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 Why isn't there an easy way to identify the people in this photo?

It's a question educational archivist George Bunting has asked himself many times over the years.

Knowing this is a challenge shared by colleagues at other educational institutions, it drove him to reach out to software entrepreneur and face recognition guru Ray Ganong to see if there might be a solution. With a background in online data storage and experience with photo tagging solutions through his role with Applied Recognition Inc., Ray immediately understood the value such a solution could provide.  He agreed to advise George on technology direction and an agreement was formed to use the best-in-class Applied Recognition software to power the solution.
The result is WhoZatFace,
an online service that uses crowd-sourced face tagging to privately and securely identify people in group photos.
The fact is,
while it's become exponentially easier to take photos, the ability to capture the associated "metadata" has scarcely advanced at all. There are millions of photos, each with dozens or hundreds of people in them, whose identities are undocumented, thus a bit of history is lost forever. Even group photos taken "for the record" aren't capturing this information. A prime example is the school/college panoramic photograph – hundreds of people and not one of them identified!
Until WhoZatFace
there simply wasn't an efficient way to accomplish the task of identifying, naming and sharing this information for photos of large groups. By doing so, archivists are able to accurately record and preserve the history contained within these images.
What types of organizations find the most value in WhoZatFace?
Schools, colleges, universities, sports teams, corporations - WhoZatFace is the solution of choice for any organization searching for an easy way to identify people in group photos. It also provides a unique new way to engage alumni to be part of their personal history and that of their alma mater.

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