Data Driver

Blog archive

Microsoft Finds New Use for Database: Guessing Your Age

Forget all that techy Azure Big Data stuff -- Microsoft found a new way to put databases to work that's really interesting: guessing your age from your photo.

Threatening to upstage all the groundbreaking announcements at the Build conference is a Web site where you provide a photo and Microsoft's magical machinery consults a database of face photos to guess the age of the subjects.

Tell me you didn't (or won't) visit How-Old.net (How Old Do I Look?) and provide your own photo, hoping the Azure API would say you look 10 years younger than you are?

I certainly did. But it couldn't find my face (I was wearing a bicycle helmet in semi-profile), and then I had to get back to work. But you can bet I'll be back. So will you, right? (Unless you're one of those fine-print privacy nuts.)

Why couldn't Ballmer come up with stuff like this? Could there be a better example of how this isn't your father's Microsoft anymore?

Microsoft machine learning (ML) engineers Corom Thompson and Santosh Balasubramanian explained in a Wednesday blog post how they were fooling around with the company's new face-recognition APIs. They sent out a bunch of e-mails to garner perhaps 50 testers.

How Old Do I Look?
[Click on image for larger view.] How Old Do I Look? (source: Microsoft)

"We were shocked," they said. "Within a few hours, over 35,000 users had hit the page from all over the world (about 29k of them from Turkey, as it turned out -- apparently there were a bunch of tweets from Turkey mentioning this page). What a great example of people having fun thanks to the power of ML!"

They said it took just a day to wire the solution up, listing the following components:

  • Extracting the gender and age of the people in the pictures.
  • Obtaining real-time insights on the data extracted.
  • Creating real-time dashboards to view the results.

Their blog post gives all the details about the tools used and their implementation, complete with code samples. Go read it if you're interested.

Me? It's Friday afternoon and the boss is 3,000 miles away -- I'm finding a better photo of myself and going back to How-Old.net. I'm sure I don't look a day over 29.

In fact, I'll do it now. Hold on.

OK, it says I look seven years older than I am. I won't even give you the number. Stupid damn site, anyway ...

Posted by David Ramel on 05/01/2015


comments powered by Disqus

Featured

  • Creating Reactive Applications in .NET

    In modern applications, data is being retrieved in asynchronous, real-time streams, as traditional pull requests where the clients asks for data from the server are becoming a thing of the past.

  • AI for GitHub Collaboration? Maybe Not So Much

    No doubt GitHub Copilot has been a boon for developers, but AI might not be the best tool for collaboration, according to developers weighing in on a recent social media post from the GitHub team.

  • Visual Studio 2022 Getting VS Code 'Command Palette' Equivalent

    As any Visual Studio Code user knows, the editor's command palette is a powerful tool for getting things done quickly, without having to navigate through menus and dialogs. Now, we learn how an equivalent is coming for Microsoft's flagship Visual Studio IDE, invoked by the same familiar Ctrl+Shift+P keyboard shortcut.

  • .NET 9 Preview 3: 'I've Been Waiting 9 Years for This API!'

    Microsoft's third preview of .NET 9 sees a lot of minor tweaks and fixes with no earth-shaking new functionality, but little things can be important to individual developers.

  • Data Anomaly Detection Using a Neural Autoencoder with C#

    Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items.

Subscribe on YouTube