One of the key features afforded by the fusion of photo sharing and social networking is people tagging. On services such as Facebook and Flickr, adding information to identify the people in photos is as easy as clicking/tapping a face and telling the service who that subject is.
Instagram this morning announced that it’s joining in on the people-tagging fun. The company has released a new “Photos of You” feature that makes tagging a person as easy as adding a hashtag.
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. Magnum has decided to tackle this problem by crowdsourcing it, asking for volunteers to sift through the photographs and add useful information. For the trial run they’re looking for 50 volunteers, which shouldn’t be hard to find given the hundreds of thousands of followers they have on sites like Twitter and Facebook.
Maybe they should take a page out of Google’s book by turning image tagging into a game!
(via Popular Photography)
Tagging friends in massive group photographs is about to get a whole lot easier. Facebook has just announced “tag suggestions”, which uses facial recognition technology to automatically group together photographs that have the same face in them.
Because photos are such an important part of Facebook, we want to be sure you know exactly how tag suggestions work: When you or a friend upload new photos, we use face recognition software—similar to that found in many photo editing tools—to match your new photos to other photos you’re tagged in. We group similar photos together and, whenever possible, suggest the name of the friend in the photos. [#]
While many people will probably opt for the old fashioned tagging method to have more control over the process, this feature will undoubtedly save many users a good deal of time. The feature will begin rolling out to users in the US over the next few weeks.