![]() ![]() “When we started building visual search, it’s one of the things we noticed, that we’re able to match products and brands surprisingly well despite having, initially when we started out, a very small computer vision team,” said Pinterest’s engineering manager for visual search, Dmitry Kislyuk.Ĭomputer vision is something of a Rorschach test. But Pinterest believes it has an edge when it comes to not only recognizing objects in an image but the brands those objects belong to. So are Amazon, Google, Facebook, IBM and others. Pinterest isn’t the only major tech company teaching computers how to see. 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. 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. Pinterest is trying to make that picture a reality. ![]() But now your phone knows and shows you some recipes that incorporate it. In the past to identify it, you would pull up this picture later and try to come up with a string of keywords to enter into a text box or show it to someone in the produce department at your grocery store in hopes they know. But you have no idea what it is or what to do with it, and the seller is busy with another customer. Picture this: You’re checking out a produce stand at the local farmer’s market and see a weird mango-like thing. ![]()
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