衣+

1.以图搜衣。帮助用户通过“所见即所得”方式寻找身边喜欢的衣服，通过拍照或上传图片搜索出相同和相似款时尚服饰购买并社交。连接图像与人、商品。通过新一代图像识别搜索和深度学习技术来挖掘移动互联网海量图像数据中潜在的商业信息。
2.优化搜索。应用的搜索结果会以图片列表展示，用户还可通过产品类别、颜色、价格等条件改进搜索结果。
3.社交互动。用户可以在上传的图片上加品牌、风格、人物等任意标签，在社区分享照片、互动，看到来自巴黎、米兰、伦敦、纽约的流行趋势。通过导入社交网络熟人关系，得到小伙伴的实名/匿名评价，根据对时尚服饰的兴趣爱好交友。
基本场景：
当用户拍照或选择一个本地的图片，将会得到相同或类似商品“的信息和链接，可以从Amazon，Farfetch, Heels等一百多家合作海内外电商网站购买，征求伙伴的意见和按对时尚风格爱好交友。
辅助场景：
PK明星。通过上传自己穿衣服的照片，根据衣着明星范指数，系统会为你找到你最像的明星。 1 in Figure search clothing. To help users through the "WYSIWYG" way to find around like clothes, pictures or upload pictures by searching out the same or similar fashion models purchased and socializing. Connecting images with people, goods. By a new generation of image recognition technology to search and dig deep learning massive image data in the mobile Internet potential business information.
2 refine your search. Application of the search results will show picture list, users can improve search results by product category condition, color, price and so on.
3 social interaction. Users can add the brand, style, character and other arbitrary label in the community to share photos on picture upload, interactive, see trends from Paris, Milan, London and New York. By introducing social networking acquaintance, get a small partners real name / anonymous evaluation, according to the interest of the fashion hobby friends.
The basic scenario:
When you take a photo or select a local picture, you will get the same or similar goods "of information and links, can be purchased from Amazon, Farfetch, Heels cooperation at home and abroad, such as the electricity supplier more than a hundred sites, partners and press comments on Fashion style loving friends.
Auxiliary scene:
 PK star. By upload your own clothes photo, according to the clothing Star Fan index, the system will find you most like stars for you.