init

Baseline/README.md

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 license: mit
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+#Baseline

FACETS OOD Detection/ImageNet_OOD_classes.txt

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+ 7: 'cock',
+ 8: 'hen',
+ 9: 'ostrich, Struthio camelus',
+ 10: 'brambling, Fringilla montifringilla',
+ 11: 'goldfinch, Carduelis carduelis',
+ 12: 'house finch, linnet, Carpodacus mexicanus',
+ 13: 'junco, snowbird',
+ 14: 'indigo bunting, indigo finch, indigo bird, Passerina cyanea',
+ 15: 'robin, American robin, Turdus migratorius',
+ 16: 'bulbul',
+ 17: 'jay',
+ 18: 'magpie',
+ 19: 'chickadee',
+ 20: 'water ouzel, dipper',
+ 21: 'kite',
+ 22: 'bald eagle, American eagle, Haliaeetus leucocephalus',
+ 23: 'vulture',
+ 24: 'great grey owl, great gray owl, Strix nebulosa',
+ 25: 'European fire salamander, Salamandra salamandra',
+ 26: 'common newt, Triturus vulgaris',
+ 27: 'eft',
+ 28: 'spotted salamander, Ambystoma maculatum',
+ 30: 'bullfrog, Rana catesbeiana',
+ 31: 'tree frog, tree-frog',
+ 32: 'tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui',
+ 35: 'mud turtle',
+ 36: 'terrapin',
+ 37: 'box turtle, box tortoise',
+ 38: 'banded gecko',
+ 39: 'common iguana, iguana, Iguana iguana',
+ 40: 'American chameleon, anole, Anolis carolinensis',
+ 41: 'whiptail, whiptail lizard',
+ 42: 'agama',
+ 43: 'frilled lizard, Chlamydosaurus kingi',
+ 44: 'alligator lizard',
+ 45: 'Gila monster, Heloderma suspectum',
+ 46: 'green lizard, Lacerta viridis',
+ 47: 'African chameleon, Chamaeleo chamaeleon',
+ 48: 'Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis',
+ 49: 'African crocodile, Nile crocodile, Crocodylus niloticus',
+ 50: 'American alligator, Alligator mississipiensis',
+ 51: 'triceratops',
+ 52: 'thunder snake, worm snake, Carphophis amoenus',
+ 53: 'ringneck snake, ring-necked snake, ring snake',
+ 54: 'hognose snake, puff adder, sand viper',
+ 55: 'green snake, grass snake',
+ 56: 'king snake, kingsnake',
+ 57: 'garter snake, grass snake',
+ 58: 'water snake',
+ 59: 'vine snake',
+ 60: 'night snake, Hypsiglena torquata',
+ 61: 'boa constrictor, Constrictor constrictor',
+ 62: 'rock python, rock snake, Python sebae',
+ 63: 'Indian cobra, Naja naja',
+ 64: 'green mamba',
+ 65: 'sea snake',
+ 66: 'horned viper, cerastes, sand viper, horned asp, Cerastes cornutus',
+ 67: 'diamondback, diamondback rattlesnake, Crotalus adamanteus',
+ 68: 'sidewinder, horned rattlesnake, Crotalus cerastes',
+ 69: 'trilobite',
+ 70: 'harvestman, daddy longlegs, Phalangium opilio',
+ 71: 'scorpion',
+ 72: 'black and gold garden spider, Argiope aurantia',
+ 73: 'barn spider, Araneus cavaticus',
+ 74: 'garden spider, Aranea diademata',
+ 75: 'black widow, Latrodectus mactans',
+ 76: 'tarantula',
+ 77: 'wolf spider, hunting spider',
+ 78: 'tick',
+ 79: 'centipede',
+ 80: 'black grouse',
+ 81: 'ptarmigan',
+ 82: 'ruffed grouse, partridge, Bonasa umbellus',
+ 83: 'prairie chicken, prairie grouse, prairie fowl',
+ 84: 'peacock',
+ 85: 'quail',
+ 86: 'partridge',
+ 87: 'African grey, African gray, Psittacus erithacus',
+ 88: 'macaw',
+ 89: 'sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita',
+ 90: 'lorikeet',
+ 91: 'coucal',
+ 92: 'bee eater',
+ 93: 'hornbill',
+ 94: 'hummingbird',
+ 95: 'jacamar',
+ 96: 'toucan',
+ 97: 'drake',
+ 98: 'red-breasted merganser, Mergus serrator',
+ 99: 'goose',
+ 100: 'black swan, Cygnus atratus',
+ 101: 'tusker',
+ 102: 'echidna, spiny anteater, anteater',
+ 103: 'platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus',
+ 104: 'wallaby, brush kangaroo',
+ 105: 'koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus',
+ 106: 'wombat',
+ 113: 'snail',
+ 114: 'slug',
+ 118: 'Dungeness crab, Cancer magister',
+ 119: 'rock crab, Cancer irroratus',
+ 120: 'fiddler crab',
+ 121: 'king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica',
+ 125: 'hermit crab',
+ 131: 'little blue heron, Egretta caerulea',
+ 132: 'American egret, great white heron, Egretta albus',
+ 133: 'bittern',
+ 134: 'crane',
+ 135: 'limpkin, Aramus pictus',
+ 136: 'European gallinule, Porphyrio porphyrio',
+ 137: 'American coot, marsh hen, mud hen, water hen, Fulica americana',
+ 138: 'bustard',
+ 139: 'ruddy turnstone, Arenaria interpres',
+ 140: 'red-backed sandpiper, dunlin, Erolia alpina',
+ 141: 'redshank, Tringa totanus',
+ 142: 'dowitcher',
+ 143: 'oystercatcher, oyster catcher',
+ 144: 'pelican',
+ 145: 'king penguin, Aptenodytes patagonica',
+ 146: 'albatross, mollymawk',
+ 147: 'grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus',
+ 148: 'killer whale, killer, orca, grampus, sea wolf, Orcinus orca',
+ 269: 'timber wolf, grey wolf, gray wolf, Canis lupus',
+ 270: 'white wolf, Arctic wolf, Canis lupus tundrarum',
+ 271: 'red wolf, maned wolf, Canis rufus, Canis niger',
+ 272: 'coyote, prairie wolf, brush wolf, Canis latrans',
+ 273: 'dingo, warrigal, warragal, Canis dingo',
+ 274: 'dhole, Cuon alpinus',
+ 275: 'African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus',
+ 276: 'hyena, hyaena',
+ 277: 'red fox, Vulpes vulpes',
+ 278: 'kit fox, Vulpes macrotis',
+ 279: 'Arctic fox, white fox, Alopex lagopus',
+ 280: 'grey fox, gray fox, Urocyon cinereoargenteus',
+ 281: 'tabby, tabby cat',
+ 282: 'tiger cat',
+ 283: 'Persian cat',
+ 284: 'Siamese cat, Siamese',
+ 285: 'Egyptian cat',
+ 286: 'cougar, puma, catamount, mountain lion, painter, panther, Felis concolor',
+ 287: 'lynx, catamount',
+ 288: 'leopard, Panthera pardus',
+ 289: 'snow leopard, ounce, Panthera uncia',
+ 290: 'jaguar, panther, Panthera onca, Felis onca',
+ 291: 'lion, king of beasts, Panthera leo',
+ 292: 'tiger, Panthera tigris',
+ 293: 'cheetah, chetah, Acinonyx jubatus',
+ 294: 'brown bear, bruin, Ursus arctos',
+ 295: 'American black bear, black bear, Ursus americanus, Euarctos americanus',
+ 296: 'ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus',
+ 297: 'sloth bear, Melursus ursinus, Ursus ursinus',
+ 298: 'mongoose',
+ 299: 'meerkat, mierkat',
+ 300: 'tiger beetle',
+ 301: 'ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle',
+ 302: 'ground beetle, carabid beetle',
+ 303: 'long-horned beetle, longicorn, longicorn beetle',
+ 304: 'leaf beetle, chrysomelid',
+ 305: 'dung beetle',
+ 306: 'rhinoceros beetle',
+ 307: 'weevil',
+ 308: 'fly',
+ 309: 'bee',
+ 310: 'ant, emmet, pismire',
+ 311: 'grasshopper, hopper',
+ 312: 'cricket',
+ 313: 'walking stick, walkingstick, stick insect',
+ 314: 'cockroach, roach',
+ 315: 'mantis, mantid',
+ 316: 'cicada, cicala',
+ 317: 'leafhopper',
+ 318: 'lacewing, lacewing fly',
+ 319: "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",
+ 320: 'damselfly',
+ 321: 'admiral',
+ 322: 'ringlet, ringlet butterfly',
+ 323: 'monarch, monarch butterfly, milkweed butterfly, Danaus plexippus',
+ 324: 'cabbage butterfly',
+ 325: 'sulphur butterfly, sulfur butterfly',
+ 326: 'lycaenid, lycaenid butterfly',
+ 330: 'wood rabbit, cottontail, cottontail rabbit',
+ 331: 'hare',
+ 332: 'Angora, Angora rabbit',
+ 333: 'hamster',
+ 334: 'porcupine, hedgehog',
+ 335: 'fox squirrel, eastern fox squirrel, Sciurus niger',
+ 336: 'marmot',
+ 337: 'beaver',
+ 338: 'guinea pig, Cavia cobaya',
+ 341: 'hog, pig, grunter, squealer, Sus scrofa',
+ 342: 'wild boar, boar, Sus scrofa',
+ 343: 'warthog',
+ 344: 'hippopotamus, hippo, river horse, Hippopotamus amphibius',
+ 345: 'ox',
+ 346: 'water buffalo, water ox, Asiatic buffalo, Bubalus bubalis',
+ 347: 'bison',
+ 348: 'ram, tup',
+ 349: 'bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis',
+ 350: 'ibex, Capra ibex',
+ 351: 'hartebeest',
+ 352: 'impala, Aepyceros melampus',
+ 353: 'gazelle',
+ 354: 'Arabian camel, dromedary, Camelus dromedarius',
+ 355: 'llama',
+ 356: 'weasel',
+ 357: 'mink',
+ 358: 'polecat, fitch, foulmart, foumart, Mustela putorius',
+ 359: 'black-footed ferret, ferret, Mustela nigripes',
+ 360: 'otter',
+ 361: 'skunk, polecat, wood pussy',
+ 362: 'badger',
+ 363: 'armadillo',
+ 364: 'three-toed sloth, ai, Bradypus tridactylus',
+ 365: 'orangutan, orang, orangutang, Pongo pygmaeus',
+ 366: 'gorilla, Gorilla gorilla',
+ 367: 'chimpanzee, chimp, Pan troglodytes',
+ 368: 'gibbon, Hylobates lar',
+ 369: 'siamang, Hylobates syndactylus, Symphalangus syndactylus',
+ 370: 'guenon, guenon monkey',
+ 371: 'patas, hussar monkey, Erythrocebus patas',
+ 372: 'baboon',
+ 373: 'macaque',
+ 374: 'langur',
+ 375: 'colobus, colobus monkey',
+ 376: 'proboscis monkey, Nasalis larvatus',
+ 377: 'marmoset',
+ 378: 'capuchin, ringtail, Cebus capucinus',
+ 379: 'howler monkey, howler',
+ 380: 'titi, titi monkey',
+ 381: 'spider monkey, Ateles geoffroyi',
+ 382: 'squirrel monkey, Saimiri sciureus',
+ 383: 'Madagascar cat, ring-tailed lemur, Lemur catta',
+ 384: 'indri, indris, Indri indri, Indri brevicaudatus',
+ 385: 'Indian elephant, Elephas maximus',
+ 386: 'African elephant, Loxodonta africana',
+ 387: 'lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens',
+ 388: 'giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca',
+ 398: 'abacus',
+ 399: 'abaya',
+ 400: "academic gown, academic robe, judge's robe",
+ 401: 'accordion, piano accordion, squeeze box',
+ 402: 'acoustic guitar',
+ 405: 'airship, dirigible',
+ 407: 'ambulance',
+ 408: 'amphibian, amphibious vehicle',
+ 409: 'analog clock',
+ 410: 'apiary, bee house',
+ 411: 'apron',
+ 412: 'ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin',
+ 413: 'assault rifle, assault gun',
+ 414: 'backpack, back pack, knapsack, packsack, rucksack, haversack',
+ 416: 'balance beam, beam',
+ 417: 'balloon',
+ 418: 'ballpoint, ballpoint pen, ballpen, Biro',
+ 419: 'Band Aid',
+ 420: 'banjo',
+ 421: 'bannister, banister, balustrade, balusters, handrail',
+ 422: 'barbell',
+ 423: 'barber chair',
+ 424: 'barbershop',
+ 426: 'barometer',
+ 427: 'barrel, cask',
+ 428: 'barrow, garden cart, lawn cart, wheelbarrow',
+ 431: 'bassinet',
+ 432: 'bassoon',
+ 439: 'bearskin, busby, shako',
+ 443: 'bib',
+ 444: 'bicycle-built-for-two, tandem bicycle, tandem',
+ 445: 'bikini, two-piece',
+ 446: 'binder, ring-binder',
+ 450: 'bobsled, bobsleigh, bob',
+ 451: 'bolo tie, bolo, bola tie, bola',
+ 452: 'bonnet, poke bonnet',
+ 455: 'bottlecap',
+ 456: 'bow',
+ 457: 'bow tie, bow-tie, bowtie',
+ 458: 'brass, memorial tablet, plaque',
+ 459: 'brassiere, bra, bandeau',
+ 460: 'breakwater, groin, groyne, mole, bulwark, seawall, jetty',
+ 461: 'breastplate, aegis, egis',
+ 462: 'broom',
+ 463: 'bucket, pail',
+ 464: 'buckle',
+ 465: 'bulletproof vest',
+ 469: 'caldron, cauldron',
+ 470: 'candle, taper, wax light',
+ 471: 'cannon',
+ 472: 'canoe',
+ 473: 'can opener, tin opener',
+ 474: 'cardigan',
+ 475: 'car mirror',
+ 478: 'carton',
+ 480: 'cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM',
+ 481: 'cassette',
+ 482: 'cassette player',
+ 485: 'CD player',
+ 486: 'cello, violoncello',
+ 487: 'cellular telephone, cellular phone, cellphone, cell, mobile phone',
+ 488: 'chain',
+ 489: 'chainlink fence',
+ 490: 'chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour',
+ 491: 'chain saw, chainsaw',
+ 492: 'chest',
+ 493: 'chiffonier, commode',
+ 494: 'chime, bell, gong',
+ 495: 'china cabinet, china closet',
+ 496: 'Christmas stocking',
+ 497: 'church, church building',
+ 498: 'cinema, movie theater, movie theatre, movie house, picture palace',
+ 499: 'cleaver, meat cleaver, chopper',
+ 500: 'cliff dwelling',
+ 501: 'cloak',
+ 502: 'clog, geta, patten, sabot',
+ 504: 'coffee mug',
+ 505: 'coffeepot',
+ 506: 'coil, spiral, volute, whorl, helix',
+ 507: 'combination lock',
+ 511: 'convertible',
+ 512: 'corkscrew, bottle screw',
+ 513: 'cornet, horn, trumpet, trump',
+ 514: 'cowboy boot',
+ 515: 'cowboy hat, ten-gallon hat',
+ 516: 'cradle',
+ 517: 'crane',
+ 518: 'crash helmet',
+ 519: 'crate',
+ 520: 'crib, cot',
+ 522: 'croquet ball',
+ 523: 'crutch',
+ 524: 'cuirass',
+ 528: 'dial telephone, dial phone',
+ 529: 'diaper, nappy, napkin',
+ 530: 'digital clock',
+ 531: 'digital watch',
+ 533: 'dishrag, dishcloth',
+ 534: 'dishwasher, dish washer, dishwashing machine',
+ 535: 'disk brake, disc brake',
+ 537: 'dogsled, dog sled, dog sleigh',
+ 538: 'dome',
+ 539: 'doormat, welcome mat',
+ 541: 'drum, membranophone, tympan',
+ 542: 'drumstick',
+ 544: 'Dutch oven',
+ 545: 'electric fan, blower',
+ 546: 'electric guitar',
+ 549: 'envelope',
+ 550: 'espresso maker',
+ 551: 'face powder',
+ 554: 'fireboat',
+ 555: 'fire engine, fire truck',
+ 556: 'fire screen, fireguard',
+ 557: 'flagpole, flagstaff',
+ 558: 'flute, transverse flute',
+ 561: 'forklift',
+ 562: 'fountain',
+ 563: 'fountain pen',
+ 566: 'French horn, horn',
+ 567: 'frying pan, frypan, skillet',
+ 568: 'fur coat',
+ 569: 'garbage truck, dustcart',
+ 570: 'gasmask, respirator, gas helmet',
+ 571: 'gas pump, gasoline pump, petrol pump, island dispenser',
+ 572: 'goblet',
+ 573: 'go-kart',
+ 576: 'gondola',
+ 577: 'gong, tam-tam',
+ 578: 'gown',
+ 579: 'grand piano, grand',
+ 583: 'guillotine',
+ 584: 'hair slide',
+ 585: 'hair spray',
+ 586: 'half track',
+ 587: 'hammer',
+ 588: 'hamper',
+ 589: 'hand blower, blow dryer, blow drier, hair dryer, hair drier',
+ 590: 'hand-held computer, hand-held microcomputer',
+ 591: 'handkerchief, hankie, hanky, hankey',
+ 592: 'hard disc, hard disk, fixed disk',
+ 593: 'harmonica, mouth organ, harp, mouth harp',
+ 594: 'harp',
+ 595: 'harvester, reaper',
+ 596: 'hatchet',
+ 597: 'holster',
+ 598: 'home theater, home theatre',
+ 599: 'honeycomb',
+ 600: 'hook, claw',
+ 601: 'hoopskirt, crinoline',
+ 602: 'horizontal bar, high bar',
+ 603: 'horse cart, horse-cart',
+ 604: 'hourglass',
+ 605: 'iPod',
+ 606: 'iron, smoothing iron',
+ 607: "jack-o'-lantern",
+ 608: 'jean, blue jean, denim',
+ 609: 'jeep, landrover',
+ 610: 'jersey, T-shirt, tee shirt',
+ 611: 'jigsaw puzzle',
+ 612: 'jinrikisha, ricksha, rickshaw',
+ 613: 'joystick',
+ 614: 'kimono',
+ 615: 'knee pad',
+ 616: 'knot',
+ 618: 'ladle',
+ 619: 'lampshade, lamp shade',
+ 620: 'laptop, laptop computer',
+ 621: 'lawn mower, mower',
+ 622: 'lens cap, lens cover',
+ 623: 'letter opener, paper knife, paperknife',
+ 625: 'lifeboat',
+ 626: 'lighter, light, igniter, ignitor',
+ 627: 'limousine, limo',
+ 628: 'liner, ocean liner',
+ 629: 'lipstick, lip rouge',
+ 630: 'Loafer',
+ 631: 'lotion',
+ 632: 'loudspeaker, speaker, speaker unit, loudspeaker system, speaker system',
+ 633: "loupe, jeweler's loupe",
+ 634: 'lumbermill, sawmill',
+ 635: 'magnetic compass',
+ 636: 'mailbag, postbag',
+ 637: 'mailbox, letter box',
+ 638: 'maillot',
+ 639: 'maillot, tank suit',
+ 640: 'manhole cover',
+ 641: 'maraca',
+ 642: 'marimba, xylophone',
+ 643: 'mask',
+ 644: 'matchstick',
+ 645: 'maypole',
+ 647: 'measuring cup',
+ 648: 'medicine chest, medicine cabinet',
+ 649: 'megalith, megalithic structure',
+ 650: 'microphone, mike',
+ 651: 'microwave, microwave oven',
+ 652: 'military uniform',
+ 653: 'milk can',
+ 654: 'minibus',
+ 655: 'miniskirt, mini',
+ 656: 'minivan',
+ 657: 'missile',
+ 658: 'mitten',
+ 659: 'mixing bowl',
+ 661: 'Model T',
+ 662: 'modem',
+ 664: 'monitor',
+ 665: 'moped',
+ 666: 'mortar',
+ 667: 'mortarboard',
+ 669: 'mosquito net',
+ 670: 'motor scooter, scooter',
+ 671: 'mountain bike, all-terrain bike, off-roader',
+ 672: 'mountain tent',
+ 674: 'mousetrap',
+ 675: 'moving van',
+ 677: 'nail',
+ 678: 'neck brace',
+ 679: 'necklace',
+ 680: 'nipple',
+ 682: 'obelisk',
+ 683: 'oboe, hautboy, hautbois',
+ 684: 'ocarina, sweet potato',
+ 685: 'odometer, hodometer, mileometer, milometer',
+ 686: 'oil filter',
+ 687: 'organ, pipe organ',
+ 688: 'oscilloscope, scope, cathode-ray oscilloscope, CRO',
+ 689: 'overskirt',
+ 690: 'oxcart',
+ 691: 'oxygen mask',
+ 692: 'packet',
+ 693: 'paddle, boat paddle',
+ 694: 'paddlewheel, paddle wheel',
+ 695: 'padlock',
+ 696: 'paintbrush',
+ 697: "pajama, pyjama, pj's, jammies",
+ 699: 'panpipe, pandean pipe, syrinx',
+ 700: 'paper towel',
+ 701: 'parachute, chute',
+ 702: 'parallel bars, bars',
+ 703: 'park bench',
+ 704: 'parking meter',
+ 708: 'pedestal, plinth, footstall',
+ 709: 'pencil box, pencil case',
+ 710: 'pencil sharpener',
+ 711: 'perfume, essence',
+ 713: 'photocopier',
+ 714: 'pick, plectrum, plectron',
+ 715: 'pickelhaube',
+ 716: 'picket fence, paling',
+ 719: 'piggy bank, penny bank',
+ 720: 'pill bottle',
+ 722: 'ping-pong ball',
+ 723: 'pinwheel',
+ 724: 'pirate, pirate ship',
+ 725: 'pitcher, ewer',
+ 727: 'planetarium',
+ 728: 'plastic bag',
+ 729: 'plate rack',
+ 731: "plunger, plumber's helper",
+ 732: 'Polaroid camera, Polaroid Land camera',
+ 733: 'pole',
+ 734: 'police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria',
+ 735: 'poncho',
+ 736: 'pool table, billiard table, snooker table',
+ 737: 'pop bottle, soda bottle',
+ 738: 'pot, flowerpot',
+ 739: "potter's wheel",
+ 740: 'power drill',
+ 743: 'prison, prison house',
+ 744: 'projectile, missile',
+ 745: 'projector',
+ 746: 'puck, hockey puck',
+ 747: 'punching bag, punch bag, punching ball, punchball',
+ 748: 'purse',
+ 749: 'quill, quill pen',
+ 753: 'radiator',
+ 754: 'radio, wireless',
+ 755: 'radio telescope, radio reflector',
+ 757: 'recreational vehicle, RV, R.V.',
+ 758: 'reel',
+ 759: 'reflex camera',
+ 760: 'refrigerator, icebox',
+ 761: 'remote control, remote',
+ 763: 'revolver, six-gun, six-shooter',
+ 764: 'rifle',
+ 765: 'rocking chair, rocker',
+ 767: 'rubber eraser, rubber, pencil eraser',
+ 768: 'rugby ball',
+ 769: 'rule, ruler',
+ 770: 'running shoe',
+ 771: 'safe',
+ 772: 'safety pin',
+ 773: 'saltshaker, salt shaker',
+ 774: 'sandal',
+ 775: 'sarong',
+ 776: 'sax, saxophone',
+ 777: 'scabbard',
+ 778: 'scale, weighing machine',
+ 779: 'school bus',
+ 780: 'schooner',
+ 781: 'scoreboard',
+ 782: 'screen, CRT screen',
+ 783: 'screw',
+ 784: 'screwdriver',
+ 786: 'sewing machine',
+ 787: 'shield, buckler',
+ 789: 'shoji',
+ 792: 'shovel',
+ 798: 'slide rule, slipstick',
+ 799: 'sliding door',
+ 802: 'snowmobile',
+ 803: 'snowplow, snowplough',
+ 805: 'soccer ball',
+ 806: 'sock',
+ 807: 'solar dish, solar collector, solar furnace',
+ 808: 'sombrero',
+ 809: 'soup bowl',
+ 811: 'space heater',
+ 812: 'space shuttle',
+ 813: 'spatula',
+ 814: 'speedboat',
+ 815: "spider web, spider's web",
+ 816: 'spindle',
+ 817: 'sports car, sport car',
+ 818: 'spotlight, spot',
+ 822: 'steel drum',
+ 823: 'stethoscope',
+ 824: 'stole',
+ 825: 'stone wall',
+ 826: 'stopwatch, stop watch',
+ 828: 'strainer',
+ 829: 'streetcar, tram, tramcar, trolley, trolley car',
+ 830: 'stretcher',
+ 831: 'studio couch, day bed',
+ 833: 'submarine, pigboat, sub, U-boat',
+ 834: 'suit, suit of clothes',
+ 835: 'sundial',
+ 840: 'swab, swob, mop',
+ 841: 'sweatshirt',
+ 842: 'swimming trunks, bathing trunks',
+ 843: 'swing',
+ 844: 'switch, electric switch, electrical switch',
+ 845: 'syringe',
+ 846: 'table lamp',
+ 847: 'tank, army tank, armored combat vehicle, armoured combat vehicle',
+ 848: 'tape player',
+ 849: 'teapot',
+ 850: 'teddy, teddy bear',
+ 851: 'television, television system',
+ 853: 'thatch, thatched roof',
+ 855: 'thimble',
+ 858: 'tile roof',
+ 862: 'torch',
+ 863: 'totem pole',
+ 864: 'tow truck, tow car, wrecker',
+ 867: 'trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi',
+ 868: 'tray',
+ 869: 'trench coat',
+ 870: 'tricycle, trike, velocipede',
+ 871: 'trimaran',
+ 872: 'tripod',
+ 877: 'turnstile',
+ 878: 'typewriter keyboard',
+ 879: 'umbrella',
+ 880: 'unicycle, monocycle',
+ 881: 'upright, upright piano',
+ 882: 'vacuum, vacuum cleaner',
+ 883: 'vase',
+ 884: 'vault',
+ 885: 'velvet',
+ 886: 'vending machine',
+ 889: 'violin, fiddle',
+ 892: 'wall clock',
+ 893: 'wallet, billfold, notecase, pocketbook',
+ 894: 'wardrobe, closet, press',
+ 898: 'water bottle',
+ 899: 'water jug',
+ 901: 'whiskey jug',
+ 902: 'whistle',
+ 903: 'wig',
+ 904: 'window screen',
+ 905: 'window shade',
+ 906: 'Windsor tie',
+ 907: 'wine bottle',
+ 908: 'wing',
+ 911: 'wool, woolen, woollen',
+ 912: 'worm fence, snake fence, snake-rail fence, Virginia fence',
+ 914: 'yawl',
+ 915: 'yurt',
+ 916: 'web site, website, internet site, site',
+ 917: 'comic book',
+ 918: 'crossword puzzle, crossword',
+ 919: 'street sign',
+ 920: 'traffic light, traffic signal, stoplight',
+ 921: 'book jacket, dust cover, dust jacket, dust wrapper',
+ 974: 'geyser',
+ 988: 'acorn',
+ 990: 'buckeye, horse chestnut, conker',
+ 991: 'coral fungus',
+ 992: 'agaric',
+ 993: 'gyromitra',
+ 994: 'stinkhorn, carrion fungus',
+ 995: 'earthstar',
+ 996: 'hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa',
+ 997: 'bolete',

