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How Pinterest has developed computer-vision technology to power visual search for users and brands

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Pinterest wants to do for visual search what Google has done for text search.
Since assembling a small team to develop computer-vision technology in 2014, the search-slash-social platform — where each month 175 million people organize, share and, increasingly, find ideas ranging from food recipes to interior design to outfits to tattoos — has been working on ways to make images searchable like text. Its work has evolved from picking out images that look alike to identifying objects within images to converting images into search queries to, most recently, targeting ads based on images.
For the complete story of how Pinterest has trained its computers to index objects within images and how it is opening up its visual search platform to brands, read the full article read the full article on MarTech Today.

About The Author

Tim Peterson has been covering the digital marketing industry since 2011. He has reported for Advertising Age, Adweek and Direct Marketing News. A born-and-raised Angeleno who graduated from New York University, he currently lives in Los Angeles. He has broken stories on Snapchat’s ad plans, Hulu founding CEO Jason Kilar’s attempt to take on YouTube and the assemblage of Amazon’s ad-tech stack; analyzed YouTube’s programming strategy, Facebook’s ad-tech ambitions and ad blocking’s rise; and documented digital video’s biggest annual event VidCon, BuzzFeed’s branded video production process and Snapchat Discover’s ad load six months after launch. He has also developed tools to monitor brands’ early adoption of live-streaming apps, compare Yahoo’s and Google’s search designs and examine the NFL’s YouTube and Facebook video strategies.

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