Corel images data set

1: Description.

This data set contains 5000 Corel images. There are 374 words in total in the vocabulary (labels) and each image has 4-5 keywords. Images are segmented using Normalized Cuts. Only regions larger than a threshold are used, and there are typically 5-10 regions for each image. Regions are then clustered into 499 blobs using k-means, which are used to describe the final image.


2: Type.			Multi label	
3: Origin.			Real world
4: Instances.		5000
5: Features.		499
6: Labels.			374	
7: Missing values.	No

8: Header.

@relation Corel5k

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@attribute vineyard {0,1}
@attribute pottery {0,1}
@attribute pots {0,1}
@attribute military {0,1}
@attribute designs {0,1}
@attribute mushrooms {0,1}
@attribute terrace {0,1}
@attribute tent {0,1}
@attribute bulls {0,1}
@attribute giant {0,1}
@attribute tortoise {0,1}
@attribute wings {0,1}
@attribute albatross {0,1}
@attribute booby {0,1}
@attribute nest {0,1}
@attribute hawk {0,1}
@attribute iguana {0,1}
@attribute lizard {0,1}
@attribute marine {0,1}
@attribute penguin {0,1}
@attribute deer {0,1}
@attribute white-tailed {0,1}
@attribute horns {0,1}
@attribute slope {0,1}
@attribute mule {0,1}
@attribute fawn {0,1}
@attribute antlers {0,1}
@attribute elk {0,1}
@attribute caribou {0,1}
@attribute herd {0,1}
@attribute moose {0,1}
@attribute clearing {0,1}
@attribute mare {0,1}
@attribute foals {0,1}
@attribute orchid {0,1}
@attribute lily {0,1}
@attribute stems {0,1}
@attribute row {0,1}
@attribute chrysanthemums {0,1}
@attribute blooms {0,1}
@attribute cactus {0,1}
@attribute saguaro {0,1}
@attribute giraffe {0,1}
@attribute zebra {0,1}
@attribute tusks {0,1}
@attribute hands {0,1}
@attribute train {0,1}
@attribute desert {0,1}
@attribute dunes {0,1}
@attribute canyon {0,1}
@attribute lighthouse {0,1}
@attribute mast {0,1}
@attribute seals {0,1}
@attribute texture {0,1}
@attribute dust {0,1}
@attribute pepper {0,1}
@attribute swimmers {0,1}
@attribute pyramid {0,1}
@attribute mosque {0,1}
@attribute sphinx {0,1}
@attribute truck {0,1}
@attribute fly {0,1}
@attribute trunk {0,1}
@attribute baby {0,1}
@attribute eagle {0,1}
@attribute lynx {0,1}
@attribute rodent {0,1}
@attribute squirrel {0,1}
@attribute goat {0,1}
@attribute marsh {0,1}
@attribute wolf {0,1}
@attribute pack {0,1}
@attribute dall {0,1}
@attribute porcupine {0,1}
@attribute whales {0,1}
@attribute rabbit {0,1}
@attribute tracks {0,1}
@attribute crops {0,1}
@attribute animals {0,1}
@attribute moss {0,1}
@attribute trail {0,1}
@attribute locomotive {0,1}
@attribute railroad {0,1}
@attribute vehicle {0,1}
@attribute aerial {0,1}
@attribute range {0,1}
@attribute insect {0,1}
@attribute man {0,1}
@attribute woman {0,1}
@attribute rice {0,1}
@attribute prayer {0,1}
@attribute glacier {0,1}
@attribute harvest {0,1}
@attribute girl {0,1}
@attribute indian {0,1}
@attribute pole {0,1}
@attribute dance {0,1}
@attribute african {0,1}
@attribute shirt {0,1}
@attribute buddhist {0,1}
@attribute tomb {0,1}
@attribute outside {0,1}
@attribute shade {0,1}
@attribute formula {0,1}
@attribute turn {0,1}
@attribute straightaway {0,1}
@attribute prototype {0,1}
@attribute steel {0,1}
@attribute scotland {0,1}
@attribute ceiling {0,1}
@attribute furniture {0,1}
@attribute lichen {0,1}
@attribute pups {0,1}
@attribute antelope {0,1}
