50 jm:lens=zoom lightguard 30 jm:rating=5 23 sightseeing weekendtrip 19 2007 17 france jm:rating=4 16 downtown 13 paris holiday 12 weekend 10 germany lebanon spring 9 food selftimer bynight jm:series=exposure 8 innature freiburg 7 baden longexposure people jm:flstatus=nopromt 6 church jm:exp=1000ms ontheroad interestingness barbeque switzerland 5 jm:refined=noise delete10 restaurant 4 pontalexandreiii light easter holidays jm:flstatus=nopromp alsace jm:refined=cropped 3 amsterdam jm:mode=selftimer chezabati basel waiting redlight grandpalais novartis redlightdistrict atfriends beitchabab italy forrest black herdern reflection netherlands jm:rating=3 district berneroberland window curio montliban inthemountains

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Users: light guard 50

Flickr Hive Mind is a data mining tool for the Flickr photography database, allowing search by: metadata tags; Flickr photography groups; Flickr users and their contacts and favorites; text annotation; the Flickr Explore algorithm for interestingness. Flickr Hive Mind can also be an effective tool to identify stock photography with licenses that allow non-commercial (and sometimes) commercial use. Finally, Flickr Hive Mind supports authentication to Flickr, allowing visibility of your private and friends' photos as well as enabling your content filtering preferences. (discussion) Written by: Nathan Siemers. Inspired by (and thanks to) Flickr Leech. Dedicated to Anna and her Flickritis. If you find your login does not work, perhaps your browser has disabled the cookies that I use to track your session. Try telling your browser to accept them. Flickr Hive Mind stores no personal information nor photos, but some general information ends up in my apache server logs (time, IP address). For more details see the privacy policy. Any revenue generated through ads will be used only to cover the cost of keeping this site online, beyond that Fiveprime will make donations to charitable organizations (also, there are no ads on User pages). Donations are now being made. Flickr Hive Mind is currently consuming about 5.1 terabytes of network bandwidth per year (not including the photos themselves)!

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