FACETS OOD Detection/generate_splits.py

@@ -0,0 +1,199 @@
+
+import argparse
+import random
+import os
+
+# Read arguments
+parser = argparse.ArgumentParser(description="Generate test and val splits for the Facets-OOD-detection dataset")
+parser.add_argument("-t", "--threshold", default="1", help="Can be 1 or 2: images (from the SUN397 dataset) that have OODness lower or equal to the threshold are considered in-distribution")
+parser.add_argument("-v", "--val_perc", default="0.5", help="Percentage (as ratio, between 0 and 1) of images to be used as validation set. Remaining images are used as test set")
+parser.add_argument("-s", "--seed", default="1234", help="PRNG seed used to generate random numbers")
+args = parser.parse_args()
+
+datasets = ['places_val', 'sun', 'in_val', 'in_train']
+ID  = 0
+OOD = 1
+threshold = int(args.threshold)
+val_perc = float(args.val_perc)
+random.seed(int(args.seed))
+
+counters = [0, 0]
+
+# Stratified sampling to obtain test and val splits of the Facets OOD-detection dataset
+# Output format: oodness (0/1), dataset_index (0-3), class_index (dataset dependent), image_path (relative to the dataset folder)
+
+# Code is largely improvable (remove duplicated code and reduce complexity)
+
+# Create output files
+with open("facets_ood_val_t" + args.threshold + ".txt", "w") as f_val:
+    with open("facets_ood_test_t" + args.threshold + ".txt", "w") as f_test:
+
+        # Places365-Standard validation set
+
+        with open("../places365-standard-small/places365_val.txt", "r") as places_val_list:
+
+            places_val = {}
+
+            for line in places_val_list:
+
+                fields = line.split()
+
+                if not fields[1] in places_val:
+                    places_val[fields[1]] = []
+
+                places_val[fields[1]].append(fields[0])
+
+
+        for class_index, images in places_val.items():
+
+            output_line = str(ID) + " places_val " + class_index + " "
+            
+            class_count = len(images)
+            val_num     = round(class_count * val_perc)
+
+            # flags = random.sample([True, False], counts=[val_num, class_count-val_num], k=class_count)  # Python 3.9+ 
+        
+            flags = random.sample([True for _ in range(val_num)] + [False for _ in range(class_count - val_num)], k=class_count)
+
+            for i in range(class_count):
+
+                if flags[i]:
+                    f_val.write(output_line + images[i] + "\n")
+                else:
+                    f_test.write(output_line + images[i] + "\n")
+
+                counters[ID] += 1
+
+
+
+        # sun
+
+        for oodness in range(4):
+            
+            sun = {}
+
+            with open("sun_oodness_" + str(oodness) + ".txt", "r") as f:
+
+                for line in f:
+
+                    fields = line.split()
+
+                    if not fields[0] in sun:
+                        sun[fields[0]] = []
+
+                    sun[fields[0]].append(fields[1])
+
+                for class_index, images in sun.items():
+
+                    if oodness <= threshold:
+                        split_oodness = ID
+                    else:
+                        split_oodness = OOD
+
+                    output_line = str(split_oodness) + " sun " + str(class_index) + " "
+
+                    class_count = len(images)
+                    val_num     = round(class_count * val_perc)
+
+                    flags = random.sample([True for _ in range(val_num)] + [False for _ in range(class_count-val_num)], k=class_count)
+
+                    for i in range(class_count):
+
+                        if flags[i]:
+                            f_val.write(output_line + images[i] + "\n")
+                        else:
+                            f_test.write(output_line + images[i] + "\n")
+
+                        counters[split_oodness] += 1
+
+        
+        # ImageNet val
+
+        with open("imagenet_val_oodness.txt", "r") as f:
+
+            imagenet_val = {}
+
+            for line in f:
+
+                fields = line.split()
+
+                if not fields[0] in imagenet_val:
+                    imagenet_val[fields[0]] = []
+
+                imagenet_val[fields[0]].append((fields[1], ID if fields[2]=="0" else OOD))
+
+        for class_index, images in imagenet_val.items():
+
+            class_count = len(images)
+            val_num     = round(class_count * val_perc)
+
+            flags = random.sample([True for _ in range(val_num)] + [False for _ in range(class_count - val_num)], k=class_count)
+
+            for i in range(class_count):
+
+                if flags[i]:
+                    f_val.write(str(images[i][1]) + " in_val " + str(class_index) + " " + images[i][0] + "\n")
+                else:
+                    f_test.write(str(images[i][1]) + " in_val " + str(class_index) + " " + images[i][0] + "\n")
+
+                counters[images[i][1]] += 1
+
+        
+        # ImageNet train
+        # Improvable code
+
+        missing_ood_samples = counters[ID] - counters[OOD]
+
+        if missing_ood_samples > 0:
+
+            imagenet_synsets   = []
+            imagenet_train_dir = "../imagenet2012/ILSVRC/Data/CLS-LOC/train/" 
+            imagenet = {}
+
+            with open("../imagenet2012/LOC_synset_mapping.txt", "r") as f:
+
+                for line in f:
+                    imagenet_synsets.append(line.split()[0])
+
+            with open("ImageNet_OOD_classes.txt", "r") as f:
+
+                for line in f:
+
+                    class_index = int(line.split(":")[0])
+                    synset = imagenet_synsets[class_index]
+                    imagenet[str(class_index)] = synset
+
+            ood_classes = len(imagenet.keys())
+            samples_per_class = missing_ood_samples // ood_classes
+            remainder         = missing_ood_samples % ood_classes
+
+            for class_index, synset in imagenet.items():
+
+                class_images = os.listdir(imagenet_train_dir + synset)
+                sample = random.sample(class_images, k=samples_per_class if remainder == 0 else samples_per_class + 1)
+
+                if remainder > 0:
+                    remainder -= 1
+                
+                # Split between test and val
+                class_tot = len(sample)
+                val_count = round(class_tot * val_perc)
+
+                flags = random.sample([True for _ in range(val_count)] + [False for _ in range(class_tot - val_count)], k=class_tot)
+
+                output_line = str(OOD) + " in_train " + class_index + " " + synset + "/"
+
+                for i in range(class_tot):
+                    
+                    if flags[i]:
+                        f_val.write(output_line + sample[i] + "\n")
+                    else:
+                        f_test.write(output_line + sample[i] + "\n")
+
+                    counters[OOD] += 1
+
+
+
+print("Tot id samples:", counters[ID])
+print("Tot ood samples:", counters[OOD])
+

