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n02119789 1 kit_fox | |
n02100735 2 English_setter | |
n02110185 3 Siberian_husky | |
n02096294 4 Australian_terrier | |
n02102040 5 English_springer | |
n02066245 6 grey_whale | |
n02509815 7 lesser_panda | |
n02124075 8 Egyptian_cat | |
n02417914 9 ibex | |
n02123394 10 Persian_cat | |
n02125311 11 cougar | |
n02423022 12 gazelle | |
n02346627 13 porcupine | |
n02077923 14 sea_lion | |
n02110063 15 malamute | |
n02447366 16 badger | |
n02109047 17 Great_Dane | |
n02089867 18 Walker_hound | |
n02102177 19 Welsh_springer_spaniel | |
n02091134 20 whippet | |
n02092002 21 Scottish_deerhound | |
n02071294 22 killer_whale | |
n02442845 23 mink | |
n02504458 24 African_elephant | |
n02092339 25 Weimaraner | |
n02098105 26 soft-coated_wheaten_terrier | |
n02096437 27 Dandie_Dinmont | |
n02114712 28 red_wolf | |
n02105641 29 Old_English_sheepdog | |
n02128925 30 jaguar | |
n02091635 31 otterhound | |
n02088466 32 bloodhound | |
n02096051 33 Airedale | |
n02117135 34 hyena | |
n02138441 35 meerkat | |
n02097130 36 giant_schnauzer | |
n02493509 37 titi | |
n02457408 38 three-toed_sloth | |
n02389026 39 sorrel | |
n02443484 40 black-footed_ferret | |
n02110341 41 dalmatian | |
n02089078 42 black-and-tan_coonhound | |
n02086910 43 papillon | |
n02445715 44 skunk | |
n02093256 45 Staffordshire_bullterrier | |
n02113978 46 Mexican_hairless | |
n02106382 47 Bouvier_des_Flandres | |
n02441942 48 weasel | |
n02113712 49 miniature_poodle | |
n02113186 50 Cardigan | |
n02105162 51 malinois | |
n02415577 52 bighorn | |
n02356798 53 fox_squirrel | |
n02488702 54 colobus | |
n02123159 55 tiger_cat | |
n02098413 56 Lhasa | |
n02422699 57 impala | |
n02114855 58 coyote | |
n02094433 59 Yorkshire_terrier | |
n02111277 60 Newfoundland | |
n02132136 61 brown_bear | |
n02119022 62 red_fox | |
n02091467 63 Norwegian_elkhound | |
n02106550 64 Rottweiler | |
n02422106 65 hartebeest | |
n02091831 66 Saluki | |
n02120505 67 grey_fox | |
n02104365 68 schipperke | |
n02086079 69 Pekinese | |
n02112706 70 Brabancon_griffon | |
n02098286 71 West_Highland_white_terrier | |
n02095889 72 Sealyham_terrier | |
n02484975 73 guenon | |
n02137549 74 mongoose | |
n02500267 75 indri | |
n02129604 76 tiger | |
n02090721 77 Irish_wolfhound | |
n02396427 78 wild_boar | |
n02108000 79 EntleBucher | |
n02391049 80 zebra | |
n02412080 81 ram | |
n02108915 82 French_bulldog | |
n02480495 83 orangutan | |
n02110806 84 basenji | |
n02128385 85 leopard | |
n02107683 86 Bernese_mountain_dog | |
n02085936 87 Maltese_dog | |
n02094114 88 Norfolk_terrier | |
n02087046 89 toy_terrier | |
n02100583 90 vizsla | |
n02096177 91 cairn | |
n02494079 92 squirrel_monkey | |
n02105056 93 groenendael | |
n02101556 94 clumber | |
n02123597 95 Siamese_cat | |
n02481823 96 chimpanzee | |
n02105505 97 komondor | |
n02088094 98 Afghan_hound | |
n02085782 99 Japanese_spaniel | |
n02489166 100 proboscis_monkey | |
n02364673 101 guinea_pig | |
n02114548 102 white_wolf | |
n02134084 103 ice_bear | |
n02480855 104 gorilla | |
n02090622 105 borzoi | |
n02113624 106 toy_poodle | |
n02093859 107 Kerry_blue_terrier | |
n02403003 108 ox | |
n02097298 109 Scotch_terrier | |
n02108551 110 Tibetan_mastiff | |
n02493793 111 spider_monkey | |
n02107142 112 Doberman | |
n02096585 113 Boston_bull | |
n02107574 114 Greater_Swiss_Mountain_dog | |
n02107908 115 Appenzeller | |
n02086240 116 Shih-Tzu | |
