IBM hopes 1 million faces will help fight bias in facial recognition
IBM thinks the data being used to train facial recognition systems isn't diverse enough.
The tech giant released a trove of data containing 1 million images of faces taken from a Flickr dataset with 100 million photos and videos.
The images are annotated with tags related to features including craniofacial measurements, facial symmetry, age and gender.
Researchers at the company hope that these specific details will help developers train their artificial intelligence-powered facial recognition systems to identify faces more fairly and accurately.
And then the police adopted the new facial recognition algorithms and everyone lived happily ever after.
IBM blog post. Also at TechCrunch and VentureBeat.
(Score: 3, Insightful) by Azuma Hazuki on Thursday January 31 2019, @06:39PM
The kind of person who posts the shit "physicsmajor"--oops, pardon me, just some AC who is in no way at all physicsmajor--posts, is not going to listen to reality. He, and this has *got* to be a he, Has A Narrative. And if the data don't fit The Narrative (TM), then the data are wrong and/or don't exist, and he will simply ignore them.
I am "that girl" your mother warned you about...