Inter-Dataset/ImageNet_only_classes.txt

@@ -0,0 +1,968 @@
+ 0: 'tench, Tinca tinca',
+ 1: 'goldfish, Carassius auratus',
+ 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
+ 3: 'tiger shark, Galeocerdo cuvieri',
+ 4: 'hammerhead, hammerhead shark',
+ 5: 'electric ray, crampfish, numbfish, torpedo',
+ 6: 'stingray',
+ 7: 'cock',
+ 8: 'hen',
+ 9: 'ostrich, Struthio camelus',
+ 10: 'brambling, Fringilla montifringilla',
+ 11: 'goldfinch, Carduelis carduelis',
+ 12: 'house finch, linnet, Carpodacus mexicanus',
+ 13: 'junco, snowbird',
+ 14: 'indigo bunting, indigo finch, indigo bird, Passerina cyanea',
+ 15: 'robin, American robin, Turdus migratorius',
+ 16: 'bulbul',
+ 17: 'jay',
+ 18: 'magpie',
+ 19: 'chickadee',
+ 20: 'water ouzel, dipper',
+ 21: 'kite',
+ 22: 'bald eagle, American eagle, Haliaeetus leucocephalus',
+ 23: 'vulture',
+ 24: 'great grey owl, great gray owl, Strix nebulosa',
+ 25: 'European fire salamander, Salamandra salamandra',
+ 26: 'common newt, Triturus vulgaris',
+ 27: 'eft',
+ 28: 'spotted salamander, Ambystoma maculatum',
+ 29: 'axolotl, mud puppy, Ambystoma mexicanum',
+ 30: 'bullfrog, Rana catesbeiana',
+ 31: 'tree frog, tree-frog',
+ 32: 'tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui',
+ 33: 'loggerhead, loggerhead turtle, Caretta caretta',
+ 34: 'leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea',
+ 35: 'mud turtle',
+ 36: 'terrapin',
+ 37: 'box turtle, box tortoise',
+ 38: 'banded gecko',
+ 39: 'common iguana, iguana, Iguana iguana',
+ 40: 'American chameleon, anole, Anolis carolinensis',
+ 41: 'whiptail, whiptail lizard',
+ 42: 'agama',
+ 43: 'frilled lizard, Chlamydosaurus kingi',
+ 44: 'alligator lizard',
+ 45: 'Gila monster, Heloderma suspectum',
+ 46: 'green lizard, Lacerta viridis',
+ 47: 'African chameleon, Chamaeleo chamaeleon',
+ 48: 'Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis',
+ 49: 'African crocodile, Nile crocodile, Crocodylus niloticus',
+ 50: 'American alligator, Alligator mississipiensis',
+ 51: 'triceratops',
+ 52: 'thunder snake, worm snake, Carphophis amoenus',
+ 53: 'ringneck snake, ring-necked snake, ring snake',
+ 54: 'hognose snake, puff adder, sand viper',
+ 55: 'green snake, grass snake',
+ 56: 'king snake, kingsnake',
+ 57: 'garter snake, grass snake',
+ 58: 'water snake',
+ 59: 'vine snake',
+ 60: 'night snake, Hypsiglena torquata',
+ 61: 'boa constrictor, Constrictor constrictor',
+ 62: 'rock python, rock snake, Python sebae',
+ 63: 'Indian cobra, Naja naja',
+ 64: 'green mamba',
+ 65: 'sea snake',
+ 66: 'horned viper, cerastes, sand viper, horned asp, Cerastes cornutus',
+ 67: 'diamondback, diamondback rattlesnake, Crotalus adamanteus',
+ 68: 'sidewinder, horned rattlesnake, Crotalus cerastes',
+ 69: 'trilobite',
+ 70: 'harvestman, daddy longlegs, Phalangium opilio',
+ 71: 'scorpion',
+ 72: 'black and gold garden spider, Argiope aurantia',
+ 73: 'barn spider, Araneus cavaticus',
+ 74: 'garden spider, Aranea diademata',
+ 75: 'black widow, Latrodectus mactans',
+ 76: 'tarantula',
+ 77: 'wolf spider, hunting spider',
+ 78: 'tick',
+ 79: 'centipede',
+ 80: 'black grouse',
+ 81: 'ptarmigan',
+ 82: 'ruffed grouse, partridge, Bonasa umbellus',
+ 83: 'prairie chicken, prairie grouse, prairie fowl',
+ 84: 'peacock',
+ 85: 'quail',
+ 86: 'partridge',
+ 87: 'African grey, African gray, Psittacus erithacus',
+ 88: 'macaw',
+ 89: 'sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita',
+ 90: 'lorikeet',
+ 91: 'coucal',
+ 92: 'bee eater',
+ 93: 'hornbill',
+ 94: 'hummingbird',
+ 95: 'jacamar',
+ 96: 'toucan',
+ 97: 'drake',
+ 98: 'red-breasted merganser, Mergus serrator',
+ 99: 'goose',
+ 100: 'black swan, Cygnus atratus',
+ 101: 'tusker',
+ 102: 'echidna, spiny anteater, anteater',
+ 103: 'platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus',
+ 104: 'wallaby, brush kangaroo',
+ 105: 'koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus',
+ 106: 'wombat',
+ 107: 'jellyfish',
+ 108: 'sea anemone, anemone',
+ 109: 'brain coral',
+ 110: 'flatworm, platyhelminth',
+ 111: 'nematode, nematode worm, roundworm',
+ 112: 'conch',
+ 113: 'snail',
+ 114: 'slug',
+ 115: 'sea slug, nudibranch',
+ 116: 'chiton, coat-of-mail shell, sea cradle, polyplacophore',
+ 117: 'chambered nautilus, pearly nautilus, nautilus',
+ 118: 'Dungeness crab, Cancer magister',
+ 119: 'rock crab, Cancer irroratus',
+ 120: 'fiddler crab',
+ 121: 'king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica',
+ 122: 'American lobster, Northern lobster, Maine lobster, Homarus americanus',
+ 123: 'spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish',
+ 124: 'crayfish, crawfish, crawdad, crawdaddy',
+ 125: 'hermit crab',
+ 126: 'isopod',
+ 127: 'white stork, Ciconia ciconia',
+ 128: 'black stork, Ciconia nigra',
+ 129: 'spoonbill',
+ 130: 'flamingo',
+ 131: 'little blue heron, Egretta caerulea',
+ 132: 'American egret, great white heron, Egretta albus',
+ 133: 'bittern',
+ 134: 'crane',
+ 135: 'limpkin, Aramus pictus',
+ 136: 'European gallinule, Porphyrio porphyrio',
+ 137: 'American coot, marsh hen, mud hen, water hen, Fulica americana',
+ 138: 'bustard',
+ 139: 'ruddy turnstone, Arenaria interpres',
+ 140: 'red-backed sandpiper, dunlin, Erolia alpina',
+ 141: 'redshank, Tringa totanus',
+ 142: 'dowitcher',
+ 143: 'oystercatcher, oyster catcher',
+ 144: 'pelican',
+ 145: 'king penguin, Aptenodytes patagonica',
+ 146: 'albatross, mollymawk',
+ 147: 'grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus',
+ 148: 'killer whale, killer, orca, grampus, sea wolf, Orcinus orca',
+ 149: 'dugong, Dugong dugon',
+ 150: 'sea lion',
+ 151: 'Chihuahua',
+ 152: 'Japanese spaniel',
+ 153: 'Maltese dog, Maltese terrier, Maltese',
+ 154: 'Pekinese, Pekingese, Peke',
+ 155: 'Shih-Tzu',
+ 156: 'Blenheim spaniel',
+ 157: 'papillon',
+ 158: 'toy terrier',
+ 159: 'Rhodesian ridgeback',
+ 160: 'Afghan hound, Afghan',
+ 161: 'basset, basset hound',
+ 162: 'beagle',
+ 163: 'bloodhound, sleuthhound',
+ 164: 'bluetick',
+ 165: 'black-and-tan coonhound',
+ 166: 'Walker hound, Walker foxhound',
+ 167: 'English foxhound',
+ 168: 'redbone',
+ 169: 'borzoi, Russian wolfhound',
+ 170: 'Irish wolfhound',
+ 171: 'Italian greyhound',
+ 172: 'whippet',
+ 173: 'Ibizan hound, Ibizan Podenco',
+ 174: 'Norwegian elkhound, elkhound',
+ 175: 'otterhound, otter hound',
+ 176: 'Saluki, gazelle hound',
+ 177: 'Scottish deerhound, deerhound',
+ 178: 'Weimaraner',
+ 179: 'Staffordshire bullterrier, Staffordshire bull terrier',
+ 180: 'American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier',
+ 181: 'Bedlington terrier',
+ 182: 'Border terrier',
+ 183: 'Kerry blue terrier',
+ 184: 'Irish terrier',
+ 185: 'Norfolk terrier',
+ 186: 'Norwich terrier',
+ 187: 'Yorkshire terrier',
+ 188: 'wire-haired fox terrier',
+ 189: 'Lakeland terrier',
+ 190: 'Sealyham terrier, Sealyham',
+ 191: 'Airedale, Airedale terrier',
+ 192: 'cairn, cairn terrier',
+ 193: 'Australian terrier',
+ 194: 'Dandie Dinmont, Dandie Dinmont terrier',
+ 195: 'Boston bull, Boston terrier',
+ 196: 'miniature schnauzer',
+ 197: 'giant schnauzer',
+ 198: 'standard schnauzer',
+ 199: 'Scotch terrier, Scottish terrier, Scottie',
+ 200: 'Tibetan terrier, chrysanthemum dog',
+ 201: 'silky terrier, Sydney silky',
+ 202: 'soft-coated wheaten terrier',
+ 203: 'West Highland white terrier',
+ 204: 'Lhasa, Lhasa apso',
+ 205: 'flat-coated retriever',
+ 206: 'curly-coated retriever',
+ 207: 'golden retriever',
+ 208: 'Labrador retriever',
+ 209: 'Chesapeake Bay retriever',
+ 210: 'German short-haired pointer',
+ 211: 'vizsla, Hungarian pointer',
+ 212: 'English setter',
+ 213: 'Irish setter, red setter',
+ 214: 'Gordon setter',
+ 215: 'Brittany spaniel',
+ 216: 'clumber, clumber spaniel',
+ 217: 'English springer, English springer spaniel',
+ 218: 'Welsh springer spaniel',
+ 219: 'cocker spaniel, English cocker spaniel, cocker',
+ 220: 'Sussex spaniel',
+ 221: 'Irish water spaniel',
+ 222: 'kuvasz',
+ 223: 'schipperke',
+ 224: 'groenendael',
+ 225: 'malinois',
+ 226: 'briard',
+ 227: 'kelpie',
+ 228: 'komondor',
+ 229: 'Old English sheepdog, bobtail',
+ 230: 'Shetland sheepdog, Shetland sheep dog, Shetland',
+ 231: 'collie',
+ 232: 'Border collie',
+ 233: 'Bouvier des Flandres, Bouviers des Flandres',
+ 234: 'Rottweiler',
+ 235: 'German shepherd, German shepherd dog, German police dog, alsatian',
+ 236: 'Doberman, Doberman pinscher',
+ 237: 'miniature pinscher',
+ 238: 'Greater Swiss Mountain dog',
+ 239: 'Bernese mountain dog',
+ 240: 'Appenzeller',
+ 241: 'EntleBucher',
+ 242: 'boxer',
+ 243: 'bull mastiff',
+ 244: 'Tibetan mastiff',
+ 245: 'French bulldog',
+ 246: 'Great Dane',
+ 247: 'Saint Bernard, St Bernard',
+ 248: 'Eskimo dog, husky',
+ 249: 'malamute, malemute, Alaskan malamute',
+ 250: 'Siberian husky',
+ 251: 'dalmatian, coach dog, carriage dog',
+ 252: 'affenpinscher, monkey pinscher, monkey dog',
+ 253: 'basenji',
+ 254: 'pug, pug-dog',
+ 255: 'Leonberg',
+ 256: 'Newfoundland, Newfoundland dog',
+ 257: 'Great Pyrenees',
+ 258: 'Samoyed, Samoyede',
+ 259: 'Pomeranian',
+ 260: 'chow, chow chow',
+ 261: 'keeshond',
+ 262: 'Brabancon griffon',
+ 263: 'Pembroke, Pembroke Welsh corgi',
+ 264: 'Cardigan, Cardigan Welsh corgi',
+ 265: 'toy poodle',
+ 266: 'miniature poodle',
+ 267: 'standard poodle',
+ 268: 'Mexican hairless',
+ 269: 'timber wolf, grey wolf, gray wolf, Canis lupus',
+ 270: 'white wolf, Arctic wolf, Canis lupus tundrarum',
+ 271: 'red wolf, maned wolf, Canis rufus, Canis niger',
+ 272: 'coyote, prairie wolf, brush wolf, Canis latrans',
+ 273: 'dingo, warrigal, warragal, Canis dingo',
+ 274: 'dhole, Cuon alpinus',
+ 275: 'African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus',
+ 276: 'hyena, hyaena',
+ 277: 'red fox, Vulpes vulpes',
+ 278: 'kit fox, Vulpes macrotis',
+ 279: 'Arctic fox, white fox, Alopex lagopus',
+ 280: 'grey fox, gray fox, Urocyon cinereoargenteus',
+ 281: 'tabby, tabby cat',
+ 282: 'tiger cat',
+ 283: 'Persian cat',
+ 284: 'Siamese cat, Siamese',
+ 285: 'Egyptian cat',
+ 286: 'cougar, puma, catamount, mountain lion, painter, panther, Felis concolor',
+ 287: 'lynx, catamount',
+ 288: 'leopard, Panthera pardus',
+ 289: 'snow leopard, ounce, Panthera uncia',
+ 290: 'jaguar, panther, Panthera onca, Felis onca',
+ 291: 'lion, king of beasts, Panthera leo',
+ 292: 'tiger, Panthera tigris',
+ 293: 'cheetah, chetah, Acinonyx jubatus',
+ 294: 'brown bear, bruin, Ursus arctos',
+ 295: 'American black bear, black bear, Ursus americanus, Euarctos americanus',
+ 296: 'ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus',
+ 297: 'sloth bear, Melursus ursinus, Ursus ursinus',
+ 298: 'mongoose',
+ 299: 'meerkat, mierkat',
+ 300: 'tiger beetle',
+ 301: 'ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle',
+ 302: 'ground beetle, carabid beetle',
+ 303: 'long-horned beetle, longicorn, longicorn beetle',
+ 304: 'leaf beetle, chrysomelid',
+ 305: 'dung beetle',
+ 306: 'rhinoceros beetle',
+ 307: 'weevil',
+ 308: 'fly',
+ 309: 'bee',
+ 310: 'ant, emmet, pismire',
+ 311: 'grasshopper, hopper',
+ 312: 'cricket',
+ 313: 'walking stick, walkingstick, stick insect',
+ 314: 'cockroach, roach',
+ 315: 'mantis, mantid',
+ 316: 'cicada, cicala',
+ 317: 'leafhopper',
+ 318: 'lacewing, lacewing fly',
+ 319: "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",
+ 320: 'damselfly',
+ 321: 'admiral',
+ 322: 'ringlet, ringlet butterfly',
+ 323: 'monarch, monarch butterfly, milkweed butterfly, Danaus plexippus',
+ 324: 'cabbage butterfly',
+ 325: 'sulphur butterfly, sulfur butterfly',
+ 326: 'lycaenid, lycaenid butterfly',
+ 327: 'starfish, sea star',
+ 328: 'sea urchin',
+ 329: 'sea cucumber, holothurian',
+ 330: 'wood rabbit, cottontail, cottontail rabbit',
+ 331: 'hare',
+ 332: 'Angora, Angora rabbit',
+ 333: 'hamster',
+ 334: 'porcupine, hedgehog',
+ 335: 'fox squirrel, eastern fox squirrel, Sciurus niger',
+ 336: 'marmot',
+ 337: 'beaver',
+ 338: 'guinea pig, Cavia cobaya',
+ 339: 'sorrel',
+ 340: 'zebra',
+ 341: 'hog, pig, grunter, squealer, Sus scrofa',
+ 342: 'wild boar, boar, Sus scrofa',
+ 343: 'warthog',
+ 344: 'hippopotamus, hippo, river horse, Hippopotamus amphibius',
+ 345: 'ox',
+ 346: 'water buffalo, water ox, Asiatic buffalo, Bubalus bubalis',
+ 347: 'bison',
+ 348: 'ram, tup',
+ 349: 'bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis',
+ 350: 'ibex, Capra ibex',
+ 351: 'hartebeest',
+ 352: 'impala, Aepyceros melampus',
+ 353: 'gazelle',
+ 354: 'Arabian camel, dromedary, Camelus dromedarius',
+ 355: 'llama',
+ 356: 'weasel',
+ 357: 'mink',
+ 358: 'polecat, fitch, foulmart, foumart, Mustela putorius',
+ 359: 'black-footed ferret, ferret, Mustela nigripes',
+ 360: 'otter',
+ 361: 'skunk, polecat, wood pussy',
+ 362: 'badger',
+ 363: 'armadillo',
+ 364: 'three-toed sloth, ai, Bradypus tridactylus',
+ 365: 'orangutan, orang, orangutang, Pongo pygmaeus',
+ 366: 'gorilla, Gorilla gorilla',
+ 367: 'chimpanzee, chimp, Pan troglodytes',
+ 368: 'gibbon, Hylobates lar',
+ 369: 'siamang, Hylobates syndactylus, Symphalangus syndactylus',
+ 370: 'guenon, guenon monkey',
+ 371: 'patas, hussar monkey, Erythrocebus patas',
+ 372: 'baboon',
+ 373: 'macaque',
+ 374: 'langur',
+ 375: 'colobus, colobus monkey',
+ 376: 'proboscis monkey, Nasalis larvatus',
+ 377: 'marmoset',
+ 378: 'capuchin, ringtail, Cebus capucinus',
+ 379: 'howler monkey, howler',
+ 380: 'titi, titi monkey',
+ 381: 'spider monkey, Ateles geoffroyi',
+ 382: 'squirrel monkey, Saimiri sciureus',
+ 383: 'Madagascar cat, ring-tailed lemur, Lemur catta',
+ 384: 'indri, indris, Indri indri, Indri brevicaudatus',
+ 385: 'Indian elephant, Elephas maximus',
+ 386: 'African elephant, Loxodonta africana',
+ 387: 'lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens',
+ 388: 'giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca',
+ 389: 'barracouta, snoek',
+ 390: 'eel',
+ 391: 'coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch',
+ 392: 'rock beauty, Holocanthus tricolor',
+ 393: 'anemone fish',
+ 394: 'sturgeon',
+ 395: 'gar, garfish, garpike, billfish, Lepisosteus osseus',
+ 396: 'lionfish',
+ 397: 'puffer, pufferfish, blowfish, globefish',
+ 398: 'abacus',
+ 399: 'abaya',
+ 400: "academic gown, academic robe, judge's robe",
+ 401: 'accordion, piano accordion, squeeze box',
+ 402: 'acoustic guitar',
+ 403: 'aircraft carrier, carrier, flattop, attack aircraft carrier',
+ 404: 'airliner',
+ 405: 'airship, dirigible',
+ 406: 'altar',
+ 407: 'ambulance',
+ 408: 'amphibian, amphibious vehicle',
+ 409: 'analog clock',
+ 410: 'apiary, bee house',
+ 411: 'apron',
+ 412: 'ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin',
+ 413: 'assault rifle, assault gun',
+ 414: 'backpack, back pack, knapsack, packsack, rucksack, haversack',
+ 416: 'balance beam, beam',
+ 417: 'balloon',
+ 418: 'ballpoint, ballpoint pen, ballpen, Biro',
+ 419: 'Band Aid',
+ 420: 'banjo',
+ 421: 'bannister, banister, balustrade, balusters, handrail',
+ 422: 'barbell',
+ 423: 'barber chair',
+ 424: 'barbershop',
+ 426: 'barometer',
+ 427: 'barrel, cask',
+ 428: 'barrow, garden cart, lawn cart, wheelbarrow',
+ 429: 'baseball',
+ 430: 'basketball',
+ 431: 'bassinet',
+ 432: 'bassoon',
+ 433: 'bathing cap, swimming cap',
+ 434: 'bath towel',
+ 435: 'bathtub, bathing tub, bath, tub',
+ 436: 'beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon',
+ 438: 'beaker',
+ 439: 'bearskin, busby, shako',
+ 440: 'beer bottle',
+ 441: 'beer glass',
+ 442: 'bell cote, bell cot',
+ 443: 'bib',
+ 444: 'bicycle-built-for-two, tandem bicycle, tandem',
+ 445: 'bikini, two-piece',
+ 446: 'binder, ring-binder',
+ 447: 'binoculars, field glasses, opera glasses',
+ 448: 'birdhouse',
+ 450: 'bobsled, bobsleigh, bob',
+ 451: 'bolo tie, bolo, bola tie, bola',
+ 452: 'bonnet, poke bonnet',
+ 453: 'bookcase',
+ 455: 'bottlecap',
+ 456: 'bow',
+ 457: 'bow tie, bow-tie, bowtie',
+ 458: 'brass, memorial tablet, plaque',
+ 459: 'brassiere, bra, bandeau',
+ 460: 'breakwater, groin, groyne, mole, bulwark, seawall, jetty',
+ 461: 'breastplate, aegis, egis',
+ 462: 'broom',
+ 463: 'bucket, pail',
+ 464: 'buckle',
+ 465: 'bulletproof vest',
+ 466: 'bullet train, bullet',
+ 467: 'butcher shop, meat market',
+ 468: 'cab, hack, taxi, taxicab',
+ 469: 'caldron, cauldron',
+ 470: 'candle, taper, wax light',
+ 471: 'cannon',
+ 472: 'canoe',
+ 473: 'can opener, tin opener',
+ 474: 'cardigan',
+ 475: 'car mirror',
+ 477: "carpenter's kit, tool kit",
+ 478: 'carton',
+ 479: 'car wheel',
+ 480: 'cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM',
+ 481: 'cassette',
+ 482: 'cassette player',
+ 484: 'catamaran',
+ 485: 'CD player',
+ 486: 'cello, violoncello',
+ 487: 'cellular telephone, cellular phone, cellphone, cell, mobile phone',
+ 488: 'chain',
+ 489: 'chainlink fence',
+ 490: 'chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour',
+ 491: 'chain saw, chainsaw',
+ 492: 'chest',
+ 493: 'chiffonier, commode',
+ 494: 'chime, bell, gong',
+ 495: 'china cabinet, china closet',
+ 496: 'Christmas stocking',
+ 499: 'cleaver, meat cleaver, chopper',
+ 500: 'cliff dwelling',
+ 501: 'cloak',
+ 502: 'clog, geta, patten, sabot',
+ 503: 'cocktail shaker',
+ 504: 'coffee mug',
+ 505: 'coffeepot',
+ 506: 'coil, spiral, volute, whorl, helix',
+ 507: 'combination lock',
+ 508: 'computer keyboard, keypad',
+ 510: 'container ship, containership, container vessel',
+ 511: 'convertible',
+ 512: 'corkscrew, bottle screw',
+ 513: 'cornet, horn, trumpet, trump',
+ 514: 'cowboy boot',
+ 515: 'cowboy hat, ten-gallon hat',
+ 516: 'cradle',
+ 517: 'crane',
+ 518: 'crash helmet',
+ 519: 'crate',
+ 520: 'crib, cot',
+ 521: 'Crock Pot',
+ 522: 'croquet ball',
+ 523: 'crutch',
+ 524: 'cuirass',
+ 526: 'desk',
+ 527: 'desktop computer',
+ 528: 'dial telephone, dial phone',
+ 529: 'diaper, nappy, napkin',
+ 530: 'digital clock',
+ 531: 'digital watch',
+ 532: 'dining table, board',
+ 533: 'dishrag, dishcloth',
+ 534: 'dishwasher, dish washer, dishwashing machine',
+ 535: 'disk brake, disc brake',
+ 536: 'dock, dockage, docking facility',
+ 537: 'dogsled, dog sled, dog sleigh',
+ 538: 'dome',
+ 539: 'doormat, welcome mat',
+ 540: 'drilling platform, offshore rig',
+ 541: 'drum, membranophone, tympan',
+ 542: 'drumstick',
+ 543: 'dumbbell',
+ 544: 'Dutch oven',
+ 545: 'electric fan, blower',
+ 546: 'electric guitar',
+ 547: 'electric locomotive',
+ 548: 'entertainment center',
+ 549: 'envelope',
+ 550: 'espresso maker',
+ 551: 'face powder',
+ 552: 'feather boa, boa',
+ 553: 'file, file cabinet, filing cabinet',
+ 554: 'fireboat',
+ 555: 'fire engine, fire truck',
+ 556: 'fire screen, fireguard',
+ 557: 'flagpole, flagstaff',
+ 558: 'flute, transverse flute',
+ 559: 'folding chair',
+ 560: 'football helmet',
+ 561: 'forklift',
+ 563: 'fountain pen',
+ 564: 'four-poster',
+ 565: 'freight car',
+ 566: 'French horn, horn',
+ 567: 'frying pan, frypan, skillet',
+ 568: 'fur coat',
+ 569: 'garbage truck, dustcart',
+ 570: 'gasmask, respirator, gas helmet',
+ 571: 'gas pump, gasoline pump, petrol pump, island dispenser',
+ 572: 'goblet',
+ 573: 'go-kart',
+ 574: 'golf ball',
+ 575: 'golfcart, golf cart',
+ 576: 'gondola',
+ 577: 'gong, tam-tam',
+ 578: 'gown',
+ 579: 'grand piano, grand',
+ 581: 'grille, radiator grille',
+ 583: 'guillotine',
+ 584: 'hair slide',
+ 585: 'hair spray',
+ 586: 'half track',
+ 587: 'hammer',
+ 588: 'hamper',
+ 589: 'hand blower, blow dryer, blow drier, hair dryer, hair drier',
+ 590: 'hand-held computer, hand-held microcomputer',
+ 591: 'handkerchief, hankie, hanky, hankey',
+ 592: 'hard disc, hard disk, fixed disk',
+ 593: 'harmonica, mouth organ, harp, mouth harp',
+ 594: 'harp',
+ 595: 'harvester, reaper',
+ 596: 'hatchet',
+ 597: 'holster',
+ 599: 'honeycomb',
+ 600: 'hook, claw',
+ 601: 'hoopskirt, crinoline',
+ 602: 'horizontal bar, high bar',
+ 603: 'horse cart, horse-cart',
+ 604: 'hourglass',
+ 605: 'iPod',
+ 606: 'iron, smoothing iron',
+ 607: "jack-o'-lantern",
+ 608: 'jean, blue jean, denim',
+ 609: 'jeep, landrover',
+ 610: 'jersey, T-shirt, tee shirt',
+ 611: 'jigsaw puzzle',
+ 612: 'jinrikisha, ricksha, rickshaw',
+ 613: 'joystick',
+ 614: 'kimono',
+ 615: 'knee pad',
+ 616: 'knot',
+ 617: 'lab coat, laboratory coat',
+ 618: 'ladle',
+ 619: 'lampshade, lamp shade',
+ 620: 'laptop, laptop computer',
+ 621: 'lawn mower, mower',
+ 622: 'lens cap, lens cover',
+ 623: 'letter opener, paper knife, paperknife',
+ 625: 'lifeboat',
+ 626: 'lighter, light, igniter, ignitor',
+ 627: 'limousine, limo',
+ 628: 'liner, ocean liner',
+ 629: 'lipstick, lip rouge',
+ 630: 'Loafer',
+ 631: 'lotion',
+ 632: 'loudspeaker, speaker, speaker unit, loudspeaker system, speaker system',
+ 633: "loupe, jeweler's loupe",
+ 634: 'lumbermill, sawmill',
+ 635: 'magnetic compass',
+ 636: 'mailbag, postbag',
+ 637: 'mailbox, letter box',
+ 638: 'maillot',
+ 639: 'maillot, tank suit',
+ 640: 'manhole cover',
+ 641: 'maraca',
+ 642: 'marimba, xylophone',
+ 643: 'mask',
+ 644: 'matchstick',
+ 645: 'maypole',
+ 646: 'maze, labyrinth',
+ 647: 'measuring cup',
+ 648: 'medicine chest, medicine cabinet',
+ 649: 'megalith, megalithic structure',
+ 650: 'microphone, mike',
+ 651: 'microwave, microwave oven',
+ 652: 'military uniform',
+ 653: 'milk can',
+ 654: 'minibus',
+ 655: 'miniskirt, mini',
+ 656: 'minivan',
+ 657: 'missile',
+ 658: 'mitten',
+ 659: 'mixing bowl',
+ 661: 'Model T',
+ 662: 'modem',
+ 663: 'monastery',
+ 664: 'monitor',
+ 665: 'moped',
+ 666: 'mortar',
+ 667: 'mortarboard',
+ 669: 'mosquito net',
+ 670: 'motor scooter, scooter',
+ 671: 'mountain bike, all-terrain bike, off-roader',
+ 672: 'mountain tent',
+ 673: 'mouse, computer mouse',
+ 674: 'mousetrap',
+ 675: 'moving van',
+ 676: 'muzzle',
+ 677: 'nail',
+ 678: 'neck brace',
+ 679: 'necklace',
+ 680: 'nipple',
+ 681: 'notebook, notebook computer',
+ 682: 'obelisk',
+ 683: 'oboe, hautboy, hautbois',
+ 684: 'ocarina, sweet potato',
+ 685: 'odometer, hodometer, mileometer, milometer',
+ 686: 'oil filter',
+ 687: 'organ, pipe organ',
+ 688: 'oscilloscope, scope, cathode-ray oscilloscope, CRO',
+ 689: 'overskirt',
+ 690: 'oxcart',
+ 691: 'oxygen mask',
+ 692: 'packet',
+ 693: 'paddle, boat paddle',
+ 694: 'paddlewheel, paddle wheel',
+ 695: 'padlock',
+ 696: 'paintbrush',
+ 697: "pajama, pyjama, pj's, jammies",
+ 699: 'panpipe, pandean pipe, syrinx',
+ 700: 'paper towel',
+ 701: 'parachute, chute',
+ 702: 'parallel bars, bars',
+ 703: 'park bench',
+ 704: 'parking meter',
+ 705: 'passenger car, coach, carriage',
+ 707: 'pay-phone, pay-station',
+ 708: 'pedestal, plinth, footstall',
+ 709: 'pencil box, pencil case',
+ 710: 'pencil sharpener',
+ 711: 'perfume, essence',
+ 712: 'Petri dish',
+ 713: 'photocopier',
+ 714: 'pick, plectrum, plectron',
+ 715: 'pickelhaube',
+ 716: 'picket fence, paling',
+ 717: 'pickup, pickup truck',
+ 719: 'piggy bank, penny bank',
+ 720: 'pill bottle',
+ 721: 'pillow',
+ 722: 'ping-pong ball',
+ 723: 'pinwheel',
+ 724: 'pirate, pirate ship',
+ 725: 'pitcher, ewer',
+ 726: "plane, carpenter's plane, woodworking plane",
+ 727: 'planetarium',
+ 728: 'plastic bag',
+ 729: 'plate rack',
+ 730: 'plow, plough',
+ 731: "plunger, plumber's helper",
+ 732: 'Polaroid camera, Polaroid Land camera',
+ 733: 'pole',
+ 734: 'police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria',
+ 735: 'poncho',
+ 736: 'pool table, billiard table, snooker table',
+ 737: 'pop bottle, soda bottle',
+ 738: 'pot, flowerpot',
+ 739: "potter's wheel",
+ 740: 'power drill',
+ 741: 'prayer rug, prayer mat',
+ 742: 'printer',
+ 743: 'prison, prison house',
+ 744: 'projectile, missile',
+ 745: 'projector',
+ 746: 'puck, hockey puck',
+ 747: 'punching bag, punch bag, punching ball, punchball',
+ 748: 'purse',
+ 749: 'quill, quill pen',
+ 750: 'quilt, comforter, comfort, puff',
+ 751: 'racer, race car, racing car',
+ 752: 'racket, racquet',
+ 753: 'radiator',
+ 754: 'radio, wireless',
+ 755: 'radio telescope, radio reflector',
+ 756: 'rain barrel',
+ 757: 'recreational vehicle, RV, R.V.',
+ 758: 'reel',
+ 759: 'reflex camera',
+ 760: 'refrigerator, icebox',
+ 761: 'remote control, remote',
+ 763: 'revolver, six-gun, six-shooter',
+ 764: 'rifle',
+ 765: 'rocking chair, rocker',
+ 766: 'rotisserie',
+ 767: 'rubber eraser, rubber, pencil eraser',
+ 768: 'rugby ball',
+ 769: 'rule, ruler',
+ 770: 'running shoe',
+ 771: 'safe',
+ 772: 'safety pin',
+ 773: 'saltshaker, salt shaker',
+ 774: 'sandal',
+ 775: 'sarong',
+ 776: 'sax, saxophone',
+ 777: 'scabbard',
+ 778: 'scale, weighing machine',
+ 779: 'school bus',
+ 780: 'schooner',
+ 781: 'scoreboard',
+ 782: 'screen, CRT screen',
+ 783: 'screw',
+ 784: 'screwdriver',
+ 785: 'seat belt, seatbelt',
+ 786: 'sewing machine',
+ 787: 'shield, buckler',
+ 789: 'shoji',
+ 790: 'shopping basket',
+ 791: 'shopping cart',
+ 792: 'shovel',
+ 793: 'shower cap',
+ 794: 'shower curtain',
+ 795: 'ski',
+ 796: 'ski mask',
+ 797: 'sleeping bag',
+ 798: 'slide rule, slipstick',
+ 799: 'sliding door',
+ 800: 'slot, one-armed bandit',
+ 801: 'snorkel',
+ 802: 'snowmobile',
+ 803: 'snowplow, snowplough',
+ 804: 'soap dispenser',
+ 805: 'soccer ball',
+ 806: 'sock',
+ 807: 'solar dish, solar collector, solar furnace',
+ 808: 'sombrero',
+ 809: 'soup bowl',
+ 810: 'space bar',
+ 811: 'space heater',
+ 812: 'space shuttle',
+ 813: 'spatula',
+ 814: 'speedboat',
+ 815: "spider web, spider's web",
+ 816: 'spindle',
+ 817: 'sports car, sport car',
+ 818: 'spotlight, spot',
+ 820: 'steam locomotive',
+ 821: 'steel arch bridge',
+ 822: 'steel drum',
+ 823: 'stethoscope',
+ 824: 'stole',
+ 825: 'stone wall',
+ 826: 'stopwatch, stop watch',
+ 827: 'stove',
+ 828: 'strainer',
+ 829: 'streetcar, tram, tramcar, trolley, trolley car',
+ 830: 'stretcher',
+ 831: 'studio couch, day bed',
+ 832: 'stupa, tope',
+ 833: 'submarine, pigboat, sub, U-boat',
+ 834: 'suit, suit of clothes',
+ 835: 'sundial',
+ 836: 'sunglass',
+ 837: 'sunglasses, dark glasses, shades',
+ 838: 'sunscreen, sunblock, sun blocker',
+ 839: 'suspension bridge',
+ 840: 'swab, swob, mop',
+ 841: 'sweatshirt',
+ 842: 'swimming trunks, bathing trunks',
+ 843: 'swing',
+ 844: 'switch, electric switch, electrical switch',
+ 845: 'syringe',
+ 846: 'table lamp',
+ 847: 'tank, army tank, armored combat vehicle, armoured combat vehicle',
+ 848: 'tape player',
+ 849: 'teapot',
+ 850: 'teddy, teddy bear',
+ 851: 'television, television system',
+ 852: 'tennis ball',
+ 853: 'thatch, thatched roof',
+ 854: 'theater curtain, theatre curtain',
+ 855: 'thimble',
+ 856: 'thresher, thrasher, threshing machine',
+ 857: 'throne',
+ 858: 'tile roof',
+ 859: 'toaster',
+ 860: 'tobacco shop, tobacconist shop, tobacconist',
+ 861: 'toilet seat',
+ 862: 'torch',
+ 863: 'totem pole',
+ 864: 'tow truck, tow car, wrecker',
+ 866: 'tractor',
+ 867: 'trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi',
+ 868: 'tray',
+ 869: 'trench coat',
+ 870: 'tricycle, trike, velocipede',
+ 871: 'trimaran',
+ 872: 'tripod',
+ 873: 'triumphal arch',
+ 874: 'trolleybus, trolley coach, trackless trolley',
+ 875: 'trombone',
+ 876: 'tub, vat',
+ 877: 'turnstile',
+ 878: 'typewriter keyboard',
+ 879: 'umbrella',
+ 880: 'unicycle, monocycle',
+ 881: 'upright, upright piano',
+ 882: 'vacuum, vacuum cleaner',
+ 883: 'vase',
+ 884: 'vault',
+ 885: 'velvet',
+ 886: 'vending machine',
+ 887: 'vestment',
+ 889: 'violin, fiddle',
+ 890: 'volleyball',
+ 891: 'waffle iron',
+ 892: 'wall clock',
+ 893: 'wallet, billfold, notecase, pocketbook',
+ 895: 'warplane, military plane',
+ 896: 'washbasin, handbasin, washbowl, lavabo, wash-hand basin',
+ 897: 'washer, automatic washer, washing machine',
+ 898: 'water bottle',
+ 899: 'water jug',
+ 901: 'whiskey jug',
+ 902: 'whistle',
+ 903: 'wig',
+ 904: 'window screen',
+ 905: 'window shade',
+ 906: 'Windsor tie',
+ 907: 'wine bottle',
+ 908: 'wing',
+ 909: 'wok',
+ 910: 'wooden spoon',
+ 911: 'wool, woolen, woollen',
+ 912: 'worm fence, snake fence, snake-rail fence, Virginia fence',
+ 913: 'wreck',
+ 914: 'yawl',
+ 915: 'yurt',
+ 916: 'web site, website, internet site, site',
+ 917: 'comic book',
+ 918: 'crossword puzzle, crossword',
+ 919: 'street sign',
+ 920: 'traffic light, traffic signal, stoplight',
+ 921: 'book jacket, dust cover, dust jacket, dust wrapper',
+ 922: 'menu',
+ 923: 'plate',
+ 924: 'guacamole',
+ 925: 'consomme',
+ 926: 'hot pot, hotpot',
+ 927: 'trifle',
+ 928: 'ice cream, icecream',
+ 929: 'ice lolly, lolly, lollipop, popsicle',
+ 930: 'French loaf',
+ 931: 'bagel, beigel',
+ 932: 'pretzel',
+ 933: 'cheeseburger',
+ 934: 'hotdog, hot dog, red hot',
+ 935: 'mashed potato',
+ 936: 'head cabbage',
+ 937: 'broccoli',
+ 938: 'cauliflower',
+ 939: 'zucchini, courgette',
+ 940: 'spaghetti squash',
+ 941: 'acorn squash',
+ 942: 'butternut squash',
+ 943: 'cucumber, cuke',
+ 944: 'artichoke, globe artichoke',
+ 945: 'bell pepper',
+ 946: 'cardoon',
+ 947: 'mushroom',
+ 948: 'Granny Smith',
+ 949: 'strawberry',
+ 950: 'orange',
+ 951: 'lemon',
+ 952: 'fig',
+ 953: 'pineapple, ananas',
+ 954: 'banana',
+ 955: 'jackfruit, jak, jack',
+ 956: 'custard apple',
+ 957: 'pomegranate',
+ 958: 'hay',
+ 959: 'carbonara',
+ 960: 'chocolate sauce, chocolate syrup',
+ 961: 'dough',
+ 962: 'meat loaf, meatloaf',
+ 963: 'pizza, pizza pie',
+ 964: 'potpie',
+ 965: 'burrito',
+ 966: 'red wine',
+ 967: 'espresso',
+ 968: 'cup',
+ 969: 'eggnog',
+ 970: 'alp',
+ 971: 'bubble',
+ 973: 'coral reef',
+ 974: 'geyser',
+ 975: 'lakeside, lakeshore',
+ 976: 'promontory, headland, head, foreland',
+ 977: 'sandbar, sand bar',
+ 981: 'ballplayer, baseball player',
+ 982: 'groom, bridegroom',
+ 983: 'scuba diver',
+ 984: 'rapeseed',
+ 985: 'daisy',
+ 986: "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum",
+ 987: 'corn',
+ 988: 'acorn',
+ 989: 'hip, rose hip, rosehip',
+ 990: 'buckeye, horse chestnut, conker',
+ 991: 'coral fungus',
+ 992: 'agaric',
+ 993: 'gyromitra',
+ 994: 'stinkhorn, carrion fungus',
+ 995: 'earthstar',
+ 996: 'hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa',
+ 997: 'bolete',
+ 998: 'ear, spike, capitulum',
+ 999: 'toilet tissue, toilet paper, bathroom tissue'