n02102973 117 Irish_water_spaniel | |
n02112018 118 Pomeranian | |
n02093647 119 Bedlington_terrier | |
n02397096 120 warthog | |
n02437312 121 Arabian_camel | |
n02483708 122 siamang | |
n02097047 123 miniature_schnauzer | |
n02106030 124 collie | |
n02099601 125 golden_retriever | |
n02093991 126 Irish_terrier | |
n02110627 127 affenpinscher | |
n02106166 128 Border_collie | |
n02326432 129 hare | |
n02108089 130 boxer | |
n02097658 131 silky_terrier | |
n02088364 132 beagle | |
n02111129 133 Leonberg | |
n02100236 134 German_short-haired_pointer | |
n02486261 135 patas | |
n02115913 136 dhole | |
n02486410 137 baboon | |
n02487347 138 macaque | |
n02099849 139 Chesapeake_Bay_retriever | |
n02108422 140 bull_mastiff | |
n02104029 141 kuvasz | |
n02492035 142 capuchin | |
n02110958 143 pug | |
n02099429 144 curly-coated_retriever | |
n02094258 145 Norwich_terrier | |
n02099267 146 flat-coated_retriever | |
n02395406 147 hog | |
n02112350 148 keeshond | |
n02109961 149 Eskimo_dog | |
n02101388 150 Brittany_spaniel | |
n02113799 151 standard_poodle | |
n02095570 152 Lakeland_terrier | |
n02128757 153 snow_leopard | |
n02101006 154 Gordon_setter | |
n02115641 155 dingo | |
n02097209 156 standard_schnauzer | |
n02342885 157 hamster | |
n02097474 158 Tibetan_terrier | |
n02120079 159 Arctic_fox | |
n02095314 160 wire-haired_fox_terrier | |
n02088238 161 basset | |
n02408429 162 water_buffalo | |
n02133161 163 American_black_bear | |
n02328150 164 Angora | |
n02410509 165 bison | |
n02492660 166 howler_monkey | |
n02398521 167 hippopotamus | |
n02112137 168 chow | |
n02510455 169 giant_panda | |
n02093428 170 American_Staffordshire_terrier | |
n02105855 171 Shetland_sheepdog | |
n02111500 172 Great_Pyrenees | |
n02085620 173 Chihuahua | |
n02123045 174 tabby | |
n02490219 175 marmoset | |
n02099712 176 Labrador_retriever | |
n02109525 177 Saint_Bernard | |
n02454379 178 armadillo | |
n02111889 179 Samoyed | |
n02088632 180 bluetick | |
n02090379 181 redbone | |
n02443114 182 polecat | |
n02361337 183 marmot | |
n02105412 184 kelpie | |
n02483362 185 gibbon | |
n02437616 186 llama | |
n02107312 187 miniature_pinscher | |
n02325366 188 wood_rabbit | |
n02091032 189 Italian_greyhound | |
n02129165 190 lion | |
n02102318 191 cocker_spaniel | |
n02100877 192 Irish_setter | |
n02074367 193 dugong | |
n02504013 194 Indian_elephant | |
n02363005 195 beaver | |
n02102480 196 Sussex_spaniel | |
n02113023 197 Pembroke | |
n02086646 198 Blenheim_spaniel | |
n02497673 199 Madagascar_cat | |
n02087394 200 Rhodesian_ridgeback | |
n02127052 201 lynx | |
n02116738 202 African_hunting_dog | |
n02488291 203 langur | |
n02091244 204 Ibizan_hound | |
n02114367 205 timber_wolf | |
n02130308 206 cheetah | |
n02089973 207 English_foxhound | |
n02105251 208 briard | |
n02134418 209 sloth_bear | |
n02093754 210 Border_terrier | |
n02106662 211 German_shepherd | |
n02444819 212 otter | |
n01882714 213 koala | |
n01871265 214 tusker | |
n01872401 215 echidna | |
n01877812 216 wallaby | |
n01873310 217 platypus | |
n01883070 218 wombat | |
n04086273 219 revolver | |
n04507155 220 umbrella | |
n04147183 221 schooner | |
n04254680 222 soccer_ball | |
n02672831 223 accordion | |
n02219486 224 ant | |
n02317335 225 starfish | |
n01968897 226 chambered_nautilus | |
n03452741 227 grand_piano | |
n03642806 228 laptop | |
n07745940 229 strawberry | |
n02690373 230 airliner | |
n04552348 231 warplane | |
n02692877 232 airship | |
