使用机器学习识别绘画中的闪电

Sansha Gupta, Jason Ziemons, E. Trengove
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摘要

本杰明·富兰克林在雷雨天气里放风筝,对闪电的本质进行了著名的研究,从那时起,他就与闪电紧密联系在一起。从1776年到1785年,他是第一位驻法国巴黎的美国外交官。他在法国成为了一个受人崇拜的人物,从硬币到鼻烟壶,他的肖像被复制在各种各样的东西上。由于富兰克林与闪电的概念密切相关,这项研究试图确定在他担任外交官期间,法国绘画中对闪电的描绘数量是否有所增加。我们使用机器学习来识别卢浮宫博物馆数据库中画作中的闪电。尽管富兰克林在巴黎期间,闪电画的数量似乎并没有增加,但这项研究仍然是机器学习在艺术作品中的一个有趣应用。
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Using Machine Learning to Identify Lightning in Paintings
Benjamin Franklin has been closely associated with lightning ever since his famous investigation into the nature of lightning by flying a kite during a thunderstorm. From 1776 until 1785 he was the first American diplomat in Paris, France. He became a cult figure in France and his portrait was reproduced on everything from coins to snuffboxes. Since Franklin is so intimately connected to the idea of lightning, this study sought to determine whether there was an increase in the number of depictions of lightning in paintings in France around his time there as a diplomat. We used machine learning to identify lightning in paintings from the Louvre museum's database. Although there did not seem to be an increase in paintings of lightning around the time that Franklin was in Paris, the study is nonetheless an interesting application of machine learning to art works.
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