infimind-pg电子平台

core functions

deep tagging aifashion can quickly detect and recognize all apparel in pictures uploaded by users, show the type, high-precision frame and pixel-level graph cut of every item, and automatically identify commodity attribute information (including but not limited to: collar shape, sleeve shape, style, texture, target users, material, washing method, size, etc.). in addition, it can archive those pictures automatically for the application on e-commerce or picture platforms.

camera search based on the pictures or videos uploaded by users, aifashion is designed to understand visual fashion elements of apparel in pictures and analyzes pictures and texts in an intelligent manner and sorts out the same or similar goods in seconds. this technology is applied in e-commerce, retail, fashion and other industries.

styling recommendation compared with other categories of commodities, apparel is more dependent on visual information to be styled and identified as similar items. aifashion is designed to understand visual fashion elements of apparel in pictures and quickly retrieve the best similar or matching entries from the specified data sets. based on massive database and ai technology, we provide the most trendy styling recommendations for users.

analysis of fashion trends aifashion, built on a massive fashion database, analyzes fashion trends according to our structured data and different time granularities, and supports computation in multiple dimensions such as apparel attribute, type and brand. it can interpret and analyze fashion trend in a real-time and accurate manner, and help designers, retailers, brand owners and manufacturers make more precise business decisions.

core technologies

image vision technology

based on deep learning and computer vision technology, aifashion uses intelligent detection algorithm to recognize apparel goods in pictures, understands visual fashion elements, and quickly performs retrieval, recommendation, matching and other tasks. it can precisely detect different clothes in complex scenarios in milliseconds.

big data analysis and calculation

with a massive database of fashion industry, such as international and domestic goods, shows, street snaps and design inspirations, we have established a multi-dimensional and structured big data system for fashion industry and launched multi-mode and customizable search engine, fashion trend analysis and other big data application products.

natural language expert in fashion industry

by sorting out and learning massive data from e-commerce, fashion contents, social media and other sources, we have built fashionkg, an exclusive fashion repository with millions of entries, which may be applied to word segmentation, machine translation, q&a system and other natural language processing operations in fashion field.

deep customization terminal

we have developed software plus hardware solutions applicable to terminal devices, empower smart clothes styling devices, apply the data and algorithm capabilities of aifashion to offline apparel retail and provide comprehensive hardware ecosystem solutions, such as customized system, algorithm module and cloud services.

core technologies

image vision technology

big data analysis and calculation

natural language expert in fashion industry

deep customization terminal

client cases

jd.com

jd.com, as the largest self-support e-commerce enterprise in china, launched jd(x) for developing fashion retailing by embedding personalized recommendation and intelligent clothing matching technology of aifashion in 2018. “instant match after photographing” and cross-category “guess you like” functions rapidly help build picture-oriented search engines. based on users’ habits, jd(x) can provide intelligent goods recommendation services, optimize diversified shopping paths, increase visit duration, and improve conversion rate. aifashion can also provide an additional customized screening portal for jd(x) so that its users can receive clothing matching recommendations after browsing specific brands or stores, thereby increasing their purchase frequency and order values.

xiaohongshu

xiaohongshu is a lifestyle platform and consumption decision portal for young people, with over 300 million registered users as of july 2019. after being integrated with aifashion, xiaohongshu can promptly and accurately identify and recognize goods in the pictures uploaded by users, achieving efficient interconnectivity between ugcs and business generated information and facilitating the integration and transformation of social and e-commerce attributes of the platform.

ycloset

ycloset is an innovative fashion monthly subscription service for women. by virtue of auto-tagging technology of aifashion, it can generate all attribute information and marketing write-ups with one click at new arrivals’ launch, which effectively reduces labor cost and improves background operation efficiency. when users search for clothes, the picture-based identification modules are used to achieve efficient interconnectivity between ycloset’s ugc and business information, and to improve user viscosity and conversion rates.

baozun

baozun provides integrated e-commerce solutions for branded enterprises and retailers. with picture-based search, personalized recommendation, auto-tagging and other functions of aifashion, it can achieve more user conversion and flow to improve benefits of e-commerce platforms in its operation.