n02782093 233 balloon | |
n04266014 234 space_shuttle | |
n03344393 235 fireboat | |
n03447447 236 gondola | |
n04273569 237 speedboat | |
n03662601 238 lifeboat | |
n02951358 239 canoe | |
n04612504 240 yawl | |
n02981792 241 catamaran | |
n04483307 242 trimaran | |
n03095699 243 container_ship | |
n03673027 244 liner | |
n03947888 245 pirate | |
n02687172 246 aircraft_carrier | |
n04347754 247 submarine | |
n04606251 248 wreck | |
n03478589 249 half_track | |
n04389033 250 tank | |
n03773504 251 missile | |
n02860847 252 bobsled | |
n03218198 253 dogsled | |
n02835271 254 bicycle-built-for-two | |
n03792782 255 mountain_bike | |
n03393912 256 freight_car | |
n03895866 257 passenger_car | |
n02797295 258 barrow | |
n04204347 259 shopping_cart | |
n03791053 260 motor_scooter | |
n03384352 261 forklift | |
n03272562 262 electric_locomotive | |
n04310018 263 steam_locomotive | |
n02704792 264 amphibian | |
n02701002 265 ambulance | |
n02814533 266 beach_wagon | |
n02930766 267 cab | |
n03100240 268 convertible | |
n03594945 269 jeep | |
n03670208 270 limousine | |
n03770679 271 minivan | |
n03777568 272 Model_T | |
n04037443 273 racer | |
n04285008 274 sports_car | |
n03444034 275 go-kart | |
n03445924 276 golfcart | |
n03785016 277 moped | |
n04252225 278 snowplow | |
n03345487 279 fire_engine | |
n03417042 280 garbage_truck | |
n03930630 281 pickup | |
n04461696 282 tow_truck | |
n04467665 283 trailer_truck | |
n03796401 284 moving_van | |
n03977966 285 police_van | |
n04065272 286 recreational_vehicle | |
n04335435 287 streetcar | |
n04252077 288 snowmobile | |
n04465501 289 tractor | |
n03776460 290 mobile_home | |
n04482393 291 tricycle | |
n04509417 292 unicycle | |
n03538406 293 horse_cart | |
n03599486 294 jinrikisha | |
n03868242 295 oxcart | |
n02804414 296 bassinet | |
n03125729 297 cradle | |
n03131574 298 crib | |
n03388549 299 four-poster | |
n02870880 300 bookcase | |
n03018349 301 china_cabinet | |
n03742115 302 medicine_chest | |
n03016953 303 chiffonier | |
n04380533 304 table_lamp | |
n03337140 305 file | |
n03891251 306 park_bench | |
n02791124 307 barber_chair | |
n04429376 308 throne | |
n03376595 309 folding_chair | |
n04099969 310 rocking_chair | |
n04344873 311 studio_couch | |
n04447861 312 toilet_seat | |
n03179701 313 desk | |
n03982430 314 pool_table | |
n03201208 315 dining_table | |
n03290653 316 entertainment_center | |
n04550184 317 wardrobe | |
n07742313 318 Granny_Smith | |
n07747607 319 orange | |
n07749582 320 lemon | |
n07753113 321 fig | |
n07753275 322 pineapple | |
n07753592 323 banana | |
n07754684 324 jackfruit | |
n07760859 325 custard_apple | |
n07768694 326 pomegranate | |
n12267677 327 acorn | |
n12620546 328 hip | |
n13133613 329 ear | |
n11879895 330 rapeseed | |
n12144580 331 corn | |
n12768682 332 buckeye | |
n03854065 333 organ | |
n04515003 334 upright | |
n03017168 335 chime | |
n03249569 336 drum | |
n03447721 337 gong | |
n03720891 338 maraca | |
n03721384 339 marimba | |
n04311174 340 steel_drum | |
n02787622 341 banjo | |
n02992211 342 cello | |
n04536866 343 violin | |
n03495258 344 harp | |
n02676566 345 acoustic_guitar | |
n03272010 346 electric_guitar | |
n03110669 347 cornet | |
n03394916 348 French_horn | |
n04487394 349 trombone | |
n03494278 350 harmonica | |
n03840681 351 ocarina | |
n03884397 352 panpipe | |
n02804610 353 bassoon | |
n03838899 354 oboe | |
n04141076 355 sax | |
n03372029 356 flute | |
n11939491 357 daisy | |
