EyCon (Visual AI and Early Conflict Photography)

随着越来越多的博物馆和档案馆将他们的图像收藏数字化，需要新的知识形式和对过去越来越多的图片的探索。计算技术可以处理并帮助可视化成千上万的图像，这将是未来解锁这些数字档案的关键。该项目的主要成就之一是创建了一个关于战时摄影的创新数据库，其中将包括以前未出版的材料。EyCon专注于早期冲突摄影（1890-1918），记录大规模武装暴力，从经常被忽视的殖民运动到第一次世界大战。它被设计成数千张原始照片和印刷图像的集合：尽管规模很大，但由于计算技术，这个集合将变得可扩展。EyCon的任务之一是提高图像中物体的识别能力，这些物体与当前模型训练的照片有很大不同。EyCon还将提供并应用工具来识别照片和当代印刷品中印刷图像之间的相似性，以追溯图像的流通。还将开发和测试整个语料库的各种可视化，以帮助用户以有益的方式浏览大量图像。早期战争图像的大规模发现提出了EyCon将直接解决的广泛的伦理和方法论问题。首先，EyCon将开发解决方案，以克服人工智能技术应用于潜在有争议的视觉遗产时的偏见和不准确性。计算方法不是中立的。它们可能会复制现有的权力结构，或无法解开过去的不平衡关系。EyCon将非常小心地强调远视力的好处和局限性。其次，战时照片可能是非常敏感的材料，特别是在以种族和性别暴力为特征的殖民和帝国背景下。让这些图片以一种合理的方式可用和可共享，这可能会为多种叙事和视角开辟道路，这是该项目的核心。第三，虽然EyCon将帮助恢复数千张图像中的几场冲突的可见性，但它也必须考虑没有被摄像机记录下来的图像，以及可能被大量数字化视觉材料压垮的暴力和冲突形式。EyCon项目将产生以下研究成果：_2个与项目合作伙伴合作组织的研讨会_2个论文集（期刊特刊或编辑卷）_1个集成所有AI功能的演示网站和一个元数据引擎，以探索Huma-Escape和合作机构服务器上的数据。本网站将专为专业和非专业的最终用户。它将被视为一个用户友好的工具，适用于具有或不具有技术专长的每个人。它将使我们能够为想要探索整个Eycon语料库的用户提供更高的可扩展性和智能可视化。一个开源存储库（Gitlab），将使EyCon的脚本和其他工具向广泛的社区开放。这个存储库将有助于数据科学家和开发人员重用项目产生的脚本和数据。这将确保项目代码可在其他项目中复制和使用。档案当然不保留给学术研究人员。演示网站将促进公众参与早期冲突摄影和应用于摄影史的计算方法的主题。相关的社交媒体和专门的Eycon列表服务器将帮助我们与学术界、档案机构等感兴趣的各方建立联系。

As more and more museums and archives are making their image collections digitally available, new forms of knowledge and exploration of this growing mass of pictures from the past are needed. Computational techniques, which can process and help visualise tens of thousands of images, will be key to unlocking these digital archives in the future. One of the main achievements of the project is to create an innovative database on wartime photography that will include previously unpublished material. EyCon focuses on early conflict photography (1890-1918) documenting mass armed violence, from often overlooked colonial campaigns to the First World War. It is designed as a collection of thousands of original photographs and printed images: despite its scale, this collection will be made discoverable thanks to computational techniques. One of EyCon's tasks is to improve the recognition of objects in images that are very different from the photographs current models have trained on. EyCon will also provide and apply tools to identify similarities between photographs and printed images in contemporary prints in order to retrace the circulation of images. Various visualisations of the entire corpus will also be developed and tested to help users navigate a very large collection of images in a rewarding way. The large-scale discovery of early wartime imagery raises a wide range of ethical and methodological issues that EyCon will directly address. First, EyCon will develop solutions to overcome bias and inaccuracies when AI techniques are applied to a potentially contested visual heritage. Computational methods are not neutral. They may reproduce existing power structures or fail to unravel the unbalanced relationships of the past. EyCon will take great care in emphasising both the benefits and limitations of distant vision. Second, wartime photographs can be very sensitive material, especifically in colonial and imperial contexts that are characterised by racial and gendered violence. Making these pictures available and discoverable in a sensible way that might open the way for a multiplicity of narratives and perspectives is central to the project. Third, while EyCon will help restore the visibility of several conflicts in thousands of images, it also has to consider absent images, forms of violences and conflicts that were not recorded by cameras and that can be crushed under the weight of a large mass of digitised visual material.The EyCon project will lead to the following research outputs: _2 workshops organised in collaboration with Project Partners_2 collections of essays (special issues of journals or edited volumes)_1 demo website integrating all AI functionalities and a metasearch engine to explore data held on Huma-Num and partner institutions' servers. This website will be designed for both specialist and non-specialist end-users. It will be conceived as a user-friendly tool for everyone with or without technical expertise. It will allow us to offer increased discoverability and smart visualisations to users who want to explore the entire Eycon corpus._An open-source repository (Gitlab) that will make EyCon's scripts and other tools openly available to a broad community. This repository will be useful for data scientists and developers to reuse the scripts and data produced by the project. This will ensure that the project code is replicable and usable in other projects.Archives are of course not reserved to academic researchers. The demo website will foster public engagement on the topic of early conflict photography and computational methods applied to the history of photography. Associated social media and a dedicated Eycon list-serv will help us connect with interested parties - in academia, archival institutions and beyond.