
Tech

Share
21st January 2019
12:23pm GMT

"Me 10 years ago: probably would have played along with the profile picture aging meme going around on Facebook and Instagram. Me now: ponders how all this data could be mined to train facial recognition algorithms on age progression and age recognition."
In an article on Wired Kate further delved into this theory, which suggests that the data collected during the 10-year challenge could be used to train Artificial Intelligence:Me 10 years ago: probably would have played along with the profile picture aging meme going around on Facebook and Instagram Me now: ponders how all this data could be mined to train facial recognition algorithms on age progression and age recognition
— Kate O'Neill (@kateo) January 12, 2019
"Imagine that you wanted to train a facial recognition algorithm on age-related characteristics and, more specifically, on age progression (e.g., how people are likely to look as they get older). Ideally, you'd want a broad and rigorous dataset with lots of people's pictures. It would help if you knew they were taken a fixed number of years apart—say, 10 years."People were quick to point out that Facebook already has this data, through people's profile pictures, but Kate argues that having a bank of data with images side by side could indeed be highly useful and perhaps this is why the challenge was invented.
The theory has gotten so much attention that Facebook was forced to respond:The 10 year challenge is a user-generated meme that started on its own, without our involvement. It’s evidence of the fun people have on Facebook, and that’s it.
— Facebook (@facebook) January 16, 2019
"The 10-year challenge is a user-generated meme that started on its own, without our involvement. It’s evidence of the fun people have on Facebook, and that’s it."
Explore more on these topics:

Article
tech