n12057211 358 yellow_lady's_slipper | |
n09246464 359 cliff | |
n09468604 360 valley | |
n09193705 361 alp | |
n09472597 362 volcano | |
n09399592 363 promontory | |
n09421951 364 sandbar | |
n09256479 365 coral_reef | |
n09332890 366 lakeside | |
n09428293 367 seashore | |
n09288635 368 geyser | |
n03498962 369 hatchet | |
n03041632 370 cleaver | |
n03658185 371 letter_opener | |
n03954731 372 plane | |
n03995372 373 power_drill | |
n03649909 374 lawn_mower | |
n03481172 375 hammer | |
n03109150 376 corkscrew | |
n02951585 377 can_opener | |
n03970156 378 plunger | |
n04154565 379 screwdriver | |
n04208210 380 shovel | |
n03967562 381 plow | |
n03000684 382 chain_saw | |
n01514668 383 cock | |
n01514859 384 hen | |
n01518878 385 ostrich | |
n01530575 386 brambling | |
n01531178 387 goldfinch | |
n01532829 388 house_finch | |
n01534433 389 junco | |
n01537544 390 indigo_bunting | |
n01558993 391 robin | |
n01560419 392 bulbul | |
n01580077 393 jay | |
n01582220 394 magpie | |
n01592084 395 chickadee | |
n01601694 396 water_ouzel | |
n01608432 397 kite | |
n01614925 398 bald_eagle | |
n01616318 399 vulture | |
n01622779 400 great_grey_owl | |
n01795545 401 black_grouse | |
n01796340 402 ptarmigan | |
n01797886 403 ruffed_grouse | |
n01798484 404 prairie_chicken | |
n01806143 405 peacock | |
n01806567 406 quail | |
n01807496 407 partridge | |
n01817953 408 African_grey | |
n01818515 409 macaw | |
n01819313 410 sulphur-crested_cockatoo | |
n01820546 411 lorikeet | |
n01824575 412 coucal | |
n01828970 413 bee_eater | |
n01829413 414 hornbill | |
n01833805 415 hummingbird | |
n01843065 416 jacamar | |
n01843383 417 toucan | |
n01847000 418 drake | |
n01855032 419 red-breasted_merganser | |
n01855672 420 goose | |
n01860187 421 black_swan | |
n02002556 422 white_stork | |
n02002724 423 black_stork | |
n02006656 424 spoonbill | |
n02007558 425 flamingo | |
n02009912 426 American_egret | |
n02009229 427 little_blue_heron | |
n02011460 428 bittern | |
n02012849 429 crane | |
n02013706 430 limpkin | |
n02018207 431 American_coot | |
n02018795 432 bustard | |
n02025239 433 ruddy_turnstone | |
n02027492 434 red-backed_sandpiper | |
n02028035 435 redshank | |
n02033041 436 dowitcher | |
n02037110 437 oystercatcher | |
n02017213 438 European_gallinule | |
n02051845 439 pelican | |
n02056570 440 king_penguin | |
n02058221 441 albatross | |
n01484850 442 great_white_shark | |
n01491361 443 tiger_shark | |
n01494475 444 hammerhead | |
n01496331 445 electric_ray | |
n01498041 446 stingray | |
n02514041 447 barracouta | |
n02536864 448 coho | |
n01440764 449 tench | |
n01443537 450 goldfish | |
n02526121 451 eel | |
n02606052 452 rock_beauty | |
n02607072 453 anemone_fish | |
n02643566 454 lionfish | |
n02655020 455 puffer | |
n02640242 456 sturgeon | |
n02641379 457 gar | |
n01664065 458 loggerhead | |
n01665541 459 leatherback_turtle | |
n01667114 460 mud_turtle | |
n01667778 461 terrapin | |
n01669191 462 box_turtle | |
n01675722 463 banded_gecko | |
n01677366 464 common_iguana | |
n01682714 465 American_chameleon | |
n01685808 466 whiptail | |
n01687978 467 agama | |
n01688243 468 frilled_lizard | |
n01689811 469 alligator_lizard | |
n01692333 470 Gila_monster | |
n01693334 471 green_lizard | |
n01694178 472 African_chameleon | |
n01695060 473 Komodo_dragon | |
n01704323 474 triceratops | |
n01697457 475 African_crocodile | |
n01698640 476 American_alligator | |
n01728572 477 thunder_snake | |