Inter-Dataset/README.md

@@ -1,3 +1,4 @@
 ---
 license: mit
 ---
+#FACETS OOD Detection

Inter-Dataset/generate_inter_dataset_splits.py

@@ -0,0 +1,123 @@
+
+import argparse
+import random
+import os
+
+# Read arguments
+parser = argparse.ArgumentParser(description="Generate test and val splits for the inter_dataset ood detection")
+parser.add_argument("-v", "--val_perc", default="0.5", help="Percentage (as ratio, between 0 and 1) of images to be used as validation set. Remaining images are used as test set")
+parser.add_argument("-s", "--seed", default="42", help="PRNG seed used to generate random numbers")
+args = parser.parse_args()
+
+datasets = ['places_val', 'in_train']
+ID  = 0
+OOD = 1
+val_perc = float(args.val_perc)
+random.seed(int(args.seed))
+
+counters = [0, 0]
+
+# Stratified sampling to obtain test and val splits
+# Output format: oodness (0/1), dataset_index (0-3), class_index (dataset dependent), image_path (relative to the dataset folder)
+
+
+# Create output files
+with open("inter_dataset_val.txt", "w") as f_val:
+    with open("inter_dataset_test.txt", "w") as f_test:
+
+        # Places365-Standard validation set
+
+        with open("../places365-standard-small/places365_val.txt", "r") as places_val_list:
+
+            places_val = {}
+
+            for line in places_val_list:
+
+                fields = line.split()
+
+                if not fields[1] in places_val:
+                    places_val[fields[1]] = []
+
+                places_val[fields[1]].append(fields[0])
+
+
+        for class_index, images in places_val.items():
+
+            output_line = str(ID) + " places_val " + class_index + " "
+
+            class_count = len(images)
+            val_num     = round(class_count * val_perc)
+
+            # flags = random.sample([True, False], counts=[val_num, class_count-val_num], k=class_count)  # Python 3.9+ 
+
+            flags = random.sample([True for _ in range(val_num)] + [False for _ in range(class_count - val_num)], k=class_count)
+
+            for i in range(class_count):
+
+                if flags[i]:
+                    f_val.write(output_line + images[i] + "\n")
+                else:
+                    f_test.write(output_line + images[i] + "\n")
+
+                counters[ID] += 1
+
+
+
+        # ImageNet train
+        # Improvable code
+
+        missing_ood_samples = counters[ID] - counters[OOD]
+
+        if missing_ood_samples > 0:
+
+            imagenet_synsets   = []
+            imagenet_train_dir = "../imagenet2012/ILSVRC/Data/CLS-LOC/train/" 
+            imagenet = {}
+
+            with open("../imagenet2012/LOC_synset_mapping.txt", "r") as f:
+
+                for line in f:
+                    imagenet_synsets.append(line.split()[0])
+
+            with open("ImageNet_only_classes.txt", "r") as f:
+
+                for line in f:
+
+                    class_index = int(line.split(":")[0])
+                    synset = imagenet_synsets[class_index]
+                    imagenet[str(class_index)] = synset
+
+            ood_classes = len(imagenet.keys())
+            samples_per_class = missing_ood_samples // ood_classes
+            remainder         = missing_ood_samples % ood_classes
+
+            for class_index, synset in imagenet.items():
+
+                class_images = os.listdir(imagenet_train_dir + synset)
+                sample = random.sample(class_images, k=samples_per_class if remainder == 0 else samples_per_class + 1)
+
+                if remainder > 0:
+                    remainder -= 1
+                
+                # Split between test and val
+                class_tot = len(sample)
+                val_count = round(class_tot * val_perc)
+
+                flags = random.sample([True for _ in range(val_count)] + [False for _ in range(class_tot - val_count)], k=class_tot)
+
+                output_line = str(OOD) + " in_train " + class_index + " " + synset + "/"
+
+                for i in range(class_tot):
+                    
+                    if flags[i]:
+                        f_val.write(output_line + sample[i] + "\n")
+                    else:
+                        f_test.write(output_line + sample[i] + "\n")
+
+                    counters[OOD] += 1
+
+
+
+print("Tot id samples:", counters[ID])
+print("Tot ood samples:", counters[OOD])
+

