50 雲海 japan 26 unkai 18 日本 16 seaofcloud 14 geotagged cloud sea 13 hotspring 半島 雲見 fish geo:tool=yuancc izu sashimi food peninsula kumomi geo:lon=138743699 伊豆 温泉 onsen geo:lat=34725380 12 matuyama aseaofcloud castle okayama 10 japanese yummy landscape 9 霧 cloudsea takahashi 8 beautifulscenery takay 7 mountain 6 niigata canon 5 霧の海 高谷山 miyoshi hiroshima mttakatani matsudai 広島 松代 三次 4 3776m oceanofclouds 朝靄 fuji ricefield ef fog mtfuji e100vs eos7s iso100 雲海　秋 富士山 cloud” hdr kodak 3 新潟 棚田 高梁 takahasi rice sun matsunoyama field 備中松山城 superbmasterpiece 松之山 foggy theperfectphotographer 岡山 forest 田 nagano 高梁市 “sea

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Users: earthhopper 13 makanefuku 12 takay 8 Giyu (Velvia) 5 *toki 4 Araki.Photo. 3 akira.o AJ Brustein Captain Interesting shinyai

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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