研究颜色在绘画美学评估中的作用,旨在通过计算技术识别与美学感知相关的图像属性。

The Subjective Aesthetics Dataset was developed by Friedrich Schiller University of Jena. It encompasses 281 Western paintings created by 36 distinguished artists, spanning artistic styles from the 15th through the 20th century. Collected via the Wikimedia Commons platform, the dataset ensures access to high-quality digital reproductions of these works. During its development, non-expert observers were employed to carry out subjective scoring of the paintings to evaluate their aesthetic quality. This dataset is primarily used to investigate the role of color in the aesthetic assessment of paintings, with the goal of identifying image attributes associated with aesthetic perception through computational techniques.
提供机构:
弗里德里希·席勒大学
创建时间:
2016-09-19
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