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A Century of Portraits: A Visual Historical Record of American High School Yearbooks

机译:肖像世纪:美国高中年鉴的视觉历史记录

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Many details about our world are not captured in written records because they are too mundane or too abstract to describe in words. Fortunately, since the invention of the camera, an ever-increasing number of photographs capture much of this otherwise lost information. This plethora of artifacts documenting our "visual culture" is a treasure trove of knowledge as yet untapped by historians. We present a dataset of 37,921 frontal-facing American high school yearbook photos that allow us to use computation to glimpse into the historical visual record too voluminous to be evaluated manually. The collected portraits provide a constant visual frame of reference with varying content. We can therefore use them to consider issues such as a decade's defining style elements, or trends in fashion and social norms over time. We demonstrate that our historical image dataset may be used together with weakly-supervised data-driven techniques to perform scalable historical analysis of large image corpora with minimal human effort, much in the same way that large text corpora together with natural language processing revolutionized historians' workflow. Furthermore, we demonstrate the use of our dataset in dating grayscale portraits using deep learning methods.
机译:关于我们世界的许多细节未在书面记录中捕获,因为它们太平凡或太抽象而无法用语言描述。幸运的是,由于相机的发明,越来越多的照片捕获了许多原本会丢失的信息。记录我们“视觉文化”的大量人工制品是历史学家尚未使用的知识宝库。我们提供了37,921张正面朝上的美国高中年鉴照片的数据集,这些数据使我们能够使用计算来瞥见历史视觉记录,而这些历史记录非常庞大,无法手动进行评估。收集的肖像提供了内容不断变化的恒定参考框架。因此,我们可以使用它们来考虑诸如十年来定义风格元素或随着时间的流逝时尚和社会规范趋势之类的问题。我们证明了我们的历史图像数据集可以与弱监督的数据驱动技术一起使用,以最少的人工就可以对大型图像语料库进行可扩展的历史分析,这与大型文本语料库和自然语言处理彻底变革了历史学家的方法相同。工作流程。此外,我们演示了使用深度学习方法在约会人像灰度肖像中使用我们的数据集。

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