Can Big Data Online Design Fashion Shoot?

Under the current situation of global economic slowdown and uncertain prospects,

The fashion retailing industry has undoubtedly been greatly affected, and big data are becoming the five elements in their hearts.

If every designer thinks that big data and listening to consumers are the only key to their design, the meaning of their existence can only be confined to the makers, not the creators.

In 2014, 3D printing, Microsoft and Adobe announced the development of Creative Cloud touchscreen optimization technology (in the process of research and development), and high-tech means such as VR virtual reality have been trying to reform the fashion industry. Especially for the core stage of its design and production, technology giants may think that the traditional fashion design industry has strangled those potential talents and slowed down the production process in technology, hoping that the new technology can bring dawn to it.

Last week announced that its search engine will be embedded in specialties.

After the social media function module of fashion brand, another technology platform of Google is aimed at retailers and Project Muze, the outsider of fashion design dream, based on Google's open source AI technology "Deep Dream" (formerly known as the photo authoring platform Inceptionism), the artificial intelligence learning system Tensor Flow, and working together with the German fashion business Zalando and the British digital technology project studio Stinkdigital, aiming to simulate the human brain with data analysis.

In order to pform the "inspiration" in the designer's mouth into a traceable artificial mode of thinking.

In short, after the user login to projectmuze.com, choose gender, preferred music, art category, personality characteristics, age, dressing style and sketching a few strokes on 3D model, the system will automatically generate a series of 3D fashion effect modeling and design motivation and inspiration based on the above information.

However, I'm afraid the overwhelming majority of users will be disappointed with the grotesque products, because the works on screen are far from their own expectations and even their daily dress styles.

The reason for this is due to the analysis of user preferences by Project Muze and the design of large data based on Google's fashion consumption trend report (based on the keyword fever), hundreds of fashion bloggers, designers and analysts.

The user is not the real designer, Project Muze and the data group behind it is the slogan of the platform: Fashion inspired by you, design by code (you provide inspiration, coding finish design).

In addition, users can browse the design draft created by other users.

Google plans to present the fashion products made by Project Muze in its "Bread & Butter" trend exhibition in Zalando in September 2nd. As the "inspiration source" behind it, there are both professional designers and fashion red bloggers.

Project Muze also hopes that these user style inspired fashion models will bring accurate predictions and trends to brands and retailers.

For retailers, this is understandable. Data analysis does help, but in terms of design area, "inspiration" is never as simple as numbers. As Yuval Grali, author of brief history of mankind, claims that data is king is a phenomenon caused by the partial understanding of human cognition, and it can not explain the mystery of "consciousness" in our mind.