NVIDIA has released Flickr-Faces-HQ (FFHQ), a dataset of 70,000 high-resolution images of human faces. The dataset includes faces representing a wide range of ages and ethnicities, and the images also include humans wearing accessories such as eyeglasses, sunglasses, and hats. Researchers can use this dataset for multiple purposes, including training and testing generative adversarial networks. For example, NVIDIA used the dataset to develop StyleGan, an AI tool that generates realistic human faces.
Spurring AI Development With a High-Quality Face Dataset
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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