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: 2) by Runaway1956 on Thursday January 31 2019, @04:45PM (1 child)
ROFLMAO
(Score: 2) by DannyB on Friday February 01 2019, @09:20PM
It's all due to DannyB's Law Of Conservation Of Political Correctness and Logic, which simply states that:
The amount of logic in a statement multiplied by the amount of political correctness in that statement always remain constant.
You can trade political correctness for logic, and vice versa, but you cannot change the product of those two, for any given statement.
People today are educated enough to repeat what they are taught but not to question what they are taught.