Researchers from Microsoft and the Swedish KTH Royal Institute of Technology have published Grocery Store Dataset, a dataset of 5,125 images of grocery store items, to improve systems that aid people with visual impairments when shopping. The dataset includes images of 81 product types, such as bananas, lemons, and papaya, from 18 different grocery stores, as well as product descriptions and nutritional information for each item.
Helping the Visually Impaired Shop for Groceries
Michael McLaughlin is a research analyst 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.
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