The Algorithm That 'Sees' Beauty In Photographic Portraits
KentuckyFC (1144503) writes "Beauty is in the eye of the beholder. But what if the beholder is a machine? Scientists from Yahoo Labs in Barcelona have trained a machine learning algorithm to pick out beautiful photographic portraits from a collection of not-so-beautiful ones. They began with a set of 10,000 portraits that have been rated by humans and then allowed the algorithm to "learn" the difference by taking into account personal factors such as the age, sex and race of the subject as well as technical factors such as the sharpness of the image, the exposure and the contrast between the face and the background and so on. The trained algorithm was then able to reliably pick out the most beautiful portraits. Curiously, the algorithm does this by ignoring personal details such as age, sex, race, eye colour and so on and instead focuses only on technical details such as sharpness, exposure and contrast. The team say this suggests that any subject can be part of a stunning portrait regardless of their looks. It also suggests that "perfect portrait" algorithms could be built in to the next generation of cameras, rather like the smile-capturing algorithms of today."
Now all pictures will tend to be the same with the algorithm telling the amateur photographer how to frame the shot.
Never answer an anonymous letter. - Yogi Berra
The good news for many of us is that that the visual qualities of the person in the photographic have little impact on the beauty of the resulting portrait. “We find that race, gender, and age are largely uncorrelated with photographic beauty,” Instead, many of the factors that do correlate with beauty relate to the technical quality of the image. “Aesthetic score is related to sharpness of facial landmarks, image contrast, exposure, homogeneity, illumination pattern, uniqueness, and originality,”
So, no worries, here.
Slashdot, fix the reply notifications... You won't get away with it...
We should be teaching machines to help us, not emulate our flaws and biases. beauty and ugliness, rich and poor, black and white, these are all concepts that in technology hold no relevance or meaning because theyre metrics by which we categorize and qualify people in often arbitrary and flawed ways.
Good people go to bed earlier.
i know some asian people and their idea of beauty is different than european. but for us europeans, this is old news. most models used on magazine covers and beauty queens have had similar facial shapes and features for decades. i remember seeing feminists on Maury and other talk shows in the 80's complaining how the media had a narrow view of beauty.
Why? They asked people to rate the images based on personal factors AND technical factors, and found you could get the same ratings using only technical factors. What is wrong with that?
Marilyn Monroe could pull off a potato sack
She could, but for some reason she's kept it on in all of those photos.
systemd is Roko's Basilisk.
... is that by and large, there are some technical features that most humans - or at least most humans that the scientists from Yahoo Labs in Barcelona used to train this computer - agree create a beautiful image.
Knowledge is how to play a game, intelligence is how to win, wisdom is knowing what game to play.
My guess is what they've really determined is that:
1. Better photographers take better pictures, and also are more competent technically (ie. they take sharp, well-lit pictures)
2. People put more effort into getting technicals right when they're shooting something beautiful
Taking sharper photos of dull objects will only get you so far; the correlation is due to stuff that's deeper and harder to control: the subject and the photographer's skill/effort.
Let's not stir that bag of worms...
If (RND(1)>0.5),"beautiful", "not beautiful";