Pinterest is now promoting itself as a “visual discovery engine,” where its 300 million global monthly active users can not only browse billions of images but also purchase the items they find there. For most of its users, Pinterest is a go-to place for home décor, gardening and personal style, allowing users to “pin” or post photos to create inspiration boards. According to Pinterest, its AI technology can accurately pinpoint 2.5+ billion objects in photos, millions of which can be purchased by clicking on the item. Continue reading Pinterest Becomes a Visual Discovery Engine for Shopping

Amazon, which launched its new StyleSnap feature to select iOS and Android users in April, will soon make the in-app tool widely available, said company worldwide consumer head Jeff Wilke at the company’s re:MARS AI conference in Las Vegas. Users can reach StyleSnap via a shortcut found by tapping the camera icon in the Amazon app’s upper right-hand corner. Based on image recognition, the machine learning-enabled StyleSnap (and Pinterest Lens competitor) will offer similar items to any photo or screenshot uploaded by a user. The algorithms also incorporate computer vision and deep learning. Continue reading Amazon’s AI-Enabled StyleSnap Is Ideal for Fashion Market

Google and Pinterest, rivals in visual search, are upping their game. After the May debut of Google Lens, which uses machine learning for real-time visual searches, Pinterest unveiled its Lens, which lets the user take a photo of an object with their phone and bring up related objects in search. Now both companies have upgraded visual search: Pinterest is making it a central feature and Google has added new “badges,” which categorize the image being viewed and adds text to describe potential actions. Continue reading Google and Pinterest Leading the Evolution to Visual Search