Identifying people in historical photographs is important for preserving material culture, correcting the historical record, and creating economic value, but it is also a complex and challenging task. In this article, we focus on identifying portraits of soldiers who participated in the American Civil War (1861--65), the first widely photographed conflict. Many thousands of these portraits survive, but only 10%--20% are identified. We created Photo Sleuth, a web-based platform that combines crowdsourced human expertise and automated face recognition to support Civil War portrait identification. Our mixed-methods evaluations of Photo Sleuth one month and 11 months after its public launch showed that it helped users successfully identify unknown portraits and provided a sustainable model for volunteer contribution. We also discuss implications for crowd-AI interaction and person identification pipelines.

中文翻译：

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照片侦探

在历史照片中辨认人物对于保存物质文化、纠正历史记录、创造经济价值具有重要意义，但也是一项复杂而具有挑战性的任务。在本文中，我们将重点介绍参加美国内战（1861--65 年）的士兵的肖像，这是第一次被广泛拍摄的冲突。成千上万的这些肖像幸存下来，但只有 10%--20% 被识别出来。我们创建了 Photo Sleuth，这是一个基于网络的平台，它结合了众包人类专业知识和自动面部识别，以支持内战肖像识别。我们对 Photo Sleuth 公开发布一个月和 11 个月后的混合方法评估表明，它帮助用户成功识别未知肖像，并为志愿者贡献提供了可持续的模型。