Improving the Ability of AI to Recognize Landmarks – Center for Data Innovation

Google has released Google-landmarks-v2, a dataset containing over 5 million images of more than 200,000 landmarks to foster the development of systems that can recognize specific objects, such as distinguishing Niagara Falls from other waterfalls. Google used a worldwide community of hobbyist photographers to label the images and has announced challenges that include cash prizes totaling $50,000 for participants who can build systems that can recognize landmarks in an image or find all images showing a specific landmark.

Michael McLaughlin is a research assistant at the Center for Data Innovation. He researches and writes about a variety of issues related to information technology and Internet policy, including digital platforms, e-government, and artificial intelligence. Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He received his Master’s in Communication at Stanford University, specializing in Data Journalism.