The resulting datasets are typically meant for academic work, like training or testing a facial-recognition algorithm. This frequently means using Creative Commons-licensed images from Flickr, pulling images from Google Image search, snagging them from public Instagram accounts or other methods (some legitimate, some perhaps not). Jessamyn Westįor years researchers have turned to the internet to collect and annotate photos of all kinds of objects - including many, many faces - in hopes of making computers better understand the world around them. “I think if anybody had asked at all, I would have had a different feeling,” she said.Ī link to this image Jessamyn West took in 2013 was included in IBM's Diversity in Faces dataset. But something about not knowing that this image, along with other Creative Commons-licensed pictures she took - a self-portrait and about a dozen other shots - were included in a facial-recognition dataset bothered her. She had uploaded it to Flickr with a Creative Commons license that lets others use the photo. The woman who shot the image, a librarian in rural Vermont named Jessamyn West, was surprised and angry when she found out the photo was being used by IBM. It was among a million images that IBM harnessed for a new project that aims to help researchers study fairness and accuracy in facial recognition, called Diversity in Faces. ![]() The picture, which was uploaded to photo-sharing site Flickr in 2013, isn’t just adorable with a bunch of different faces in various positions, it’s also useful for training facial-recognition systems, which use artificial intelligence to identify people in photos and videos. ![]() ![]() The photo is undeniably cute: a mom and a dad - he with a stubbly beard and rimless glasses, she with choppy brown hair and a wide grin - goofing around and eating ice cream with their two toddler daughters.
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