IMAGO：用于20世纪社会历史分析的家庭相册数据集
IMAGO: A family photo album dataset for a socio-historical analysis of the twentieth century
AI总结：
本研究介绍了IMAGO家庭相册数据集，采用深度学习方法分析1845-2009年的老照片以判定其年代与社会历史背景，为社会历史研究提供了新的技术路径与数据支撑。
摘要：
尽管家庭相册是19世纪末以来最流行的摄影实践形式之一，但学术界对其的研究兴趣增长始于20世纪80年代初。这类照片集能够揭示特定文化与时代的社会学和历史洞见。然而，它们大多散落在私人家庭中，仅以纸质或摄影胶片形式存在，这使得历史学家、社会文化人类学家、文化理论家等学者的分析工作极为繁琐。本文分析了IMAGO数据集，该数据集包含自2004年起在博洛尼亚大学里米尼校区收集的家庭相册照片。研究采用基于深度学习的方法，利用IMAGO数据集提供的机会，对1845年至2009年间拍摄的照片开展实验，目标是在不使用任何其他信息源的情况下，判定图像的拍摄年代与社会历史背景。分析结果超出了我们的最初预期，其价值不仅体现在本研究所采用方法的性能上，还体现在可预见的影响以及对社会历史研究的助益作用。据我们所知，这是文献中沿此方向开展的首项研究。
英文摘要：
Although one of the most popular practices in photography since the end of the 19th century, an increase in scholarly interest in family photo albums dates back to the early 1980s. Such collections of photos may reveal sociological and historical insights regarding specific cultures and times. They are, however, in most cases scattered among private homes and only available on paper or photographic film, thus making their analysis by academics such as historians, social-cultural anthropologists and cultural theorists very cumbersome. In this paper, we analyze the IMAGO dataset including photos belonging to family albums assembled at the University of Bologna's Rimini campus since 2004. Following a deep learning-based approach, the IMAGO dataset has offered the opportunity of experimenting with photos taken between year 1845 and year 2009, with the goals of assessing the dates and the socio-historical contexts of the images, without use of any other sources of information. Exceeding our initial expectations, such analysis has revealed its merit not only in terms of the performance of the approach adopted in this work, but also in terms of the foreseeable implications and use for the benefit of socio-historical research. To the best of our knowledge, this is the first work that moves along this path in literature.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
