Age estimated: In reality, Alec Baldwin is 53, so the estimated age range is correct. Photos of actors and models are often judged by Face.com’s system be younger than they really are.
Web users have become used to the idea that most of what they read online—whether it’s Facebook comments or personal e-mails—is scanned by software that tries to serve up relevant ads. But soon online advertising companies may start serving up ads based on the age of people in photos that you’re viewing on a page.
That’s thanks to startup Face.com, which already offers a face-recognition service that websites or apps can use to count the number of faces in a photo, tell their gender, or match them to known individuals. Starting this week, that service will also guess the age of the faces it spots in photos and ad networks and other Web and mobile companies already have plans to use it.
“You send us a photo with a face in it, and it’ll send back an estimate of their age,” says Gil Hersch, CEO and cofounder of Face.com, which is based in Tel Aviv, Israel. To use the service, programmers have their software send photos to Face.com over the Internet and receive back the results of the analysis. Face.com returns an upper and lower range on the age of the face, a specific estimate, and a confidence score. A demonstration site shows the information that Face.com calculates from a photo.
“We heard from a bunch of clients that they’re interested in adding age detection for a variety of applications,” says Hersch. “Ad services is one.” He says some ad services companies are already using the gender-detection capabilities of Face.com’s technology to help choose which ads to display next to a photo.
The operators of video chat sites that pair up strangers have also expressed an interest in age detection, says Hersch. They already use Face.com’s service as a kind of safety feature to ensure that people are showing video of their faces. “They’re trying to match you with other chatters, and age detection could help with that,” says Hersch.
Roughly 45,000 software developers are currently registered to use Face.com’s service, which Hersch says processes “a few billion” photos every month.
Face.com’s ability to guess age comes from training software on a collection of hundreds of thousands of photos that had been labeled by people who made their own attempts to judge the age of people in them. Face.com’s software matches human guesses of the age of a face in a photo about 90 percent of the time, but the company has not compared its accuracy against the true age of people.
When designing an embedded system choosing which tools to use often comes down to building a custom solution or buying off-the-shelf tools.