![]() ![]() Do thousands of people take geotagged pictures at a certain location every year? Maybe that location (stadium, landmark, etc) would like to find all the happy smiling people in those pictures and use it for marketing. File that away in the metadata and maybe use it to make their suggestions mean more in searches, etc. Do you always smile when you’re with someone? Maybe it’s a sign you really like them. could make it possible to guess at relationships based just on photos. Sure, Facebook already is pushing to be able to recognize its 750 million users, but that just tells you what everyone looks like. When you start to imagine the potential applications for this technology, it gets really amazing. Among the suggested uses for the new capabilities would be reaction detection in live chats, filtering in dating sites according to mood in profile pics, and selecting the best photos for display. Similarly, the API can now detect smiles, parted lips, and kissing lips, further refining the classification. Now, when sorting through photos, a developer could use the API to organize them according to how you felt at the time the pic was taken. The API can recognize when you are happy, sad, surprised, angry, or neutral and gives a confidence interval on that analysis. Not only is the code quite capable in finding faces and matching them against others in the databases you provide, it is now able to detect moods and expressions. That’s very impressive, but when you look at all the API can do, it just makes sense. According to a recent newsletter, in the past twelve months their API has gone from a few dozen developers to over 20,000. The Israeli facial recognition company ABC News interviews is, who we discussed a little over a year ago with the launch of their API. It’s a pretty awesome feature, and as of early June it was available “in most countries.” On June 30th, Facebook announced it had prompted its 750 million active users 2.7 billion times to try the automated tagging process, often with the rather ambiguous box on your homepage labeled “Photos are better with friends.” Naturally some privacy activists groups are crying foul, worrying that although the Photo Tag Suggest only works on your friends Facebook is collecting huge amounts of data on our appearance. Soon there after, Facebook could automatically suggest who was in each picture, making tagging quick and easy. Awesome or creepy?įacebook quietly rolled out their in-house facial recognition (Photo-Tag Suggest) in the US last December, allowing users to tag their friends, teaching the social network who was who. ’s API can now detect your mood and expression. If that idea makes you uneasy, don’t worry, the social network of the future knows exactly how you feel. Facial recognition has grown so sophisticated, and cheap, that it seems it will soon leave no photo untagged, no mood unrecorded. They’ve already prompted the use of such facial scanning 2.7 billion times in the past six months! Learn more about their push for automated tagging in the video below. In related news, Facebook (using its own software) has been automatically using facial recognition to tag photos you upload since December of last year. is the creator of the popular PhotoFinder and PhotoTagger apps on Facebook, so you may soon see that capability on the social network as well as among the 20,000 developers who use the API. Now, not only can the API tell who you are, it can say whether you were happy, sad, smiling, or even kissing. , makers of a top notch facial recognition API, recently announced it was now capable of detecting the moods and expressions of people in photos it scans. Does the internet know when you’re smiling? That’s a rhetorical question. ![]()
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