Home BlogDataset Spurring Facial Recognition Development with a Diverse Dataset

Spurring Facial Recognition Development with a Diverse Dataset

by Michael McLaughlin
by
A man's face with lines and dots to represent the geometry of its features.

IBM has released Diversity in Faces, a dataset of one million images of human faces, to further the development of facial recognition systems. The images in the dataset are from Flickr, and IBM annotates each image with ten different tags to provide data on features such as facial symmetry, length, age, gender, and skin tone.

Get the data.

Image: IBM

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Michael McLaughlin

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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