In this independent report fAshIon after fashion, we examine the development of fAshIon (artificial intelligence (AI) in fashion) and explore its potentiality to become a major disruptor of the fashion industry in the near future. To do this, we investigate AI technologies used in the fashion industry through several lenses. We summarise fAshIon studies conducted over the past decade and categorise them into seven groups: Overview, Evaluation, Basic Tech, Selling, Styling, Design, and Buying. The datasets mentioned in fAshIon research have been consolidated on one GitHub page for ease of use. We analyse the authors' backgrounds and the geographic regions treated in these studies to determine the landscape of fAshIon research. The results of our analysis are presented with an aim to provide researchers with a holistic view of research in fAshIon. As part of our primary research, we also review a wide range of cases of applied fAshIon in the fashion industry and analyse their impact on the industry, markets and individuals. We also identify the challenges presented by fAshIon and suggest that these may form the basis for future research. We finally exhibit that many potential opportunities exist for the use of AI in fashion which can transform the fashion industry embedded with AI technologies and boost profits.
翻译:在这份独立报告FASHION之后,我们研究了FASHION(人工智能(AI))的发展,并探讨了其在不久的将来成为时装行业主要干扰器的可能性。为此,我们通过几个镜头调查时装行业使用的AI技术。我们总结了过去十年中进行的FASHION研究,并将其分为七个组:概览、评价、基础技术、销售、装饰、设计和购买。FASHIon研究中提到的数据集已经合并在GITHUB网页上,以便于使用。我们分析了作者的背景和这些研究所处理的地理区域,以确定时装行业研究的格局。我们的分析结果旨在向研究人员提供FASHIon研究的整体观点。作为我们主要研究的一部分,我们还审查了在时装行业应用FASHIon的各种案例,并分析了其对工业、市场和个人的影响。我们还分析了这些作者的背景以及这些研究所处理的地理区域,以确定这些作者的背景和地理区域,以确定FASHION研究的格局研究前景。我们最后认为,FASHI公司可以将利用这些未来的技术。