论文标题
建立旨在将时尚行业与AI公司联系起来的可互操作数据协议
Towards an Interoperable Data Protocol Aimed at Linking the Fashion Industry with AI Companies
论文作者
论文摘要
时装行业期待使用人工智能技术来增强其流程，服务和应用。尽管目前正在使用的时尚数据数量正在增加，但时装行业与相关AI公司之间的数据交换差距很大，更不用说每个时尚数据集使用的不同结构了。结果，AI公司依靠手动注释的时尚数据来构建不同的应用程序。此外，在撰写本文时，用于表示时尚项目的数据表示的术语，词汇和方法仍然模棱两可和令人困惑。因此，很明显，时装行业和AI公司将从一项协议中受益，该协议使他们能够以统一的方式交换和组织时尚信息。为了实现这一目标，我们的目标是定义一个称为DDOIF的协议，该协议将允许时尚数据的互操作性； （2）DDOIF包含不同的实体，包括以文本和各种媒体格式的形式的服装和配件属性的广泛信息； （3）设计和实施一个API，其中包括，包括根据DDOIF协议导入和导出文件的功能，该文件存储了有关单个服装的所有信息。为此，我们确定了用于命名时尚项目的1000多个类和子类名称，并使用它们来构建DDOIF字典。我们向所有感兴趣的用户和开发人员公开使用DDOIF，并期待与更多的合作者一起改善和丰富它。
The fashion industry is looking forward to use artificial intelligence technologies to enhance their processes, services, and applications. Although the amount of fashion data currently in use is increasing, there is a large gap in data exchange between the fashion industry and the related AI companies, not to mention the different structure used for each fashion dataset. As a result, AI companies are relying on manually annotated fashion data to build different applications. Furthermore, as of this writing, the terminology, vocabulary and methods of data representation used to denote fashion items are still ambiguous and confusing. Hence, it is clear that the fashion industry and AI companies will benefit from a protocol that allows them to exchange and organise fashion information in a unified way. To achieve this goal we aim (1) to define a protocol called DDOIF that will allow interoperability of fashion data; (2) for DDOIF to contain diverse entities including extensive information on clothing and accessories attributes in the form of text and various media formats; and (3)To design and implement an API that includes, among other things, functions for importing and exporting a file built according to the DDOIF protocol that stores all information about a single item of clothing. To this end, we identified over 1000 class and subclass names used to name fashion items and use them to build the DDOIF dictionary. We make DDOIF publicly available to all interested users and developers and look forward to engaging more collaborators to improve and enrich it.
