While companies and researchers around the world work to build the most advanced and powerful AI systems, Facebook has a special treasure trove that most don't: billions of tagged photos thanks to Instagram. Facebook has now used those photos to create a leading image recognition AI.
"All Our Suns" is a new project by NYC telecommunications grad student Michelle Chandra that visualizes the snapping of sunset and sunrise photos around the world using Instagram data.
While you can argue that #selfies have nothing to do with photography as an industry, it's safe to say they've become a staple of a generation in which photography is as easily accessible as it's ever been.
Even if you don't mind selfies though, we might have come across a resource that will overwhelm even the most diehard selfie-takers. It's called Selfeed, and it uses the hashtag "#selfie" to stream a real-time feed of the self-portraits shared on Instagram.
Now here’s an absolutely bizarre statistic if it’s actually true: 76 percent of Facebook photos with tagged Britons show …
Want to play role in the legendary agency Magnum Photos? Well, now you can as a "Magnum Tagger". The cooperative is having a tough time keeping their large archive of historical photographs organized and easily searchable. Of the 500,000 images they've uploaded to the web, about 200,000 have little or no associated metadata.
At the Glastonbury Festival this past weekend, a giant panoramic photograph containing 70,000+ attendees was snapped during the halftime of an England World Cup match. Afterward, the photo was put online and opened up to tagging via Facebook Connect. Since then, over 2,500 faces in the photograph have been tagged, making it (unofficially) the most tagged photo in the world.