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China'S AI Innovation Force Deeply Learning Cool Demo

2017/2/13 15:03:00 68

Artificial IntelligenceCode Long TechnologyBig Data

It is reported that the results of the "deep learning Cool Demo competition" held in the world were announced in January 2017. Finally, 14 entries, including security, medical care and fashion commodity types, came to the fore. They won the Pascal Titan X GPU award from the global visual computing technology industry leader and the inventor of GPU (NVIDIA), and became the leader of "deep learning" in the world.

Code technology

(Malong Technologies) is one of the deep cooperation projects with the China Textile Information Center and the national textile product development center.

On behalf of China's artificial intelligence innovation force, it stands on the international stage.


It is an artificial Intelligent Company focused on leading deep learning and computer vision technology breakthroughs. It is committed to building visual decision engine and providing customized computer vision solutions for enterprises.

The "deep learning helps China's textile and clothing color trend forecast analysis" project, which won the international honor, is the witness of the application of AI in the field of fashion.

At the 2016 China Textile Innovation annual meeting, the founder and CEO Huang long long, a co-founder of the technology company, systematically introduced the project and received wide attention from people inside and outside the industry.

At the 2016 China Textile Innovation annual meeting, the technical representative of the company signed a photo with the China Textile Information Center and the national textile product development center.

"Fashion color trend research" completed by China Textile Information Center, national textile product development center and deep cooperation of code technology

Artificial intelligence image recognition technology

By extracting color information from big data analysis, we developed the world's first AI fashion color and trend analysis system, and implanted the ProductAI technology vision application platform, which can predict the color trend of fabric demand, thereby optimizing production and supply chain channels, and effectively enhancing the initiative of textile fabrics enterprises as the upstream industry chain.

Attachment:

It is reported that artificial intelligence fashion color and trend analysis system has collected and extracted massive pictures from the global fashion show, trained by deep neural network, and the computer can automatically select the main characters in the picture box.

Even when the image background is complex, it is still possible to cut the outline of the characters accurately.

Next, after selecting and separating the main characters, we can further identify the costumes worn by the characters and remove the color interference such as skin and accessories.

ProductAI, the core technology product of the technology company, is an artificial intelligence vision platform for enterprise customers to provide "commodity identification", "image recognition" and "map search".

ProductAI AI vision application platform can distinguish fine color differences better than human beings.

In fashion photographs, the colors of clothing will be listed accurately.

At the same time, ProductAI can also handle well.

Dress design

The gradient, color, decoration and other complex situations.

After extracting all the colors, ProductAI will be classified according to the brightness and chroma of the color, and the color detected will be arranged according to the proportion in the clothing, so that the color display bar can be generated.

ProductAI not only has high accuracy in image recognition, but also has high processing power.

It can complete the above image color extraction process in milliseconds.

Through artificial intelligence, information in big data is excavated, and can be displayed in a rich and intuitive way.

This helps industry experts to more effectively and systematically screen effective information in big data and greatly improve the efficiency of fashion trend research.

More interesting reports, please pay attention to the world clothing shoes and hats net.


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