@attribute pebbles {0,1}
@attribute remains {0,1}
@attribute leopard {0,1}
@attribute jeep {0,1}
@attribute calf {0,1}
@attribute reptile {0,1}
@attribute snake {0,1}
@attribute cougar {0,1}
@attribute oahu {0,1}
@attribute kauai {0,1}
@attribute maui {0,1}
@attribute school {0,1}
@attribute canoe {0,1}
@attribute race {0,1}
@attribute hawaii {0,1}
@inputs Cluster1 , Cluster2 , Cluster3 , Cluster4 , Cluster5 , Cluster6 , Cluster7 , Cluster8 , Cluster9 , Cluster10 , Cluster11 , Cluster12 , Cluster13 , Cluster14 , Cluster15 , Cluster16 , Cluster17 , Cluster18 , Cluster19 , Cluster20 , Cluster21 , Cluster22 , Cluster23 , Cluster24 , Cluster25 , Cluster26 , Cluster27 , Cluster28 , Cluster29 , Cluster30 , Cluster31 , Cluster32 , Cluster33 , Cluster34 , Cluster35 , Cluster36 , Cluster37 , Cluster38 , Cluster39 , Cluster40 , Cluster41 , Cluster42 , Cluster43 , Cluster44 , Cluster45 , Cluster46 , Cluster47 , Cluster48 , Cluster49 , Cluster50 , Cluster51 , Cluster52 , Cluster53 , Cluster54 , Cluster55 , Cluster56 , Cluster57 , Cluster58 , Cluster59 , Cluster60 , Cluster61 , Cluster62 , Cluster63 , Cluster64 , Cluster65 , Cluster66 , Cluster67 , Cluster68 , Cluster69 , Cluster70 , Cluster71 , Cluster72 , Cluster73 , Cluster74 , Cluster75 , Cluster76 , Cluster77 , Cluster78 , Cluster79 , Cluster80 , Cluster81 , Cluster82 , Cluster83 , Cluster84 , Cluster85 , Cluster86 , Cluster87 , Cluster88 , Cluster89 , Cluster90 , Cluster91 , Cluster92 , Cluster93 , Cluster94 , Cluster95 , Cluster96 , Cluster97 , Cluster98 , Cluster99 , Cluster100 , Cluster101 , Cluster102 , Cluster103 , Cluster104 , Cluster105 , Cluster106 , Cluster107 , Cluster108 , Cluster109 , Cluster110 , Cluster111 , Cluster112 , Cluster113 , Cluster114 , Cluster115 , Cluster116 , Cluster117 , Cluster118 , Cluster119 , Cluster120 , Cluster121 , Cluster122 , Cluster123 , Cluster124 , Cluster125 , Cluster126 , Cluster127 , Cluster128 , Cluster129 , Cluster130 , Cluster131 , Cluster132 , Cluster133 , Cluster134 , Cluster135 , Cluster136 , Cluster137 , Cluster138 , Cluster139 , Cluster140 , Cluster141 , Cluster142 , Cluster143 , Cluster144 , Cluster145 , Cluster146 , Cluster147 , Cluster148 , Cluster149 , Cluster150 , Cluster151 , Cluster152 , Cluster153 , Cluster154 , Cluster155 , Cluster156 , Cluster157 , Cluster158 , Cluster159 , Cluster160 , Cluster161 , Cluster162 , Cluster163 , Cluster164 , Cluster165 , Cluster166 , Cluster167 , Cluster168 , Cluster169 , Cluster170 , Cluster171 , Cluster172 , Cluster173 , Cluster174 , Cluster175 , Cluster176 , Cluster177 , Cluster178 , Cluster179 , Cluster180 , Cluster181 , Cluster182 , Cluster183 , Cluster184 , Cluster185 , Cluster186 , Cluster187 , Cluster188 , Cluster189 , Cluster190 , Cluster191 , Cluster192 , Cluster193 , Cluster194 , Cluster195 , Cluster196 , Cluster197 , Cluster198 , Cluster199 , Cluster200 , Cluster201 , Cluster202 , Cluster203 , Cluster204 , Cluster205 , Cluster206 , Cluster207 , Cluster208 , Cluster209 , Cluster210 , Cluster211 , Cluster212 , Cluster213 , Cluster214 , Cluster215 , Cluster216 , Cluster217 , Cluster218 , Cluster219 , Cluster220 , Cluster221 , Cluster222 , Cluster223 , Cluster224 , Cluster225 , Cluster226 , Cluster227 , Cluster228 , Cluster229 , Cluster230 , Cluster231 , Cluster232 , Cluster233 , Cluster234 , Cluster235 , Cluster236 , Cluster237 , Cluster238 , Cluster239 , Cluster240 , Cluster241 , Cluster242 , Cluster243 , Cluster244 , Cluster245 , Cluster246 , Cluster247 , Cluster248 , Cluster249 , Cluster250 , Cluster251 , Cluster252 , Cluster253 , Cluster254 , Cluster255 , Cluster256 , Cluster257 , Cluster258 , Cluster259 , Cluster260 , Cluster261 , Cluster262 , Cluster263 , Cluster264 , Cluster265 , Cluster266 , Cluster267 , Cluster268 , Cluster269 , Cluster270 , Cluster271 , Cluster272 , Cluster273 , Cluster274 , Cluster275 , Cluster276 , Cluster277 , Cluster278 , Cluster279 , Cluster280 , Cluster281 , Cluster282 , Cluster283 , Cluster284 , Cluster285 , Cluster286 , Cluster287 , Cluster288 , Cluster289 , Cluster290 , Cluster291 , Cluster292 , Cluster293 , Cluster294 , Cluster295 , Cluster296 , Cluster297 , Cluster298 , Cluster299 , Cluster300 , Cluster301 , Cluster302 , Cluster303 , Cluster304 , Cluster305 , Cluster306 , Cluster307 , Cluster308 , Cluster309 , Cluster310 , Cluster311 , Cluster312 , Cluster313 , Cluster314 , Cluster315 , Cluster316 , Cluster317 , Cluster318 , Cluster319 , Cluster320 , Cluster321 , Cluster322 , Cluster323 , Cluster324 , Cluster325 , Cluster326 , Cluster327 , Cluster328 , Cluster329 , Cluster330 , Cluster331 , Cluster332 , Cluster333 , Cluster334 , Cluster335 , Cluster336 , Cluster337 , Cluster338 , Cluster339 , Cluster340 , Cluster341 , Cluster342 , Cluster343 , Cluster344 , Cluster345 , Cluster346 , Cluster347 , Cluster348 , Cluster349 , Cluster350 , Cluster351 , Cluster352 , Cluster353 , Cluster354 , Cluster355 , Cluster356 , Cluster357 , Cluster358 , Cluster359 , Cluster360 , Cluster361 , Cluster362 , Cluster363 , Cluster364 , Cluster365 , Cluster366 , Cluster367 , Cluster368 , Cluster369 , Cluster370 , Cluster371 , Cluster372 , Cluster373 , Cluster374 , Cluster375 , Cluster376 , Cluster377 , Cluster378 , Cluster379 , Cluster380 , Cluster381 , Cluster382 , Cluster383 , Cluster384 , Cluster385 , Cluster386 , Cluster387 , Cluster388 , Cluster389 , Cluster390 , Cluster391 , Cluster392 , Cluster393 , Cluster394 , Cluster395 , Cluster396 , Cluster397 , Cluster398 , Cluster399 , Cluster400 , Cluster401 , Cluster402 , Cluster403 , Cluster404 , Cluster405 , Cluster406 , Cluster407 , Cluster408 , Cluster409 , Cluster410 , Cluster411 , Cluster412 , Cluster413 , Cluster414 , Cluster415 , Cluster416 , Cluster417 , Cluster418 , Cluster419 , Cluster420 , Cluster421 , Cluster422 , Cluster423 , Cluster424 , Cluster425 , Cluster426 , Cluster427 , Cluster428 , Cluster429 , Cluster430 , Cluster431 , Cluster432 , Cluster433 , Cluster434 , Cluster435 , Cluster436 , Cluster437 , Cluster438 , Cluster439 , Cluster440 , Cluster441 , Cluster442 , Cluster443 , Cluster444 , Cluster445 , Cluster446 , Cluster447 , Cluster448 , Cluster449 , Cluster450 , Cluster451 , Cluster452 , Cluster453 , Cluster454 , Cluster455 , Cluster456 , Cluster457 , Cluster458 , Cluster459 , Cluster460 , Cluster461 , Cluster462 , Cluster463 , Cluster464 , Cluster465 , Cluster466 , Cluster467 , Cluster468 , Cluster469 , Cluster470 , Cluster471 , Cluster472 , Cluster473 , Cluster474 , Cluster475 , Cluster476 , Cluster477 , Cluster478 , Cluster479 , Cluster480 , Cluster481 , Cluster482 , Cluster483 , Cluster484 , Cluster485 , Cluster486 , Cluster487 , Cluster488 , Cluster489 , Cluster490 , Cluster491 , Cluster492 , Cluster493 , Cluster494 , Cluster495 , Cluster496 , Cluster497 , Cluster498 , Cluster499 