WordNet ImageNet/LOC_synset_mapping.txt

@@ -0,0 +1,1000 @@
+n01440764 tench, Tinca tinca
+n01443537 goldfish, Carassius auratus
+n01484850 great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias
+n01491361 tiger shark, Galeocerdo cuvieri
+n01494475 hammerhead, hammerhead shark
+n01496331 electric ray, crampfish, numbfish, torpedo
+n01498041 stingray
+n01514668 cock
+n01514859 hen
+n01518878 ostrich, Struthio camelus
+n01530575 brambling, Fringilla montifringilla
+n01531178 goldfinch, Carduelis carduelis
+n01532829 house finch, linnet, Carpodacus mexicanus
+n01534433 junco, snowbird
+n01537544 indigo bunting, indigo finch, indigo bird, Passerina cyanea
+n01558993 robin, American robin, Turdus migratorius
+n01560419 bulbul
+n01580077 jay
+n01582220 magpie
+n01592084 chickadee
+n01601694 water ouzel, dipper
+n01608432 kite
+n01614925 bald eagle, American eagle, Haliaeetus leucocephalus
+n01616318 vulture
+n01622779 great grey owl, great gray owl, Strix nebulosa
+n01629819 European fire salamander, Salamandra salamandra
+n01630670 common newt, Triturus vulgaris
+n01631663 eft
+n01632458 spotted salamander, Ambystoma maculatum
+n01632777 axolotl, mud puppy, Ambystoma mexicanum
+n01641577 bullfrog, Rana catesbeiana
+n01644373 tree frog, tree-frog
+n01644900 tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui
+n01664065 loggerhead, loggerhead turtle, Caretta caretta
+n01665541 leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea
+n01667114 mud turtle
+n01667778 terrapin
+n01669191 box turtle, box tortoise
+n01675722 banded gecko
+n01677366 common iguana, iguana, Iguana iguana
+n01682714 American chameleon, anole, Anolis carolinensis
+n01685808 whiptail, whiptail lizard
+n01687978 agama
+n01688243 frilled lizard, Chlamydosaurus kingi
+n01689811 alligator lizard
+n01692333 Gila monster, Heloderma suspectum
+n01693334 green lizard, Lacerta viridis
+n01694178 African chameleon, Chamaeleo chamaeleon
+n01695060 Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis
+n01697457 African crocodile, Nile crocodile, Crocodylus niloticus
+n01698640 American alligator, Alligator mississipiensis
+n01704323 triceratops
+n01728572 thunder snake, worm snake, Carphophis amoenus
+n01728920 ringneck snake, ring-necked snake, ring snake
+n01729322 hognose snake, puff adder, sand viper
+n01729977 green snake, grass snake
+n01734418 king snake, kingsnake
+n01735189 garter snake, grass snake
+n01737021 water snake
+n01739381 vine snake
+n01740131 night snake, Hypsiglena torquata
+n01742172 boa constrictor, Constrictor constrictor
+n01744401 rock python, rock snake, Python sebae
+n01748264 Indian cobra, Naja naja
+n01749939 green mamba
+n01751748 sea snake
+n01753488 horned viper, cerastes, sand viper, horned asp, Cerastes cornutus
+n01755581 diamondback, diamondback rattlesnake, Crotalus adamanteus
+n01756291 sidewinder, horned rattlesnake, Crotalus cerastes
+n01768244 trilobite
+n01770081 harvestman, daddy longlegs, Phalangium opilio
+n01770393 scorpion
+n01773157 black and gold garden spider, Argiope aurantia
+n01773549 barn spider, Araneus cavaticus
+n01773797 garden spider, Aranea diademata
+n01774384 black widow, Latrodectus mactans
+n01774750 tarantula
+n01775062 wolf spider, hunting spider
+n01776313 tick
+n01784675 centipede
+n01795545 black grouse
+n01796340 ptarmigan
+n01797886 ruffed grouse, partridge, Bonasa umbellus
+n01798484 prairie chicken, prairie grouse, prairie fowl
+n01806143 peacock
+n01806567 quail
+n01807496 partridge
+n01817953 African grey, African gray, Psittacus erithacus
+n01818515 macaw
+n01819313 sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita
+n01820546 lorikeet
+n01824575 coucal
+n01828970 bee eater
+n01829413 hornbill
+n01833805 hummingbird
+n01843065 jacamar
+n01843383 toucan
+n01847000 drake
+n01855032 red-breasted merganser, Mergus serrator
+n01855672 goose
+n01860187 black swan, Cygnus atratus
+n01871265 tusker
+n01872401 echidna, spiny anteater, anteater
+n01873310 platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus
+n01877812 wallaby, brush kangaroo
+n01882714 koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus
+n01883070 wombat
+n01910747 jellyfish
+n01914609 sea anemone, anemone
+n01917289 brain coral
+n01924916 flatworm, platyhelminth
+n01930112 nematode, nematode worm, roundworm
+n01943899 conch
+n01944390 snail
+n01945685 slug
+n01950731 sea slug, nudibranch
+n01955084 chiton, coat-of-mail shell, sea cradle, polyplacophore
+n01968897 chambered nautilus, pearly nautilus, nautilus
+n01978287 Dungeness crab, Cancer magister
+n01978455 rock crab, Cancer irroratus
+n01980166 fiddler crab
+n01981276 king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica
+n01983481 American lobster, Northern lobster, Maine lobster, Homarus americanus
+n01984695 spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish
+n01985128 crayfish, crawfish, crawdad, crawdaddy
+n01986214 hermit crab
+n01990800 isopod
+n02002556 white stork, Ciconia ciconia
+n02002724 black stork, Ciconia nigra
+n02006656 spoonbill
+n02007558 flamingo
+n02009229 little blue heron, Egretta caerulea
+n02009912 American egret, great white heron, Egretta albus
+n02011460 bittern
+n02012849 crane
+n02013706 limpkin, Aramus pictus
+n02017213 European gallinule, Porphyrio porphyrio
+n02018207 American coot, marsh hen, mud hen, water hen, Fulica americana
+n02018795 bustard
+n02025239 ruddy turnstone, Arenaria interpres
+n02027492 red-backed sandpiper, dunlin, Erolia alpina
+n02028035 redshank, Tringa totanus
+n02033041 dowitcher
+n02037110 oystercatcher, oyster catcher
+n02051845 pelican
+n02056570 king penguin, Aptenodytes patagonica
+n02058221 albatross, mollymawk
+n02066245 grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus
+n02071294 killer whale, killer, orca, grampus, sea wolf, Orcinus orca
+n02074367 dugong, Dugong dugon
+n02077923 sea lion
+n02085620 Chihuahua
+n02085782 Japanese spaniel
+n02085936 Maltese dog, Maltese terrier, Maltese
+n02086079 Pekinese, Pekingese, Peke
+n02086240 Shih-Tzu
+n02086646 Blenheim spaniel
+n02086910 papillon
+n02087046 toy terrier
+n02087394 Rhodesian ridgeback
+n02088094 Afghan hound, Afghan
+n02088238 basset, basset hound
+n02088364 beagle
+n02088466 bloodhound, sleuthhound
+n02088632 bluetick
+n02089078 black-and-tan coonhound
+n02089867 Walker hound, Walker foxhound
+n02089973 English foxhound
+n02090379 redbone
+n02090622 borzoi, Russian wolfhound
+n02090721 Irish wolfhound
+n02091032 Italian greyhound
+n02091134 whippet
+n02091244 Ibizan hound, Ibizan Podenco
+n02091467 Norwegian elkhound, elkhound
+n02091635 otterhound, otter hound
+n02091831 Saluki, gazelle hound
+n02092002 Scottish deerhound, deerhound
+n02092339 Weimaraner
+n02093256 Staffordshire bullterrier, Staffordshire bull terrier
+n02093428 American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier
+n02093647 Bedlington terrier
+n02093754 Border terrier
+n02093859 Kerry blue terrier
+n02093991 Irish terrier
+n02094114 Norfolk terrier
+n02094258 Norwich terrier
+n02094433 Yorkshire terrier
+n02095314 wire-haired fox terrier
+n02095570 Lakeland terrier
+n02095889 Sealyham terrier, Sealyham
+n02096051 Airedale, Airedale terrier
+n02096177 cairn, cairn terrier
+n02096294 Australian terrier
+n02096437 Dandie Dinmont, Dandie Dinmont terrier
+n02096585 Boston bull, Boston terrier
+n02097047 miniature schnauzer
+n02097130 giant schnauzer
+n02097209 standard schnauzer
+n02097298 Scotch terrier, Scottish terrier, Scottie
+n02097474 Tibetan terrier, chrysanthemum dog
+n02097658 silky terrier, Sydney silky
+n02098105 soft-coated wheaten terrier
+n02098286 West Highland white terrier
+n02098413 Lhasa, Lhasa apso
+n02099267 flat-coated retriever
+n02099429 curly-coated retriever
+n02099601 golden retriever
+n02099712 Labrador retriever
+n02099849 Chesapeake Bay retriever
+n02100236 German short-haired pointer
+n02100583 vizsla, Hungarian pointer
+n02100735 English setter
+n02100877 Irish setter, red setter
+n02101006 Gordon setter
+n02101388 Brittany spaniel
+n02101556 clumber, clumber spaniel
+n02102040 English springer, English springer spaniel
+n02102177 Welsh springer spaniel
+n02102318 cocker spaniel, English cocker spaniel, cocker
+n02102480 Sussex spaniel
+n02102973 Irish water spaniel
+n02104029 kuvasz
+n02104365 schipperke
+n02105056 groenendael
+n02105162 malinois
+n02105251 briard
+n02105412 kelpie
+n02105505 komondor
+n02105641 Old English sheepdog, bobtail
+n02105855 Shetland sheepdog, Shetland sheep dog, Shetland
+n02106030 collie
+n02106166 Border collie
+n02106382 Bouvier des Flandres, Bouviers des Flandres
+n02106550 Rottweiler
+n02106662 German shepherd, German shepherd dog, German police dog, alsatian
+n02107142 Doberman, Doberman pinscher
+n02107312 miniature pinscher
+n02107574 Greater Swiss Mountain dog
+n02107683 Bernese mountain dog
+n02107908 Appenzeller
+n02108000 EntleBucher
+n02108089 boxer
+n02108422 bull mastiff
+n02108551 Tibetan mastiff
+n02108915 French bulldog
+n02109047 Great Dane
+n02109525 Saint Bernard, St Bernard
+n02109961 Eskimo dog, husky
+n02110063 malamute, malemute, Alaskan malamute
+n02110185 Siberian husky
+n02110341 dalmatian, coach dog, carriage dog
+n02110627 affenpinscher, monkey pinscher, monkey dog
+n02110806 basenji
+n02110958 pug, pug-dog
+n02111129 Leonberg
+n02111277 Newfoundland, Newfoundland dog
+n02111500 Great Pyrenees
+n02111889 Samoyed, Samoyede
+n02112018 Pomeranian
+n02112137 chow, chow chow
+n02112350 keeshond
+n02112706 Brabancon griffon
+n02113023 Pembroke, Pembroke Welsh corgi
+n02113186 Cardigan, Cardigan Welsh corgi
+n02113624 toy poodle
+n02113712 miniature poodle
+n02113799 standard poodle
+n02113978 Mexican hairless
+n02114367 timber wolf, grey wolf, gray wolf, Canis lupus
+n02114548 white wolf, Arctic wolf, Canis lupus tundrarum
+n02114712 red wolf, maned wolf, Canis rufus, Canis niger
+n02114855 coyote, prairie wolf, brush wolf, Canis latrans
+n02115641 dingo, warrigal, warragal, Canis dingo
+n02115913 dhole, Cuon alpinus
+n02116738 African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus
+n02117135 hyena, hyaena
+n02119022 red fox, Vulpes vulpes
+n02119789 kit fox, Vulpes macrotis
+n02120079 Arctic fox, white fox, Alopex lagopus
+n02120505 grey fox, gray fox, Urocyon cinereoargenteus
+n02123045 tabby, tabby cat
+n02123159 tiger cat
+n02123394 Persian cat
+n02123597 Siamese cat, Siamese
+n02124075 Egyptian cat
+n02125311 cougar, puma, catamount, mountain lion, painter, panther, Felis concolor
+n02127052 lynx, catamount
+n02128385 leopard, Panthera pardus
+n02128757 snow leopard, ounce, Panthera uncia
+n02128925 jaguar, panther, Panthera onca, Felis onca
+n02129165 lion, king of beasts, Panthera leo
+n02129604 tiger, Panthera tigris
+n02130308 cheetah, chetah, Acinonyx jubatus
+n02132136 brown bear, bruin, Ursus arctos
+n02133161 American black bear, black bear, Ursus americanus, Euarctos americanus
+n02134084 ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus
+n02134418 sloth bear, Melursus ursinus, Ursus ursinus
+n02137549 mongoose
+n02138441 meerkat, mierkat
+n02165105 tiger beetle
+n02165456 ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle
+n02167151 ground beetle, carabid beetle
+n02168699 long-horned beetle, longicorn, longicorn beetle
+n02169497 leaf beetle, chrysomelid
+n02172182 dung beetle
+n02174001 rhinoceros beetle
+n02177972 weevil
+n02190166 fly
+n02206856 bee
+n02219486 ant, emmet, pismire
+n02226429 grasshopper, hopper
+n02229544 cricket
+n02231487 walking stick, walkingstick, stick insect
+n02233338 cockroach, roach
+n02236044 mantis, mantid
+n02256656 cicada, cicala
+n02259212 leafhopper
+n02264363 lacewing, lacewing fly
+n02268443 dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk
+n02268853 damselfly
+n02276258 admiral
+n02277742 ringlet, ringlet butterfly
+n02279972 monarch, monarch butterfly, milkweed butterfly, Danaus plexippus
+n02280649 cabbage butterfly
+n02281406 sulphur butterfly, sulfur butterfly
+n02281787 lycaenid, lycaenid butterfly
+n02317335 starfish, sea star
+n02319095 sea urchin
+n02321529 sea cucumber, holothurian
+n02325366 wood rabbit, cottontail, cottontail rabbit
+n02326432 hare
+n02328150 Angora, Angora rabbit
+n02342885 hamster
+n02346627 porcupine, hedgehog
+n02356798 fox squirrel, eastern fox squirrel, Sciurus niger
+n02361337 marmot
+n02363005 beaver
+n02364673 guinea pig, Cavia cobaya
+n02389026 sorrel
+n02391049 zebra
+n02395406 hog, pig, grunter, squealer, Sus scrofa
+n02396427 wild boar, boar, Sus scrofa
+n02397096 warthog
+n02398521 hippopotamus, hippo, river horse, Hippopotamus amphibius
+n02403003 ox
+n02408429 water buffalo, water ox, Asiatic buffalo, Bubalus bubalis
+n02410509 bison
+n02412080 ram, tup
+n02415577 bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis
+n02417914 ibex, Capra ibex
+n02422106 hartebeest
+n02422699 impala, Aepyceros melampus
+n02423022 gazelle
+n02437312 Arabian camel, dromedary, Camelus dromedarius
+n02437616 llama
+n02441942 weasel
+n02442845 mink
+n02443114 polecat, fitch, foulmart, foumart, Mustela putorius
+n02443484 black-footed ferret, ferret, Mustela nigripes
+n02444819 otter
+n02445715 skunk, polecat, wood pussy
+n02447366 badger
+n02454379 armadillo
+n02457408 three-toed sloth, ai, Bradypus tridactylus
+n02480495 orangutan, orang, orangutang, Pongo pygmaeus
+n02480855 gorilla, Gorilla gorilla
+n02481823 chimpanzee, chimp, Pan troglodytes
+n02483362 gibbon, Hylobates lar
+n02483708 siamang, Hylobates syndactylus, Symphalangus syndactylus
+n02484975 guenon, guenon monkey
+n02486261 patas, hussar monkey, Erythrocebus patas
+n02486410 baboon
+n02487347 macaque
+n02488291 langur
+n02488702 colobus, colobus monkey
+n02489166 proboscis monkey, Nasalis larvatus
+n02490219 marmoset
+n02492035 capuchin, ringtail, Cebus capucinus
+n02492660 howler monkey, howler
+n02493509 titi, titi monkey
+n02493793 spider monkey, Ateles geoffroyi
+n02494079 squirrel monkey, Saimiri sciureus
+n02497673 Madagascar cat, ring-tailed lemur, Lemur catta
+n02500267 indri, indris, Indri indri, Indri brevicaudatus
+n02504013 Indian elephant, Elephas maximus
+n02504458 African elephant, Loxodonta africana
+n02509815 lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens
+n02510455 giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca
+n02514041 barracouta, snoek
+n02526121 eel
+n02536864 coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch
+n02606052 rock beauty, Holocanthus tricolor
+n02607072 anemone fish
+n02640242 sturgeon
+n02641379 gar, garfish, garpike, billfish, Lepisosteus osseus
+n02643566 lionfish
+n02655020 puffer, pufferfish, blowfish, globefish
+n02666196 abacus
+n02667093 abaya
+n02669723 academic gown, academic robe, judge's robe
+n02672831 accordion, piano accordion, squeeze box
+n02676566 acoustic guitar
+n02687172 aircraft carrier, carrier, flattop, attack aircraft carrier
+n02690373 airliner
+n02692877 airship, dirigible
+n02699494 altar
+n02701002 ambulance
+n02704792 amphibian, amphibious vehicle
+n02708093 analog clock
+n02727426 apiary, bee house
+n02730930 apron
+n02747177 ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin
+n02749479 assault rifle, assault gun
+n02769748 backpack, back pack, knapsack, packsack, rucksack, haversack
+n02776631 bakery, bakeshop, bakehouse
+n02777292 balance beam, beam
+n02782093 balloon
+n02783161 ballpoint, ballpoint pen, ballpen, Biro
+n02786058 Band Aid
+n02787622 banjo
+n02788148 bannister, banister, balustrade, balusters, handrail
+n02790996 barbell
+n02791124 barber chair
+n02791270 barbershop
+n02793495 barn
+n02794156 barometer
+n02795169 barrel, cask
+n02797295 barrow, garden cart, lawn cart, wheelbarrow
+n02799071 baseball
+n02802426 basketball
+n02804414 bassinet
+n02804610 bassoon
+n02807133 bathing cap, swimming cap
+n02808304 bath towel
+n02808440 bathtub, bathing tub, bath, tub
+n02814533 beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon
+n02814860 beacon, lighthouse, beacon light, pharos
+n02815834 beaker
+n02817516 bearskin, busby, shako
+n02823428 beer bottle
+n02823750 beer glass
+n02825657 bell cote, bell cot
+n02834397 bib
+n02835271 bicycle-built-for-two, tandem bicycle, tandem
+n02837789 bikini, two-piece
+n02840245 binder, ring-binder
+n02841315 binoculars, field glasses, opera glasses
+n02843684 birdhouse
+n02859443 boathouse
+n02860847 bobsled, bobsleigh, bob
+n02865351 bolo tie, bolo, bola tie, bola
+n02869837 bonnet, poke bonnet
+n02870880 bookcase
+n02871525 bookshop, bookstore, bookstall
+n02877765 bottlecap
+n02879718 bow
+n02883205 bow tie, bow-tie, bowtie
+n02892201 brass, memorial tablet, plaque
+n02892767 brassiere, bra, bandeau
+n02894605 breakwater, groin, groyne, mole, bulwark, seawall, jetty
+n02895154 breastplate, aegis, egis
+n02906734 broom
+n02909870 bucket, pail
+n02910353 buckle
+n02916936 bulletproof vest
+n02917067 bullet train, bullet
+n02927161 butcher shop, meat market
+n02930766 cab, hack, taxi, taxicab
+n02939185 caldron, cauldron
+n02948072 candle, taper, wax light
+n02950826 cannon
+n02951358 canoe
+n02951585 can opener, tin opener
+n02963159 cardigan
+n02965783 car mirror
+n02966193 carousel, carrousel, merry-go-round, roundabout, whirligig
+n02966687 carpenter's kit, tool kit
+n02971356 carton
+n02974003 car wheel
+n02977058 cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM
+n02978881 cassette
+n02979186 cassette player
+n02980441 castle
+n02981792 catamaran
+n02988304 CD player
+n02992211 cello, violoncello
+n02992529 cellular telephone, cellular phone, cellphone, cell, mobile phone
+n02999410 chain
+n03000134 chainlink fence
+n03000247 chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour
+n03000684 chain saw, chainsaw
+n03014705 chest
+n03016953 chiffonier, commode
+n03017168 chime, bell, gong
+n03018349 china cabinet, china closet
+n03026506 Christmas stocking
+n03028079 church, church building
+n03032252 cinema, movie theater, movie theatre, movie house, picture palace
+n03041632 cleaver, meat cleaver, chopper
+n03042490 cliff dwelling
+n03045698 cloak
+n03047690 clog, geta, patten, sabot
+n03062245 cocktail shaker
+n03063599 coffee mug
+n03063689 coffeepot
+n03065424 coil, spiral, volute, whorl, helix
+n03075370 combination lock
+n03085013 computer keyboard, keypad
+n03089624 confectionery, confectionary, candy store
+n03095699 container ship, containership, container vessel
+n03100240 convertible
+n03109150 corkscrew, bottle screw
+n03110669 cornet, horn, trumpet, trump
+n03124043 cowboy boot
+n03124170 cowboy hat, ten-gallon hat
+n03125729 cradle
+n03126707 crane
+n03127747 crash helmet
+n03127925 crate
+n03131574 crib, cot
+n03133878 Crock Pot
+n03134739 croquet ball
+n03141823 crutch
+n03146219 cuirass
+n03160309 dam, dike, dyke
+n03179701 desk
+n03180011 desktop computer
+n03187595 dial telephone, dial phone
+n03188531 diaper, nappy, napkin
+n03196217 digital clock
+n03197337 digital watch
+n03201208 dining table, board
+n03207743 dishrag, dishcloth
+n03207941 dishwasher, dish washer, dishwashing machine
+n03208938 disk brake, disc brake
+n03216828 dock, dockage, docking facility
+n03218198 dogsled, dog sled, dog sleigh
+n03220513 dome
+n03223299 doormat, welcome mat
+n03240683 drilling platform, offshore rig
+n03249569 drum, membranophone, tympan
+n03250847 drumstick
+n03255030 dumbbell
+n03259280 Dutch oven
+n03271574 electric fan, blower
+n03272010 electric guitar
+n03272562 electric locomotive
+n03290653 entertainment center
+n03291819 envelope
+n03297495 espresso maker
+n03314780 face powder
+n03325584 feather boa, boa
+n03337140 file, file cabinet, filing cabinet
+n03344393 fireboat
+n03345487 fire engine, fire truck
+n03347037 fire screen, fireguard
+n03355925 flagpole, flagstaff
+n03372029 flute, transverse flute
+n03376595 folding chair
+n03379051 football helmet
+n03384352 forklift
+n03388043 fountain
+n03388183 fountain pen
+n03388549 four-poster
+n03393912 freight car
+n03394916 French horn, horn
+n03400231 frying pan, frypan, skillet
+n03404251 fur coat
+n03417042 garbage truck, dustcart
+n03424325 gasmask, respirator, gas helmet
+n03425413 gas pump, gasoline pump, petrol pump, island dispenser
+n03443371 goblet
+n03444034 go-kart
+n03445777 golf ball
+n03445924 golfcart, golf cart
+n03447447 gondola
+n03447721 gong, tam-tam
+n03450230 gown
+n03452741 grand piano, grand
+n03457902 greenhouse, nursery, glasshouse
+n03459775 grille, radiator grille
+n03461385 grocery store, grocery, food market, market
+n03467068 guillotine
+n03476684 hair slide
+n03476991 hair spray
+n03478589 half track
+n03481172 hammer
+n03482405 hamper
+n03483316 hand blower, blow dryer, blow drier, hair dryer, hair drier
+n03485407 hand-held computer, hand-held microcomputer
+n03485794 handkerchief, hankie, hanky, hankey
+n03492542 hard disc, hard disk, fixed disk
+n03494278 harmonica, mouth organ, harp, mouth harp
+n03495258 harp
+n03496892 harvester, reaper
+n03498962 hatchet
+n03527444 holster
+n03529860 home theater, home theatre
+n03530642 honeycomb
+n03532672 hook, claw
+n03534580 hoopskirt, crinoline
+n03535780 horizontal bar, high bar
+n03538406 horse cart, horse-cart
+n03544143 hourglass
+n03584254 iPod
+n03584829 iron, smoothing iron
+n03590841 jack-o'-lantern
+n03594734 jean, blue jean, denim
+n03594945 jeep, landrover
+n03595614 jersey, T-shirt, tee shirt
+n03598930 jigsaw puzzle
+n03599486 jinrikisha, ricksha, rickshaw
+n03602883 joystick
+n03617480 kimono
+n03623198 knee pad
+n03627232 knot
+n03630383 lab coat, laboratory coat
+n03633091 ladle
+n03637318 lampshade, lamp shade
+n03642806 laptop, laptop computer
+n03649909 lawn mower, mower
+n03657121 lens cap, lens cover
+n03658185 letter opener, paper knife, paperknife
+n03661043 library
+n03662601 lifeboat
+n03666591 lighter, light, igniter, ignitor
+n03670208 limousine, limo
+n03673027 liner, ocean liner
+n03676483 lipstick, lip rouge
+n03680355 Loafer
+n03690938 lotion
+n03691459 loudspeaker, speaker, speaker unit, loudspeaker system, speaker system
+n03692522 loupe, jeweler's loupe
+n03697007 lumbermill, sawmill
+n03706229 magnetic compass
+n03709823 mailbag, postbag
+n03710193 mailbox, letter box
+n03710637 maillot
+n03710721 maillot, tank suit
+n03717622 manhole cover
+n03720891 maraca
+n03721384 marimba, xylophone
+n03724870 mask
+n03729826 matchstick
+n03733131 maypole
+n03733281 maze, labyrinth
+n03733805 measuring cup
+n03742115 medicine chest, medicine cabinet
+n03743016 megalith, megalithic structure
+n03759954 microphone, mike
+n03761084 microwave, microwave oven
+n03763968 military uniform
+n03764736 milk can
+n03769881 minibus
+n03770439 miniskirt, mini
+n03770679 minivan
+n03773504 missile
+n03775071 mitten
+n03775546 mixing bowl
+n03776460 mobile home, manufactured home
+n03777568 Model T
+n03777754 modem
+n03781244 monastery
+n03782006 monitor
+n03785016 moped
+n03786901 mortar
+n03787032 mortarboard
+n03788195 mosque
+n03788365 mosquito net
+n03791053 motor scooter, scooter
+n03792782 mountain bike, all-terrain bike, off-roader
+n03792972 mountain tent
+n03793489 mouse, computer mouse
+n03794056 mousetrap
+n03796401 moving van
+n03803284 muzzle
+n03804744 nail
+n03814639 neck brace
+n03814906 necklace
+n03825788 nipple
+n03832673 notebook, notebook computer
+n03837869 obelisk
+n03838899 oboe, hautboy, hautbois
+n03840681 ocarina, sweet potato
+n03841143 odometer, hodometer, mileometer, milometer
+n03843555 oil filter
+n03854065 organ, pipe organ
+n03857828 oscilloscope, scope, cathode-ray oscilloscope, CRO
+n03866082 overskirt
+n03868242 oxcart
+n03868863 oxygen mask
+n03871628 packet
+n03873416 paddle, boat paddle
+n03874293 paddlewheel, paddle wheel
+n03874599 padlock
+n03876231 paintbrush
+n03877472 pajama, pyjama, pj's, jammies
+n03877845 palace
+n03884397 panpipe, pandean pipe, syrinx
+n03887697 paper towel
+n03888257 parachute, chute
+n03888605 parallel bars, bars
+n03891251 park bench
+n03891332 parking meter
+n03895866 passenger car, coach, carriage
+n03899768 patio, terrace
+n03902125 pay-phone, pay-station
+n03903868 pedestal, plinth, footstall
+n03908618 pencil box, pencil case
+n03908714 pencil sharpener
+n03916031 perfume, essence
+n03920288 Petri dish
+n03924679 photocopier
+n03929660 pick, plectrum, plectron
+n03929855 pickelhaube
+n03930313 picket fence, paling
+n03930630 pickup, pickup truck
+n03933933 pier
+n03935335 piggy bank, penny bank
+n03937543 pill bottle
+n03938244 pillow
+n03942813 ping-pong ball
+n03944341 pinwheel
+n03947888 pirate, pirate ship
+n03950228 pitcher, ewer
+n03954731 plane, carpenter's plane, woodworking plane
+n03956157 planetarium
+n03958227 plastic bag
+n03961711 plate rack
+n03967562 plow, plough
+n03970156 plunger, plumber's helper
+n03976467 Polaroid camera, Polaroid Land camera
+n03976657 pole
+n03977966 police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria
+n03980874 poncho
+n03982430 pool table, billiard table, snooker table
+n03983396 pop bottle, soda bottle
+n03991062 pot, flowerpot
+n03992509 potter's wheel
+n03995372 power drill
+n03998194 prayer rug, prayer mat
+n04004767 printer
+n04005630 prison, prison house
+n04008634 projectile, missile
+n04009552 projector
+n04019541 puck, hockey puck
+n04023962 punching bag, punch bag, punching ball, punchball
+n04026417 purse
+n04033901 quill, quill pen
+n04033995 quilt, comforter, comfort, puff
+n04037443 racer, race car, racing car
+n04039381 racket, racquet
+n04040759 radiator
+n04041544 radio, wireless
+n04044716 radio telescope, radio reflector
+n04049303 rain barrel
+n04065272 recreational vehicle, RV, R.V.
+n04067472 reel
+n04069434 reflex camera
+n04070727 refrigerator, icebox
+n04074963 remote control, remote
+n04081281 restaurant, eating house, eating place, eatery
+n04086273 revolver, six-gun, six-shooter
+n04090263 rifle
+n04099969 rocking chair, rocker
+n04111531 rotisserie
+n04116512 rubber eraser, rubber, pencil eraser
+n04118538 rugby ball
+n04118776 rule, ruler
+n04120489 running shoe
+n04125021 safe
+n04127249 safety pin
+n04131690 saltshaker, salt shaker
+n04133789 sandal
+n04136333 sarong
+n04141076 sax, saxophone
+n04141327 scabbard
+n04141975 scale, weighing machine
+n04146614 school bus
+n04147183 schooner
+n04149813 scoreboard
+n04152593 screen, CRT screen
+n04153751 screw
+n04154565 screwdriver
+n04162706 seat belt, seatbelt
+n04179913 sewing machine
+n04192698 shield, buckler
+n04200800 shoe shop, shoe-shop, shoe store
+n04201297 shoji
+n04204238 shopping basket
+n04204347 shopping cart
+n04208210 shovel
+n04209133 shower cap
+n04209239 shower curtain
+n04228054 ski
+n04229816 ski mask
+n04235860 sleeping bag
+n04238763 slide rule, slipstick
+n04239074 sliding door
+n04243546 slot, one-armed bandit
+n04251144 snorkel
+n04252077 snowmobile
+n04252225 snowplow, snowplough
+n04254120 soap dispenser
+n04254680 soccer ball
+n04254777 sock
+n04258138 solar dish, solar collector, solar furnace
+n04259630 sombrero
+n04263257 soup bowl
+n04264628 space bar
+n04265275 space heater
+n04266014 space shuttle
+n04270147 spatula
+n04273569 speedboat
+n04275548 spider web, spider's web
+n04277352 spindle
+n04285008 sports car, sport car
+n04286575 spotlight, spot
+n04296562 stage
+n04310018 steam locomotive
+n04311004 steel arch bridge
+n04311174 steel drum
+n04317175 stethoscope
+n04325704 stole
+n04326547 stone wall
+n04328186 stopwatch, stop watch
+n04330267 stove
+n04332243 strainer
+n04335435 streetcar, tram, tramcar, trolley, trolley car
+n04336792 stretcher
+n04344873 studio couch, day bed
+n04346328 stupa, tope
+n04347754 submarine, pigboat, sub, U-boat
+n04350905 suit, suit of clothes
+n04355338 sundial
+n04355933 sunglass
+n04356056 sunglasses, dark glasses, shades
+n04357314 sunscreen, sunblock, sun blocker
+n04366367 suspension bridge
+n04367480 swab, swob, mop
+n04370456 sweatshirt
+n04371430 swimming trunks, bathing trunks
+n04371774 swing
+n04372370 switch, electric switch, electrical switch
+n04376876 syringe
+n04380533 table lamp
+n04389033 tank, army tank, armored combat vehicle, armoured combat vehicle
+n04392985 tape player
+n04398044 teapot
+n04399382 teddy, teddy bear
+n04404412 television, television system
+n04409515 tennis ball
+n04417672 thatch, thatched roof
+n04418357 theater curtain, theatre curtain
+n04423845 thimble
+n04428191 thresher, thrasher, threshing machine
+n04429376 throne
+n04435653 tile roof
+n04442312 toaster
+n04443257 tobacco shop, tobacconist shop, tobacconist
+n04447861 toilet seat
+n04456115 torch
+n04458633 totem pole
+n04461696 tow truck, tow car, wrecker
+n04462240 toyshop
+n04465501 tractor
+n04467665 trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi
+n04476259 tray
+n04479046 trench coat
+n04482393 tricycle, trike, velocipede
+n04483307 trimaran
+n04485082 tripod
+n04486054 triumphal arch
+n04487081 trolleybus, trolley coach, trackless trolley
+n04487394 trombone
+n04493381 tub, vat
+n04501370 turnstile
+n04505470 typewriter keyboard
+n04507155 umbrella
+n04509417 unicycle, monocycle
+n04515003 upright, upright piano
+n04517823 vacuum, vacuum cleaner
+n04522168 vase
+n04523525 vault
+n04525038 velvet
+n04525305 vending machine
+n04532106 vestment
+n04532670 viaduct
+n04536866 violin, fiddle
+n04540053 volleyball
+n04542943 waffle iron
+n04548280 wall clock
+n04548362 wallet, billfold, notecase, pocketbook
+n04550184 wardrobe, closet, press
+n04552348 warplane, military plane
+n04553703 washbasin, handbasin, washbowl, lavabo, wash-hand basin
+n04554684 washer, automatic washer, washing machine
+n04557648 water bottle
+n04560804 water jug
+n04562935 water tower
+n04579145 whiskey jug
+n04579432 whistle
+n04584207 wig
+n04589890 window screen
+n04590129 window shade
+n04591157 Windsor tie
+n04591713 wine bottle
+n04592741 wing
+n04596742 wok
+n04597913 wooden spoon
+n04599235 wool, woolen, woollen
+n04604644 worm fence, snake fence, snake-rail fence, Virginia fence
+n04606251 wreck
+n04612504 yawl
+n04613696 yurt
+n06359193 web site, website, internet site, site
+n06596364 comic book
+n06785654 crossword puzzle, crossword
+n06794110 street sign
+n06874185 traffic light, traffic signal, stoplight
+n07248320 book jacket, dust cover, dust jacket, dust wrapper
+n07565083 menu
+n07579787 plate
+n07583066 guacamole
+n07584110 consomme
+n07590611 hot pot, hotpot
+n07613480 trifle
+n07614500 ice cream, icecream
+n07615774 ice lolly, lolly, lollipop, popsicle
+n07684084 French loaf
+n07693725 bagel, beigel
+n07695742 pretzel
+n07697313 cheeseburger
+n07697537 hotdog, hot dog, red hot
+n07711569 mashed potato
+n07714571 head cabbage
+n07714990 broccoli
+n07715103 cauliflower
+n07716358 zucchini, courgette
+n07716906 spaghetti squash
+n07717410 acorn squash
+n07717556 butternut squash
+n07718472 cucumber, cuke
+n07718747 artichoke, globe artichoke
+n07720875 bell pepper
+n07730033 cardoon
+n07734744 mushroom
+n07742313 Granny Smith
+n07745940 strawberry
+n07747607 orange
+n07749582 lemon
+n07753113 fig
+n07753275 pineapple, ananas
+n07753592 banana
+n07754684 jackfruit, jak, jack
+n07760859 custard apple
+n07768694 pomegranate
+n07802026 hay
+n07831146 carbonara
+n07836838 chocolate sauce, chocolate syrup
+n07860988 dough
+n07871810 meat loaf, meatloaf
+n07873807 pizza, pizza pie
+n07875152 potpie
+n07880968 burrito
+n07892512 red wine
+n07920052 espresso
+n07930864 cup
+n07932039 eggnog
+n09193705 alp
+n09229709 bubble
+n09246464 cliff, drop, drop-off
+n09256479 coral reef
+n09288635 geyser
+n09332890 lakeside, lakeshore
+n09399592 promontory, headland, head, foreland
+n09421951 sandbar, sand bar
+n09428293 seashore, coast, seacoast, sea-coast
+n09468604 valley, vale
+n09472597 volcano
+n09835506 ballplayer, baseball player
+n10148035 groom, bridegroom
+n10565667 scuba diver
+n11879895 rapeseed
+n11939491 daisy
+n12057211 yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum
+n12144580 corn
+n12267677 acorn
+n12620546 hip, rose hip, rosehip
+n12768682 buckeye, horse chestnut, conker
+n12985857 coral fungus
+n12998815 agaric
+n13037406 gyromitra
+n13040303 stinkhorn, carrion fungus
+n13044778 earthstar
+n13052670 hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa
+n13054560 bolete
+n13133613 ear, spike, capitulum
+n15075141 toilet tissue, toilet paper, bathroom tissue

