![]() ![]() Singh and his two cofounders started experimenting with logging logos in social-media photos this past summer. ![]() Singh says big companies such as Coca-Cola and Nike are trying out the service. That’s potentially useful for those trying to target ads and make decisions about business partnerships. Eventually, gazeMetrix’s information could lead to insights about subjects like which other products a company’s customers prefer. “One thing that’s absolutely clear to us is it’s an indicator of how visible those brands are in people’s lives,” Singh says.Ĭompanies can use gazeMetrix to see how often their brand logos pop up on Instagram (and soon other services, too), and to respond to the people posting these images. The company is one of several trying to analyze images for marketing and advertising purposes, making it easier for companies to track and promote their brands online and perhaps target ads more accurately to consumers.Īs images become an increasingly popular form of social content, such analysis makes sense: collecting “likes,” tracking hashtags, and mining tweets and comments for mentions of a brand can be helpful, but images show more precisely how people are using (and sharing) products like Nike running shoes. Singh is CEO and cofounder of gazeMetrix, a startup that uses computer vision and machine learning to recognize brand logos in photos shared on social-media sites. Among the 40 million images that people post to Instagram each day are a slew of sunsets, puppies, and-according to Deobrat Singh-Starbucks coffee cups. ![]()
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