@outputs city , mountain , sky , sun , water , clouds , tree , bay , lake , sea , beach , boats , people , branch , leaf , grass , plain , palm , horizon , shell , hills , waves , birds , land , dog , bridge , ships , buildings , fence , island , storm , peaks , jet , plane , runway , basket , flight , flag , helicopter , boeing , prop , f-16 , tails , smoke , formation , bear , polar , snow , tundra , ice , head , black , reflection , ground , forest , fall , river , field , flowers , stream , meadow , rocks , hillside , shrubs , close-up , grizzly , cubs , drum , log , hut , sunset , display , plants , pool , coral , fan , anemone , fish , ocean , diver , sunrise , face , sand , rainbow , farms , reefs , vegetation , house , village , carvings , path , wood , dress , coast , sailboats , cat , tiger , bengal , fox , kit , run , shadows , winter , autumn , cliff , bush , rockface , pair , den , coyote , light , arctic , shore , town , road , chapel , moon , harbor , windmills , restaurant , wall , skyline , window , clothes , shops , street , cafe , tables , nets , crafts , roofs , ruins , stone , cars , castle , courtyard , statue , stairs , costume , sponges , sign , palace , paintings , sheep , valley , balcony , post , gate , plaza , festival , temple , sculpture , museum , hotel , art , fountain , market , door , mural , garden , star , butterfly , angelfish , lion , cave , crab , grouper , pagoda , buddha , decoration , monastery , landscape , detail , writing , sails , food , room , entrance , fruit , night , perch , cow , figures , facade , chairs , guard , pond , church , park , barn , arch , hats , cathedral , ceremony , crowd , glass , shrine , model , pillar , carpet , monument , floor , vines , cottage , poppies , lawn , tower , vegetables , bench , rose , tulip , canal , cheese , railing , dock , horses , petals , umbrella , column , waterfalls , elephant , monks , pattern , interior , vendor , silhouette , architecture , blossoms , athlete , parade , ladder , sidewalk , store , steps , relief , fog , frost , frozen , rapids , crystals , spider , needles , stick , mist , doorway , vineyard , pottery , pots , military , designs , mushrooms , terrace , tent , bulls , giant , tortoise , wings , albatross , booby , nest , hawk , iguana , lizard , marine , penguin , deer , white-tailed , horns , slope , mule , fawn , antlers , elk , caribou , herd , moose , clearing , mare , foals , orchid , lily , stems , row , chrysanthemums , blooms , cactus , saguaro , giraffe , zebra , tusks , hands , train , desert , dunes , canyon , lighthouse , mast , seals , texture , dust , pepper , swimmers , pyramid , mosque , sphinx , truck , fly , trunk , baby , eagle , lynx , rodent , squirrel , goat , marsh , wolf , pack , dall , porcupine , whales , rabbit , tracks , crops , animals , moss , trail , locomotive , railroad , vehicle , aerial , range , insect , man , woman , rice , prayer , glacier , harvest , girl , indian , pole , dance , african , shirt , buddhist , tomb , outside , shade , formula , turn , straightaway , prototype , steel , scotland , ceiling , furniture , lichen , pups , antelope , pebbles , remains , leopard , jeep , calf , reptile , snake , cougar , oahu , kauai , maui , school , canoe , race , hawaii