WordNet ImageNet/T50/README.md

@@ -1,3 +1,4 @@
 ---
 license: mit
 ---
+#Inter_Dataset

WordNet ImageNet/generate_wordnet_oodness.py

@@ -0,0 +1,162 @@
+from nltk.corpus import LazyCorpusLoader
+from nltk.corpus.reader import WordNetCorpusReader, CorpusReader
+from nltk.corpus import wordnet as wn30, wordnet_ic
+import numpy as np
+import matplotlib.pyplot as plt
+from sklearn.preprocessing import minmax_scale
+
+wn31 = LazyCorpusLoader(
+    "wordnet31",
+    WordNetCorpusReader,
+    LazyCorpusLoader("omw", CorpusReader, r".*/wn-data-.*\.tab", encoding="utf8"),
+)
+
+metrics = ['Path', 'Leacock-Chodorow', 'Wu-Palmer', 'Resnik', 'Jiang-Conrath', 'Lin']
+
+
+def write_similarities():
+
+    brown_ic = wordnet_ic.ic('ic-brown.dat')
+
+    places_classes = []
+    places_synsets = []
+
+    with open('places365_labels.txt', "r") as f:
+
+        for line in f:
+
+            fields = line.split()
+            _class = {
+                'full_name': fields[0],
+                'cleaned_name': fields[0].split('/')[2].replace("_", " "),
+                'index': int(fields[1]),
+                'synsets': [wn31.synset(f) for f in fields[2:]]
+            }
+            # print(fields[0], [(s, s.definition()) for s in synsets])
+            places_classes.append(_class)
+            places_synsets += _class['synsets']
+
+    scores = []
+
+    with open("imagenet_places_similarities.txt", "w") as o:
+        o.write("in_synset;in_label;Path;Path_synset;Leacock-Chodorow;\
+    LC_synset;Wu-Palmer;WP_synset;Resnik;Resnik_synset;Jiang-Conrath;JC_synset;Lin;Lin_synset\n")
+        with open('LOC_synset_mapping.txt', "r") as f:
+
+            for line in f:
+
+                fields = line.split()
+                synset_id = fields[0]
+
+                pos = synset_id[0]
+                offset = int(synset_id[1:])
+                synset = wn30.synset_from_pos_and_offset(pos, offset)
+
+                similarities = {
+                    'Path':             [s.path_similarity(synset) for s in places_synsets],
+                    'Leacock-Chodorow': [s.lch_similarity(synset) for s in places_synsets],
+                    'Wu-Palmer':        [s.wup_similarity(synset) for s in places_synsets],
+                    'Resnik':           [s.res_similarity(synset, brown_ic) for s in places_synsets],
+                    'Jiang-Conrath':    [s.jcn_similarity(synset, brown_ic) for s in places_synsets],
+                    'Lin':              [s.lin_similarity(synset, brown_ic) for s in places_synsets],
+                }
+
+                most_similar = {}
+                for metric in similarities:
+                    val = max(similarities[metric])
+                    idx = similarities[metric].index(val)
+
+                    most_similar[metric] = {
+                        'value': val,
+                        'synset': places_synsets[idx]
+                    }
+
+                scores.append((fields[1:], most_similar))
+
+                sims = ";".join([";".join([str(most_similar[metric]['value']),
+                                           most_similar[metric]['synset'].name()]) for metric in metrics])
+                label = " ".join(fields[1:])
+                output_line = ";".join([fields[0], label, sims])
+                o.write(output_line + "\n")
+
+
+def read_similarities():
+
+    res = []
+
+    with open('imagenet_places_similarities.txt', "r") as f:
+        for line in f.readlines()[1:]:
+
+            fields = line.split(";")
+            obj = {}
+            cnt = 2
+            for m in metrics:
+                obj[m] = {
+                    'value':  float(fields[cnt]),
+                    'synset': wn31.synset(fields[cnt + 1])
+                }
+                cnt += 2
+
+            res.append((fields[1], obj))
+
+    return res
+
+
+def draw_histogram(data, labels, name):
+    fig, axs = plt.subplots(len(labels), 1, figsize=(6.4, 10))
+
+    for i, l in enumerate(labels):
+        axs[i].set_title(l)
+        axs[i].hist(data[:, i], bins=30)
+
+    fig.show()
+    fig.savefig(name)
+
+
+def analysis(data):
+    similarity_arr = np.array([[c[1][m]['value'] for m in metrics] for c in data])  # imagenet_classes x metrics
+
+    draw_histogram(similarity_arr, metrics, "histogram")
+
+    scaled_data = minmax_scale(similarity_arr, axis=0, feature_range=(0, 1))
+    columns = metrics + ["Average", "Average (no ic)"]
+    avg = np.average(scaled_data, axis=1).reshape(-1, 1)
+    avg_no_ic = np.average(scaled_data[:, 0:3], axis=1).reshape(-1, 1)
+    data_and_average = np.concatenate((scaled_data, avg, avg_no_ic), axis=1)
+
+    draw_histogram(data_and_average, columns, "scaled_histogram")
+
+    fig, ax = plt.subplots(figsize=(20, 180))
+    im = ax.pcolormesh(data_and_average)
+    fig.colorbar(im, ax=ax)
+    ax.set_xticks(0.5 + np.arange(len(columns)))
+    ax.set_yticks(0.5 + np.arange(len(data)))
+    ax.set_xticklabels(labels=columns, rotation=90)
+    ax.set_yticklabels(labels=[c[0].split(",")[0] for c in data])
+
+    for y in range(len(data)):
+        for x in range(len(metrics)):
+            ax.text(x+0.1, y+0.2, data[y][1][metrics[x]]['synset'].name(), color="grey")
+
+        ax.text(len(columns) - 1 + 0.1, y + 0.2, "%.2f" % data_and_average[y, -1], color="grey")
+    fig.show()
+    fig.savefig("heatmap")
+
+    return data_and_average
+
+
+def write_output(similarities):
+
+    with open("in_wordnet_oodness.txt", "w") as f:
+        for s in similarities:
+            f.write("%.2f\n" % (1 - s))
+
+
+def main():
+
+    scores = read_similarities()
+    res = analysis(scores)
+    write_output(res[:, -1])
+
+
+main()

WordNet ImageNet/imagenet_labels.txt

@@ -0,0 +1,1000 @@
+ 0: 'tench, Tinca tinca',
+ 1: 'goldfish, Carassius auratus',
+ 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
+ 3: 'tiger shark, Galeocerdo cuvieri',
+ 4: 'hammerhead, hammerhead shark',
+ 5: 'electric ray, crampfish, numbfish, torpedo',
+ 6: 'stingray',
+ 7: 'cock',
+ 8: 'hen',
+ 9: 'ostrich, Struthio camelus',
+ 10: 'brambling, Fringilla montifringilla',
+ 11: 'goldfinch, Carduelis carduelis',
+ 12: 'house finch, linnet, Carpodacus mexicanus',
+ 13: 'junco, snowbird',
+ 14: 'indigo bunting, indigo finch, indigo bird, Passerina cyanea',
+ 15: 'robin, American robin, Turdus migratorius',
+ 16: 'bulbul',
+ 17: 'jay',
+ 18: 'magpie',
+ 19: 'chickadee',
+ 20: 'water ouzel, dipper',
+ 21: 'kite',
+ 22: 'bald eagle, American eagle, Haliaeetus leucocephalus',
+ 23: 'vulture',
+ 24: 'great grey owl, great gray owl, Strix nebulosa',
+ 25: 'European fire salamander, Salamandra salamandra',
+ 26: 'common newt, Triturus vulgaris',
+ 27: 'eft',
+ 28: 'spotted salamander, Ambystoma maculatum',
+ 29: 'axolotl, mud puppy, Ambystoma mexicanum',
+ 30: 'bullfrog, Rana catesbeiana',
+ 31: 'tree frog, tree-frog',
+ 32: 'tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui',
+ 33: 'loggerhead, loggerhead turtle, Caretta caretta',
+ 34: 'leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea',
+ 35: 'mud turtle',
+ 36: 'terrapin',
+ 37: 'box turtle, box tortoise',
+ 38: 'banded gecko',
+ 39: 'common iguana, iguana, Iguana iguana',
+ 40: 'American chameleon, anole, Anolis carolinensis',
+ 41: 'whiptail, whiptail lizard',
+ 42: 'agama',
+ 43: 'frilled lizard, Chlamydosaurus kingi',
+ 44: 'alligator lizard',
+ 45: 'Gila monster, Heloderma suspectum',
+ 46: 'green lizard, Lacerta viridis',
+ 47: 'African chameleon, Chamaeleo chamaeleon',
+ 48: 'Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis',
+ 49: 'African crocodile, Nile crocodile, Crocodylus niloticus',
+ 50: 'American alligator, Alligator mississipiensis',
+ 51: 'triceratops',
+ 52: 'thunder snake, worm snake, Carphophis amoenus',
+ 53: 'ringneck snake, ring-necked snake, ring snake',
+ 54: 'hognose snake, puff adder, sand viper',
+ 55: 'green snake, grass snake',
+ 56: 'king snake, kingsnake',
+ 57: 'garter snake, grass snake',
+ 58: 'water snake',
+ 59: 'vine snake',
+ 60: 'night snake, Hypsiglena torquata',
+ 61: 'boa constrictor, Constrictor constrictor',
+ 62: 'rock python, rock snake, Python sebae',
+ 63: 'Indian cobra, Naja naja',
+ 64: 'green mamba',
+ 65: 'sea snake',
+ 66: 'horned viper, cerastes, sand viper, horned asp, Cerastes cornutus',
+ 67: 'diamondback, diamondback rattlesnake, Crotalus adamanteus',
+ 68: 'sidewinder, horned rattlesnake, Crotalus cerastes',
+ 69: 'trilobite',
+ 70: 'harvestman, daddy longlegs, Phalangium opilio',
+ 71: 'scorpion',
+ 72: 'black and gold garden spider, Argiope aurantia',
+ 73: 'barn spider, Araneus cavaticus',
+ 74: 'garden spider, Aranea diademata',
+ 75: 'black widow, Latrodectus mactans',
+ 76: 'tarantula',
+ 77: 'wolf spider, hunting spider',
+ 78: 'tick',
+ 79: 'centipede',
+ 80: 'black grouse',
+ 81: 'ptarmigan',
+ 82: 'ruffed grouse, partridge, Bonasa umbellus',
+ 83: 'prairie chicken, prairie grouse, prairie fowl',
+ 84: 'peacock',
+ 85: 'quail',
+ 86: 'partridge',
+ 87: 'African grey, African gray, Psittacus erithacus',
+ 88: 'macaw',
+ 89: 'sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita',
+ 90: 'lorikeet',
+ 91: 'coucal',
+ 92: 'bee eater',
+ 93: 'hornbill',
+ 94: 'hummingbird',
+ 95: 'jacamar',
+ 96: 'toucan',
+ 97: 'drake',
+ 98: 'red-breasted merganser, Mergus serrator',
+ 99: 'goose',
+ 100: 'black swan, Cygnus atratus',
+ 101: 'tusker',
+ 102: 'echidna, spiny anteater, anteater',
+ 103: 'platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus',
+ 104: 'wallaby, brush kangaroo',
+ 105: 'koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus',
+ 106: 'wombat',
+ 107: 'jellyfish',
+ 108: 'sea anemone, anemone',
+ 109: 'brain coral',
+ 110: 'flatworm, platyhelminth',
+ 111: 'nematode, nematode worm, roundworm',
+ 112: 'conch',
+ 113: 'snail',
+ 114: 'slug',
+ 115: 'sea slug, nudibranch',
+ 116: 'chiton, coat-of-mail shell, sea cradle, polyplacophore',
+ 117: 'chambered nautilus, pearly nautilus, nautilus',
+ 118: 'Dungeness crab, Cancer magister',
+ 119: 'rock crab, Cancer irroratus',
+ 120: 'fiddler crab',
+ 121: 'king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica',
+ 122: 'American lobster, Northern lobster, Maine lobster, Homarus americanus',
+ 123: 'spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish',
+ 124: 'crayfish, crawfish, crawdad, crawdaddy',
+ 125: 'hermit crab',
+ 126: 'isopod',
+ 127: 'white stork, Ciconia ciconia',
+ 128: 'black stork, Ciconia nigra',
+ 129: 'spoonbill',
+ 130: 'flamingo',
+ 131: 'little blue heron, Egretta caerulea',
+ 132: 'American egret, great white heron, Egretta albus',
+ 133: 'bittern',
+ 134: 'crane',
+ 135: 'limpkin, Aramus pictus',
+ 136: 'European gallinule, Porphyrio porphyrio',
+ 137: 'American coot, marsh hen, mud hen, water hen, Fulica americana',
+ 138: 'bustard',
+ 139: 'ruddy turnstone, Arenaria interpres',
+ 140: 'red-backed sandpiper, dunlin, Erolia alpina',
+ 141: 'redshank, Tringa totanus',
+ 142: 'dowitcher',
+ 143: 'oystercatcher, oyster catcher',
+ 144: 'pelican',
+ 145: 'king penguin, Aptenodytes patagonica',
+ 146: 'albatross, mollymawk',
+ 147: 'grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus',
+ 148: 'killer whale, killer, orca, grampus, sea wolf, Orcinus orca',
+ 149: 'dugong, Dugong dugon',
+ 150: 'sea lion',
+ 151: 'Chihuahua',
+ 152: 'Japanese spaniel',
+ 153: 'Maltese dog, Maltese terrier, Maltese',
+ 154: 'Pekinese, Pekingese, Peke',
+ 155: 'Shih-Tzu',
+ 156: 'Blenheim spaniel',
+ 157: 'papillon',
+ 158: 'toy terrier',
+ 159: 'Rhodesian ridgeback',
+ 160: 'Afghan hound, Afghan',
+ 161: 'basset, basset hound',
+ 162: 'beagle',
+ 163: 'bloodhound, sleuthhound',
+ 164: 'bluetick',
+ 165: 'black-and-tan coonhound',
+ 166: 'Walker hound, Walker foxhound',
+ 167: 'English foxhound',
+ 168: 'redbone',
+ 169: 'borzoi, Russian wolfhound',
+ 170: 'Irish wolfhound',
+ 171: 'Italian greyhound',
+ 172: 'whippet',
+ 173: 'Ibizan hound, Ibizan Podenco',
+ 174: 'Norwegian elkhound, elkhound',
+ 175: 'otterhound, otter hound',
+ 176: 'Saluki, gazelle hound',
+ 177: 'Scottish deerhound, deerhound',
+ 178: 'Weimaraner',
+ 179: 'Staffordshire bullterrier, Staffordshire bull terrier',
+ 180: 'American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier',
+ 181: 'Bedlington terrier',
+ 182: 'Border terrier',
+ 183: 'Kerry blue terrier',
+ 184: 'Irish terrier',
+ 185: 'Norfolk terrier',
+ 186: 'Norwich terrier',
+ 187: 'Yorkshire terrier',
+ 188: 'wire-haired fox terrier',
+ 189: 'Lakeland terrier',
+ 190: 'Sealyham terrier, Sealyham',
+ 191: 'Airedale, Airedale terrier',
+ 192: 'cairn, cairn terrier',
+ 193: 'Australian terrier',
+ 194: 'Dandie Dinmont, Dandie Dinmont terrier',
+ 195: 'Boston bull, Boston terrier',
+ 196: 'miniature schnauzer',
+ 197: 'giant schnauzer',
+ 198: 'standard schnauzer',
+ 199: 'Scotch terrier, Scottish terrier, Scottie',
+ 200: 'Tibetan terrier, chrysanthemum dog',
+ 201: 'silky terrier, Sydney silky',
+ 202: 'soft-coated wheaten terrier',
+ 203: 'West Highland white terrier',
+ 204: 'Lhasa, Lhasa apso',
+ 205: 'flat-coated retriever',
+ 206: 'curly-coated retriever',
+ 207: 'golden retriever',
+ 208: 'Labrador retriever',
+ 209: 'Chesapeake Bay retriever',
+ 210: 'German short-haired pointer',
+ 211: 'vizsla, Hungarian pointer',
+ 212: 'English setter',
+ 213: 'Irish setter, red setter',
+ 214: 'Gordon setter',
+ 215: 'Brittany spaniel',
+ 216: 'clumber, clumber spaniel',
+ 217: 'English springer, English springer spaniel',
+ 218: 'Welsh springer spaniel',
+ 219: 'cocker spaniel, English cocker spaniel, cocker',
+ 220: 'Sussex spaniel',
+ 221: 'Irish water spaniel',
+ 222: 'kuvasz',
+ 223: 'schipperke',
+ 224: 'groenendael',
+ 225: 'malinois',
+ 226: 'briard',
+ 227: 'kelpie',
+ 228: 'komondor',
+ 229: 'Old English sheepdog, bobtail',
+ 230: 'Shetland sheepdog, Shetland sheep dog, Shetland',
+ 231: 'collie',
+ 232: 'Border collie',
+ 233: 'Bouvier des Flandres, Bouviers des Flandres',
+ 234: 'Rottweiler',
+ 235: 'German shepherd, German shepherd dog, German police dog, alsatian',
+ 236: 'Doberman, Doberman pinscher',
+ 237: 'miniature pinscher',
+ 238: 'Greater Swiss Mountain dog',
+ 239: 'Bernese mountain dog',
+ 240: 'Appenzeller',
+ 241: 'EntleBucher',
+ 242: 'boxer',
+ 243: 'bull mastiff',
+ 244: 'Tibetan mastiff',
+ 245: 'French bulldog',
+ 246: 'Great Dane',
+ 247: 'Saint Bernard, St Bernard',
+ 248: 'Eskimo dog, husky',
+ 249: 'malamute, malemute, Alaskan malamute',
+ 250: 'Siberian husky',
+ 251: 'dalmatian, coach dog, carriage dog',
+ 252: 'affenpinscher, monkey pinscher, monkey dog',
+ 253: 'basenji',
+ 254: 'pug, pug-dog',
+ 255: 'Leonberg',
+ 256: 'Newfoundland, Newfoundland dog',
+ 257: 'Great Pyrenees',
+ 258: 'Samoyed, Samoyede',
+ 259: 'Pomeranian',
+ 260: 'chow, chow chow',
+ 261: 'keeshond',
+ 262: 'Brabancon griffon',
+ 263: 'Pembroke, Pembroke Welsh corgi',
+ 264: 'Cardigan, Cardigan Welsh corgi',
+ 265: 'toy poodle',
+ 266: 'miniature poodle',
+ 267: 'standard poodle',
+ 268: 'Mexican hairless',
+ 269: 'timber wolf, grey wolf, gray wolf, Canis lupus',
+ 270: 'white wolf, Arctic wolf, Canis lupus tundrarum',
+ 271: 'red wolf, maned wolf, Canis rufus, Canis niger',
+ 272: 'coyote, prairie wolf, brush wolf, Canis latrans',
+ 273: 'dingo, warrigal, warragal, Canis dingo',
+ 274: 'dhole, Cuon alpinus',
+ 275: 'African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus',
+ 276: 'hyena, hyaena',
+ 277: 'red fox, Vulpes vulpes',
+ 278: 'kit fox, Vulpes macrotis',
+ 279: 'Arctic fox, white fox, Alopex lagopus',
+ 280: 'grey fox, gray fox, Urocyon cinereoargenteus',
+ 281: 'tabby, tabby cat',
+ 282: 'tiger cat',
+ 283: 'Persian cat',
+ 284: 'Siamese cat, Siamese',
+ 285: 'Egyptian cat',
+ 286: 'cougar, puma, catamount, mountain lion, painter, panther, Felis concolor',
+ 287: 'lynx, catamount',
+ 288: 'leopard, Panthera pardus',
+ 289: 'snow leopard, ounce, Panthera uncia',
+ 290: 'jaguar, panther, Panthera onca, Felis onca',
+ 291: 'lion, king of beasts, Panthera leo',
+ 292: 'tiger, Panthera tigris',
+ 293: 'cheetah, chetah, Acinonyx jubatus',
+ 294: 'brown bear, bruin, Ursus arctos',
+ 295: 'American black bear, black bear, Ursus americanus, Euarctos americanus',
+ 296: 'ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus',
+ 297: 'sloth bear, Melursus ursinus, Ursus ursinus',
+ 298: 'mongoose',
+ 299: 'meerkat, mierkat',
+ 300: 'tiger beetle',
+ 301: 'ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle',
+ 302: 'ground beetle, carabid beetle',
+ 303: 'long-horned beetle, longicorn, longicorn beetle',
+ 304: 'leaf beetle, chrysomelid',
+ 305: 'dung beetle',
+ 306: 'rhinoceros beetle',
+ 307: 'weevil',
+ 308: 'fly',
+ 309: 'bee',
+ 310: 'ant, emmet, pismire',
+ 311: 'grasshopper, hopper',
+ 312: 'cricket',
+ 313: 'walking stick, walkingstick, stick insect',
+ 314: 'cockroach, roach',
+ 315: 'mantis, mantid',
+ 316: 'cicada, cicala',
+ 317: 'leafhopper',
+ 318: 'lacewing, lacewing fly',
+ 319: "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",
+ 320: 'damselfly',
+ 321: 'admiral',
+ 322: 'ringlet, ringlet butterfly',
+ 323: 'monarch, monarch butterfly, milkweed butterfly, Danaus plexippus',
+ 324: 'cabbage butterfly',
+ 325: 'sulphur butterfly, sulfur butterfly',
+ 326: 'lycaenid, lycaenid butterfly',
+ 327: 'starfish, sea star',
+ 328: 'sea urchin',
+ 329: 'sea cucumber, holothurian',
+ 330: 'wood rabbit, cottontail, cottontail rabbit',
+ 331: 'hare',
+ 332: 'Angora, Angora rabbit',
+ 333: 'hamster',
+ 334: 'porcupine, hedgehog',
+ 335: 'fox squirrel, eastern fox squirrel, Sciurus niger',
+ 336: 'marmot',
+ 337: 'beaver',
+ 338: 'guinea pig, Cavia cobaya',
+ 339: 'sorrel',
+ 340: 'zebra',
+ 341: 'hog, pig, grunter, squealer, Sus scrofa',
+ 342: 'wild boar, boar, Sus scrofa',
+ 343: 'warthog',
+ 344: 'hippopotamus, hippo, river horse, Hippopotamus amphibius',
+ 345: 'ox',
+ 346: 'water buffalo, water ox, Asiatic buffalo, Bubalus bubalis',
+ 347: 'bison',
+ 348: 'ram, tup',
+ 349: 'bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis',
+ 350: 'ibex, Capra ibex',
+ 351: 'hartebeest',
+ 352: 'impala, Aepyceros melampus',
+ 353: 'gazelle',
+ 354: 'Arabian camel, dromedary, Camelus dromedarius',
+ 355: 'llama',
+ 356: 'weasel',
+ 357: 'mink',
+ 358: 'polecat, fitch, foulmart, foumart, Mustela putorius',
+ 359: 'black-footed ferret, ferret, Mustela nigripes',
+ 360: 'otter',
+ 361: 'skunk, polecat, wood pussy',
+ 362: 'badger',
+ 363: 'armadillo',
+ 364: 'three-toed sloth, ai, Bradypus tridactylus',
+ 365: 'orangutan, orang, orangutang, Pongo pygmaeus',
+ 366: 'gorilla, Gorilla gorilla',
+ 367: 'chimpanzee, chimp, Pan troglodytes',
+ 368: 'gibbon, Hylobates lar',
+ 369: 'siamang, Hylobates syndactylus, Symphalangus syndactylus',
+ 370: 'guenon, guenon monkey',
+ 371: 'patas, hussar monkey, Erythrocebus patas',
+ 372: 'baboon',
+ 373: 'macaque',
+ 374: 'langur',
+ 375: 'colobus, colobus monkey',
+ 376: 'proboscis monkey, Nasalis larvatus',
+ 377: 'marmoset',
+ 378: 'capuchin, ringtail, Cebus capucinus',
+ 379: 'howler monkey, howler',
+ 380: 'titi, titi monkey',
+ 381: 'spider monkey, Ateles geoffroyi',
+ 382: 'squirrel monkey, Saimiri sciureus',
+ 383: 'Madagascar cat, ring-tailed lemur, Lemur catta',
+ 384: 'indri, indris, Indri indri, Indri brevicaudatus',
+ 385: 'Indian elephant, Elephas maximus',
+ 386: 'African elephant, Loxodonta africana',
+ 387: 'lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens',
+ 388: 'giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca',
+ 389: 'barracouta, snoek',
+ 390: 'eel',
+ 391: 'coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch',
+ 392: 'rock beauty, Holocanthus tricolor',
+ 393: 'anemone fish',
+ 394: 'sturgeon',
+ 395: 'gar, garfish, garpike, billfish, Lepisosteus osseus',
+ 396: 'lionfish',
+ 397: 'puffer, pufferfish, blowfish, globefish',
+ 398: 'abacus',
+ 399: 'abaya',
+ 400: "academic gown, academic robe, judge's robe",
+ 401: 'accordion, piano accordion, squeeze box',
+ 402: 'acoustic guitar',
+ 403: 'aircraft carrier, carrier, flattop, attack aircraft carrier',
+ 404: 'airliner',
+ 405: 'airship, dirigible',
+ 406: 'altar',
+ 407: 'ambulance',
+ 408: 'amphibian, amphibious vehicle',
+ 409: 'analog clock',
+ 410: 'apiary, bee house',
+ 411: 'apron',
+ 412: 'ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin',
+ 413: 'assault rifle, assault gun',
+ 414: 'backpack, back pack, knapsack, packsack, rucksack, haversack',
+ 415: 'bakery, bakeshop, bakehouse',
+ 416: 'balance beam, beam',
+ 417: 'balloon',
+ 418: 'ballpoint, ballpoint pen, ballpen, Biro',
+ 419: 'Band Aid',
+ 420: 'banjo',
+ 421: 'bannister, banister, balustrade, balusters, handrail',
+ 422: 'barbell',
+ 423: 'barber chair',
+ 424: 'barbershop',
+ 425: 'barn',
+ 426: 'barometer',
+ 427: 'barrel, cask',
+ 428: 'barrow, garden cart, lawn cart, wheelbarrow',
+ 429: 'baseball',
+ 430: 'basketball',
+ 431: 'bassinet',
+ 432: 'bassoon',
+ 433: 'bathing cap, swimming cap',
+ 434: 'bath towel',
+ 435: 'bathtub, bathing tub, bath, tub',
+ 436: 'beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon',
+ 437: 'beacon, lighthouse, beacon light, pharos',
+ 438: 'beaker',
+ 439: 'bearskin, busby, shako',
+ 440: 'beer bottle',
+ 441: 'beer glass',
+ 442: 'bell cote, bell cot',
+ 443: 'bib',
+ 444: 'bicycle-built-for-two, tandem bicycle, tandem',
+ 445: 'bikini, two-piece',
+ 446: 'binder, ring-binder',
+ 447: 'binoculars, field glasses, opera glasses',
+ 448: 'birdhouse',
+ 449: 'boathouse',
+ 450: 'bobsled, bobsleigh, bob',
+ 451: 'bolo tie, bolo, bola tie, bola',
+ 452: 'bonnet, poke bonnet',
+ 453: 'bookcase',
+ 454: 'bookshop, bookstore, bookstall',
+ 455: 'bottlecap',
+ 456: 'bow',
+ 457: 'bow tie, bow-tie, bowtie',
+ 458: 'brass, memorial tablet, plaque',
+ 459: 'brassiere, bra, bandeau',
+ 460: 'breakwater, groin, groyne, mole, bulwark, seawall, jetty',
+ 461: 'breastplate, aegis, egis',
+ 462: 'broom',
+ 463: 'bucket, pail',
+ 464: 'buckle',
+ 465: 'bulletproof vest',
+ 466: 'bullet train, bullet',
+ 467: 'butcher shop, meat market',
+ 468: 'cab, hack, taxi, taxicab',
+ 469: 'caldron, cauldron',
+ 470: 'candle, taper, wax light',
+ 471: 'cannon',
+ 472: 'canoe',
+ 473: 'can opener, tin opener',
+ 474: 'cardigan',
+ 475: 'car mirror',
+ 476: 'carousel, carrousel, merry-go-round, roundabout, whirligig',
+ 477: "carpenter's kit, tool kit",
+ 478: 'carton',
+ 479: 'car wheel',
+ 480: 'cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM',
+ 481: 'cassette',
+ 482: 'cassette player',
+ 483: 'castle',
+ 484: 'catamaran',
+ 485: 'CD player',
+ 486: 'cello, violoncello',
+ 487: 'cellular telephone, cellular phone, cellphone, cell, mobile phone',
+ 488: 'chain',
+ 489: 'chainlink fence',
+ 490: 'chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour',
+ 491: 'chain saw, chainsaw',
+ 492: 'chest',
+ 493: 'chiffonier, commode',
+ 494: 'chime, bell, gong',
+ 495: 'china cabinet, china closet',
+ 496: 'Christmas stocking',
+ 497: 'church, church building',
+ 498: 'cinema, movie theater, movie theatre, movie house, picture palace',
+ 499: 'cleaver, meat cleaver, chopper',
+ 500: 'cliff dwelling',
+ 501: 'cloak',
+ 502: 'clog, geta, patten, sabot',
+ 503: 'cocktail shaker',
+ 504: 'coffee mug',
+ 505: 'coffeepot',
+ 506: 'coil, spiral, volute, whorl, helix',
+ 507: 'combination lock',
+ 508: 'computer keyboard, keypad',
+ 509: 'confectionery, confectionary, candy store',
+ 510: 'container ship, containership, container vessel',
+ 511: 'convertible',
+ 512: 'corkscrew, bottle screw',
+ 513: 'cornet, horn, trumpet, trump',
+ 514: 'cowboy boot',
+ 515: 'cowboy hat, ten-gallon hat',
+ 516: 'cradle',
+ 517: 'crane',
+ 518: 'crash helmet',
+ 519: 'crate',
+ 520: 'crib, cot',
+ 521: 'Crock Pot',
+ 522: 'croquet ball',
+ 523: 'crutch',
+ 524: 'cuirass',
+ 525: 'dam, dike, dyke',
+ 526: 'desk',
+ 527: 'desktop computer',
+ 528: 'dial telephone, dial phone',
+ 529: 'diaper, nappy, napkin',
+ 530: 'digital clock',
+ 531: 'digital watch',
+ 532: 'dining table, board',
+ 533: 'dishrag, dishcloth',
+ 534: 'dishwasher, dish washer, dishwashing machine',
+ 535: 'disk brake, disc brake',
+ 536: 'dock, dockage, docking facility',
+ 537: 'dogsled, dog sled, dog sleigh',
+ 538: 'dome',
+ 539: 'doormat, welcome mat',
+ 540: 'drilling platform, offshore rig',
+ 541: 'drum, membranophone, tympan',
+ 542: 'drumstick',
+ 543: 'dumbbell',
+ 544: 'Dutch oven',
+ 545: 'electric fan, blower',
+ 546: 'electric guitar',
+ 547: 'electric locomotive',
+ 548: 'entertainment center',
+ 549: 'envelope',
+ 550: 'espresso maker',
+ 551: 'face powder',
+ 552: 'feather boa, boa',
+ 553: 'file, file cabinet, filing cabinet',
+ 554: 'fireboat',
+ 555: 'fire engine, fire truck',
+ 556: 'fire screen, fireguard',
+ 557: 'flagpole, flagstaff',
+ 558: 'flute, transverse flute',
+ 559: 'folding chair',
+ 560: 'football helmet',
+ 561: 'forklift',
+ 562: 'fountain',
+ 563: 'fountain pen',
+ 564: 'four-poster',
+ 565: 'freight car',
+ 566: 'French horn, horn',
+ 567: 'frying pan, frypan, skillet',
+ 568: 'fur coat',
+ 569: 'garbage truck, dustcart',
+ 570: 'gasmask, respirator, gas helmet',
+ 571: 'gas pump, gasoline pump, petrol pump, island dispenser',
+ 572: 'goblet',
+ 573: 'go-kart',
+ 574: 'golf ball',
+ 575: 'golfcart, golf cart',
+ 576: 'gondola',
+ 577: 'gong, tam-tam',
+ 578: 'gown',
+ 579: 'grand piano, grand',
+ 580: 'greenhouse, nursery, glasshouse',
+ 581: 'grille, radiator grille',
+ 582: 'grocery store, grocery, food market, market',
+ 583: 'guillotine',
+ 584: 'hair slide',
+ 585: 'hair spray',
+ 586: 'half track',
+ 587: 'hammer',
+ 588: 'hamper',
+ 589: 'hand blower, blow dryer, blow drier, hair dryer, hair drier',
+ 590: 'hand-held computer, hand-held microcomputer',
+ 591: 'handkerchief, hankie, hanky, hankey',
+ 592: 'hard disc, hard disk, fixed disk',
+ 593: 'harmonica, mouth organ, harp, mouth harp',
+ 594: 'harp',
+ 595: 'harvester, reaper',
+ 596: 'hatchet',
+ 597: 'holster',
+ 598: 'home theater, home theatre',
+ 599: 'honeycomb',
+ 600: 'hook, claw',
+ 601: 'hoopskirt, crinoline',
+ 602: 'horizontal bar, high bar',
+ 603: 'horse cart, horse-cart',
+ 604: 'hourglass',
+ 605: 'iPod',
+ 606: 'iron, smoothing iron',
+ 607: "jack-o'-lantern",
+ 608: 'jean, blue jean, denim',
+ 609: 'jeep, landrover',
+ 610: 'jersey, T-shirt, tee shirt',
+ 611: 'jigsaw puzzle',
+ 612: 'jinrikisha, ricksha, rickshaw',
+ 613: 'joystick',
+ 614: 'kimono',
+ 615: 'knee pad',
+ 616: 'knot',
+ 617: 'lab coat, laboratory coat',
+ 618: 'ladle',
+ 619: 'lampshade, lamp shade',
+ 620: 'laptop, laptop computer',
+ 621: 'lawn mower, mower',
+ 622: 'lens cap, lens cover',
+ 623: 'letter opener, paper knife, paperknife',
+ 624: 'library',
+ 625: 'lifeboat',
+ 626: 'lighter, light, igniter, ignitor',
+ 627: 'limousine, limo',
+ 628: 'liner, ocean liner',
+ 629: 'lipstick, lip rouge',
+ 630: 'Loafer',
+ 631: 'lotion',
+ 632: 'loudspeaker, speaker, speaker unit, loudspeaker system, speaker system',
+ 633: "loupe, jeweler's loupe",
+ 634: 'lumbermill, sawmill',
+ 635: 'magnetic compass',
+ 636: 'mailbag, postbag',
+ 637: 'mailbox, letter box',
+ 638: 'maillot',
+ 639: 'maillot, tank suit',
+ 640: 'manhole cover',
+ 641: 'maraca',
+ 642: 'marimba, xylophone',
+ 643: 'mask',
+ 644: 'matchstick',
+ 645: 'maypole',
+ 646: 'maze, labyrinth',
+ 647: 'measuring cup',
+ 648: 'medicine chest, medicine cabinet',
+ 649: 'megalith, megalithic structure',
+ 650: 'microphone, mike',
+ 651: 'microwave, microwave oven',
+ 652: 'military uniform',
+ 653: 'milk can',
+ 654: 'minibus',
+ 655: 'miniskirt, mini',
+ 656: 'minivan',
+ 657: 'missile',
+ 658: 'mitten',
+ 659: 'mixing bowl',
+ 660: 'mobile home, manufactured home',
+ 661: 'Model T',
+ 662: 'modem',
+ 663: 'monastery',
+ 664: 'monitor',
+ 665: 'moped',
+ 666: 'mortar',
+ 667: 'mortarboard',
+ 668: 'mosque',
+ 669: 'mosquito net',
+ 670: 'motor scooter, scooter',
+ 671: 'mountain bike, all-terrain bike, off-roader',
+ 672: 'mountain tent',
+ 673: 'mouse, computer mouse',
+ 674: 'mousetrap',
+ 675: 'moving van',
+ 676: 'muzzle',
+ 677: 'nail',
+ 678: 'neck brace',
+ 679: 'necklace',
+ 680: 'nipple',
+ 681: 'notebook, notebook computer',
+ 682: 'obelisk',
+ 683: 'oboe, hautboy, hautbois',
+ 684: 'ocarina, sweet potato',
+ 685: 'odometer, hodometer, mileometer, milometer',
+ 686: 'oil filter',
+ 687: 'organ, pipe organ',
+ 688: 'oscilloscope, scope, cathode-ray oscilloscope, CRO',
+ 689: 'overskirt',
+ 690: 'oxcart',
+ 691: 'oxygen mask',
+ 692: 'packet',
+ 693: 'paddle, boat paddle',
+ 694: 'paddlewheel, paddle wheel',
+ 695: 'padlock',
+ 696: 'paintbrush',
+ 697: "pajama, pyjama, pj's, jammies",
+ 698: 'palace',
+ 699: 'panpipe, pandean pipe, syrinx',
+ 700: 'paper towel',
+ 701: 'parachute, chute',
+ 702: 'parallel bars, bars',
+ 703: 'park bench',
+ 704: 'parking meter',
+ 705: 'passenger car, coach, carriage',
+ 706: 'patio, terrace',
+ 707: 'pay-phone, pay-station',
+ 708: 'pedestal, plinth, footstall',
+ 709: 'pencil box, pencil case',
+ 710: 'pencil sharpener',
+ 711: 'perfume, essence',
+ 712: 'Petri dish',
+ 713: 'photocopier',
+ 714: 'pick, plectrum, plectron',
+ 715: 'pickelhaube',
+ 716: 'picket fence, paling',
+ 717: 'pickup, pickup truck',
+ 718: 'pier',
+ 719: 'piggy bank, penny bank',
+ 720: 'pill bottle',
+ 721: 'pillow',
+ 722: 'ping-pong ball',
+ 723: 'pinwheel',
+ 724: 'pirate, pirate ship',
+ 725: 'pitcher, ewer',
+ 726: "plane, carpenter's plane, woodworking plane",
+ 727: 'planetarium',
+ 728: 'plastic bag',
+ 729: 'plate rack',
+ 730: 'plow, plough',
+ 731: "plunger, plumber's helper",
+ 732: 'Polaroid camera, Polaroid Land camera',
+ 733: 'pole',
+ 734: 'police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria',
+ 735: 'poncho',
+ 736: 'pool table, billiard table, snooker table',
+ 737: 'pop bottle, soda bottle',
+ 738: 'pot, flowerpot',
+ 739: "potter's wheel",
+ 740: 'power drill',
+ 741: 'prayer rug, prayer mat',
+ 742: 'printer',
+ 743: 'prison, prison house',
+ 744: 'projectile, missile',
+ 745: 'projector',
+ 746: 'puck, hockey puck',
+ 747: 'punching bag, punch bag, punching ball, punchball',
+ 748: 'purse',
+ 749: 'quill, quill pen',
+ 750: 'quilt, comforter, comfort, puff',
+ 751: 'racer, race car, racing car',
+ 752: 'racket, racquet',
+ 753: 'radiator',
+ 754: 'radio, wireless',
+ 755: 'radio telescope, radio reflector',
+ 756: 'rain barrel',
+ 757: 'recreational vehicle, RV, R.V.',
+ 758: 'reel',
+ 759: 'reflex camera',
+ 760: 'refrigerator, icebox',
+ 761: 'remote control, remote',
+ 762: 'restaurant, eating house, eating place, eatery',
+ 763: 'revolver, six-gun, six-shooter',
+ 764: 'rifle',
+ 765: 'rocking chair, rocker',
+ 766: 'rotisserie',
+ 767: 'rubber eraser, rubber, pencil eraser',
+ 768: 'rugby ball',
+ 769: 'rule, ruler',
+ 770: 'running shoe',
+ 771: 'safe',
+ 772: 'safety pin',
+ 773: 'saltshaker, salt shaker',
+ 774: 'sandal',
+ 775: 'sarong',
+ 776: 'sax, saxophone',
+ 777: 'scabbard',
+ 778: 'scale, weighing machine',
+ 779: 'school bus',
+ 780: 'schooner',
+ 781: 'scoreboard',
+ 782: 'screen, CRT screen',
+ 783: 'screw',
+ 784: 'screwdriver',
+ 785: 'seat belt, seatbelt',
+ 786: 'sewing machine',
+ 787: 'shield, buckler',
+ 788: 'shoe shop, shoe-shop, shoe store',
+ 789: 'shoji',
+ 790: 'shopping basket',
+ 791: 'shopping cart',
+ 792: 'shovel',
+ 793: 'shower cap',
+ 794: 'shower curtain',
+ 795: 'ski',
+ 796: 'ski mask',
+ 797: 'sleeping bag',
+ 798: 'slide rule, slipstick',
+ 799: 'sliding door',
+ 800: 'slot, one-armed bandit',
+ 801: 'snorkel',
+ 802: 'snowmobile',
+ 803: 'snowplow, snowplough',
+ 804: 'soap dispenser',
+ 805: 'soccer ball',
+ 806: 'sock',
+ 807: 'solar dish, solar collector, solar furnace',
+ 808: 'sombrero',
+ 809: 'soup bowl',
+ 810: 'space bar',
+ 811: 'space heater',
+ 812: 'space shuttle',
+ 813: 'spatula',
+ 814: 'speedboat',
+ 815: "spider web, spider's web",
+ 816: 'spindle',
+ 817: 'sports car, sport car',
+ 818: 'spotlight, spot',
+ 819: 'stage',
+ 820: 'steam locomotive',
+ 821: 'steel arch bridge',
+ 822: 'steel drum',
+ 823: 'stethoscope',
+ 824: 'stole',
+ 825: 'stone wall',
+ 826: 'stopwatch, stop watch',
+ 827: 'stove',
+ 828: 'strainer',
+ 829: 'streetcar, tram, tramcar, trolley, trolley car',
+ 830: 'stretcher',
+ 831: 'studio couch, day bed',
+ 832: 'stupa, tope',
+ 833: 'submarine, pigboat, sub, U-boat',
+ 834: 'suit, suit of clothes',
+ 835: 'sundial',
+ 836: 'sunglass',
+ 837: 'sunglasses, dark glasses, shades',
+ 838: 'sunscreen, sunblock, sun blocker',
+ 839: 'suspension bridge',
+ 840: 'swab, swob, mop',
+ 841: 'sweatshirt',
+ 842: 'swimming trunks, bathing trunks',
+ 843: 'swing',
+ 844: 'switch, electric switch, electrical switch',
+ 845: 'syringe',
+ 846: 'table lamp',
+ 847: 'tank, army tank, armored combat vehicle, armoured combat vehicle',
+ 848: 'tape player',
+ 849: 'teapot',
+ 850: 'teddy, teddy bear',
+ 851: 'television, television system',
+ 852: 'tennis ball',
+ 853: 'thatch, thatched roof',
+ 854: 'theater curtain, theatre curtain',
+ 855: 'thimble',
+ 856: 'thresher, thrasher, threshing machine',
+ 857: 'throne',
+ 858: 'tile roof',
+ 859: 'toaster',
+ 860: 'tobacco shop, tobacconist shop, tobacconist',
+ 861: 'toilet seat',
+ 862: 'torch',
+ 863: 'totem pole',
+ 864: 'tow truck, tow car, wrecker',
+ 865: 'toyshop',
+ 866: 'tractor',
+ 867: 'trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi',
+ 868: 'tray',
+ 869: 'trench coat',
+ 870: 'tricycle, trike, velocipede',
+ 871: 'trimaran',
+ 872: 'tripod',
+ 873: 'triumphal arch',
+ 874: 'trolleybus, trolley coach, trackless trolley',
+ 875: 'trombone',
+ 876: 'tub, vat',
+ 877: 'turnstile',
+ 878: 'typewriter keyboard',
+ 879: 'umbrella',
+ 880: 'unicycle, monocycle',
+ 881: 'upright, upright piano',
+ 882: 'vacuum, vacuum cleaner',
+ 883: 'vase',
+ 884: 'vault',
+ 885: 'velvet',
+ 886: 'vending machine',
+ 887: 'vestment',
+ 888: 'viaduct',
+ 889: 'violin, fiddle',
+ 890: 'volleyball',
+ 891: 'waffle iron',
+ 892: 'wall clock',
+ 893: 'wallet, billfold, notecase, pocketbook',
+ 894: 'wardrobe, closet, press',
+ 895: 'warplane, military plane',
+ 896: 'washbasin, handbasin, washbowl, lavabo, wash-hand basin',
+ 897: 'washer, automatic washer, washing machine',
+ 898: 'water bottle',
+ 899: 'water jug',
+ 900: 'water tower',
+ 901: 'whiskey jug',
+ 902: 'whistle',
+ 903: 'wig',
+ 904: 'window screen',
+ 905: 'window shade',
+ 906: 'Windsor tie',
+ 907: 'wine bottle',
+ 908: 'wing',
+ 909: 'wok',
+ 910: 'wooden spoon',
+ 911: 'wool, woolen, woollen',
+ 912: 'worm fence, snake fence, snake-rail fence, Virginia fence',
+ 913: 'wreck',
+ 914: 'yawl',
+ 915: 'yurt',
+ 916: 'web site, website, internet site, site',
+ 917: 'comic book',
+ 918: 'crossword puzzle, crossword',
+ 919: 'street sign',
+ 920: 'traffic light, traffic signal, stoplight',
+ 921: 'book jacket, dust cover, dust jacket, dust wrapper',
+ 922: 'menu',
+ 923: 'plate',
+ 924: 'guacamole',
+ 925: 'consomme',
+ 926: 'hot pot, hotpot',
+ 927: 'trifle',
+ 928: 'ice cream, icecream',
+ 929: 'ice lolly, lolly, lollipop, popsicle',
+ 930: 'French loaf',
+ 931: 'bagel, beigel',
+ 932: 'pretzel',
+ 933: 'cheeseburger',
+ 934: 'hotdog, hot dog, red hot',
+ 935: 'mashed potato',
+ 936: 'head cabbage',
+ 937: 'broccoli',
+ 938: 'cauliflower',
+ 939: 'zucchini, courgette',
+ 940: 'spaghetti squash',
+ 941: 'acorn squash',
+ 942: 'butternut squash',
+ 943: 'cucumber, cuke',
+ 944: 'artichoke, globe artichoke',
+ 945: 'bell pepper',
+ 946: 'cardoon',
+ 947: 'mushroom',
+ 948: 'Granny Smith',
+ 949: 'strawberry',
+ 950: 'orange',
+ 951: 'lemon',
+ 952: 'fig',
+ 953: 'pineapple, ananas',
+ 954: 'banana',
+ 955: 'jackfruit, jak, jack',
+ 956: 'custard apple',
+ 957: 'pomegranate',
+ 958: 'hay',
+ 959: 'carbonara',
+ 960: 'chocolate sauce, chocolate syrup',
+ 961: 'dough',
+ 962: 'meat loaf, meatloaf',
+ 963: 'pizza, pizza pie',
+ 964: 'potpie',
+ 965: 'burrito',
+ 966: 'red wine',
+ 967: 'espresso',
+ 968: 'cup',
+ 969: 'eggnog',
+ 970: 'alp',
+ 971: 'bubble',
+ 972: 'cliff, drop, drop-off',
+ 973: 'coral reef',
+ 974: 'geyser',
+ 975: 'lakeside, lakeshore',
+ 976: 'promontory, headland, head, foreland',
+ 977: 'sandbar, sand bar',
+ 978: 'seashore, coast, seacoast, sea-coast',
+ 979: 'valley, vale',
+ 980: 'volcano',
+ 981: 'ballplayer, baseball player',
+ 982: 'groom, bridegroom',
+ 983: 'scuba diver',
+ 984: 'rapeseed',
+ 985: 'daisy',
+ 986: "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum",
+ 987: 'corn',
+ 988: 'acorn',
+ 989: 'hip, rose hip, rosehip',
+ 990: 'buckeye, horse chestnut, conker',
+ 991: 'coral fungus',
+ 992: 'agaric',
+ 993: 'gyromitra',
+ 994: 'stinkhorn, carrion fungus',
+ 995: 'earthstar',
+ 996: 'hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa',
+ 997: 'bolete',
+ 998: 'ear, spike, capitulum',
+ 999: 'toilet tissue, toilet paper, bathroom tissue'

WordNet ImageNet/in_wordnet_oodness.txt

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WordNet ImageNet/places365_labels.txt

@@ -0,0 +1,365 @@
+/a/airfield 0 airfield.n.01
+/a/airplane_cabin 1 cabin.n.03
+/a/airport_terminal 2 air_terminal.n.01
+/a/alcove 3 alcove.n.01
+/a/alley 4 alley.n.01
+/a/amphitheater 5 amphitheater.n.02 amphitheater.n.01
+/a/amusement_arcade 6 amusement_arcade.n.01
+/a/amusement_park 7 amusement_park.n.01
+/a/apartment_building/outdoor 8 apartment_building.n.01
+/a/aquarium 9 aquarium.n.01
+/a/aqueduct 10 aqueduct.n.01
+/a/arcade 11 arcade.n.02 arcade.n.01
+/a/arch 12 arch.n.01 arch.n.03 arch.n.04
+/a/archaelogical_excavation 13 dig.n.01
+/a/archive 14 archive.n.01
+/a/arena/hockey 15 ice_rink.n.01
+/a/arena/performance 16 stadium.n.01
+/a/arena/rodeo 17 rodeo.n.01
+/a/army_base 18 base.n.01
+/a/art_gallery 19 gallery.n.03
+/a/art_school 20 art_school.n.01
+/a/art_studio 21 studio.n.01
+/a/artists_loft 22 loft.n.02
+/a/assembly_line 23 production_line.n.01
+/a/athletic_field/outdoor 24 playing_field.n.02
+/a/atrium/public 25 atrium.n.01 atrium.n.02
+/a/attic 26 loft.n.02
+/a/auditorium 27 auditorium.n.01
+/a/auto_factory 28 automobile_factory.n.01
+/a/auto_showroom 29 showroom.n.01
+/b/badlands 30 badlands.n.01
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+/b/balcony/exterior 32 balcony.n.02
+/b/balcony/interior 33 balcony.n.02
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+/b/bamboo_forest 36 bamboo.n.01 bamboo.n.02
+/b/bank_vault 37 vault.n.02
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+/b/beach 48 beach.n.01
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+/b/beer_hall 54 beer_hall.n.01
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+/c/corral 105 cow_pen.n.01
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+/d/diner/outdoor 119 diner.n.03
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+/d/discotheque 122 disco.n.02
+/d/doorway/outdoor 123 doorway.n.01
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+/e/elevator/door 129 elevator.n.01
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+/e/engine_room 133 engineering.n.03
+/e/entrance_hall 134 anteroom.n.01
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+/f/football_field 149 football_field.n.01
+/f/forest/broadleaf 150 forest.n.01
+/f/forest_path 151 path.n.03
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+/g/gazebo/exterior 159 gazebo.n.01
+/g/general_store/indoor 160 country_store.n.01
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+/g/glacier 163 glacier.n.01
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+/g/grotto 167 grotto.n.01
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+/h/hangar/indoor 169 airdock.n.01
+/h/hangar/outdoor 170 airdock.n.01
+/h/harbor 171 seaport.n.01
+/h/hardware_store 172 hardware_store.n.01
+/h/hayfield 173 hayfield.n.01
+/h/heliport 174 heliport.n.01
+/h/highway 175 highway.n.01
+/h/home_office 176 office.n.01
+/h/home_theater 177 home_theater.n.01
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+/h/hospital_room 179 hospital_room.n.01
+/h/hot_spring 180 hot_spring.n.01
+/h/hotel/outdoor 181 hotel.n.01
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+/h/house 183 house.n.01
+/h/hunting_lodge/outdoor 184 lodge.n.04
+/i/ice_cream_parlor 185 ice_cream.n.01
+/i/ice_floe 186 ice_floe.n.01
+/i/ice_shelf 187 shelf_ice.n.01
+/i/ice_skating_rink/indoor 188 rink.n.01
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+/i/igloo 191 igloo.n.01
+/i/industrial_area 192 plant.n.01
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+/z/zen_garden 364 rock_garden.n.01