n01728920 478 ringneck_snake | |
n01729322 479 hognose_snake | |
n01729977 480 green_snake | |
n01734418 481 king_snake | |
n01735189 482 garter_snake | |
n01737021 483 water_snake | |
n01739381 484 vine_snake | |
n01740131 485 night_snake | |
n01742172 486 boa_constrictor | |
n01744401 487 rock_python | |
n01748264 488 Indian_cobra | |
n01749939 489 green_mamba | |
n01751748 490 sea_snake | |
n01753488 491 horned_viper | |
n01755581 492 diamondback | |
n01756291 493 sidewinder | |
n01629819 494 European_fire_salamander | |
n01630670 495 common_newt | |
n01631663 496 eft | |
n01632458 497 spotted_salamander | |
n01632777 498 axolotl | |
n01641577 499 bullfrog | |
n01644373 500 tree_frog | |
n01644900 501 tailed_frog | |
n04579432 502 whistle | |
n04592741 503 wing | |
n03876231 504 paintbrush | |
n03483316 505 hand_blower | |
n03868863 506 oxygen_mask | |
n04251144 507 snorkel | |
n03691459 508 loudspeaker | |
n03759954 509 microphone | |
n04152593 510 screen | |
n03793489 511 mouse | |
n03271574 512 electric_fan | |
n03843555 513 oil_filter | |
n04332243 514 strainer | |
n04265275 515 space_heater | |
n04330267 516 stove | |
n03467068 517 guillotine | |
n02794156 518 barometer | |
n04118776 519 rule | |
n03841143 520 odometer | |
n04141975 521 scale | |
n02708093 522 analog_clock | |
n03196217 523 digital_clock | |
n04548280 524 wall_clock | |
n03544143 525 hourglass | |
n04355338 526 sundial | |
n03891332 527 parking_meter | |
n04328186 528 stopwatch | |
n03197337 529 digital_watch | |
n04317175 530 stethoscope | |
n04376876 531 syringe | |
n03706229 532 magnetic_compass | |
n02841315 533 binoculars | |
n04009552 534 projector | |
n04356056 535 sunglasses | |
n03692522 536 loupe | |
n04044716 537 radio_telescope | |
n02879718 538 bow | |
n02950826 539 cannon | |
n02749479 540 assault_rifle | |
n04090263 541 rifle | |
n04008634 542 projectile | |
n03085013 543 computer_keyboard | |
n04505470 544 typewriter_keyboard | |
n03126707 545 crane | |
n03666591 546 lighter | |
n02666196 547 abacus | |
n02977058 548 cash_machine | |
n04238763 549 slide_rule | |
n03180011 550 desktop_computer | |
n03485407 551 hand-held_computer | |
n03832673 552 notebook | |
n06359193 553 web_site | |
n03496892 554 harvester | |
n04428191 555 thresher | |
n04004767 556 printer | |
n04243546 557 slot | |
n04525305 558 vending_machine | |
n04179913 559 sewing_machine | |
n03602883 560 joystick | |
n04372370 561 switch | |
n03532672 562 hook | |
n02974003 563 car_wheel | |
n03874293 564 paddlewheel | |
n03944341 565 pinwheel | |
n03992509 566 potter's_wheel | |
n03425413 567 gas_pump | |
n02966193 568 carousel | |
n04371774 569 swing | |
n04067472 570 reel | |
n04040759 571 radiator | |
n04019541 572 puck | |
n03492542 573 hard_disc | |
n04355933 574 sunglass | |
n03929660 575 pick | |
n02965783 576 car_mirror | |
n04258138 577 solar_dish | |
n04074963 578 remote_control | |
n03208938 579 disk_brake | |
n02910353 580 buckle | |
n03476684 581 hair_slide | |
n03627232 582 knot | |
n03075370 583 combination_lock | |
n03874599 584 padlock | |
n03804744 585 nail | |
n04127249 586 safety_pin | |
n04153751 587 screw | |
n03803284 588 muzzle | |
n04162706 589 seat_belt | |
n04228054 590 ski | |
n02948072 591 candle | |
n03590841 592 jack-o'-lantern | |
n04286575 593 spotlight | |
n04456115 594 torch | |
n03814639 595 neck_brace | |
n03933933 596 pier | |
n04485082 597 tripod | |
n03733131 598 maypole | |
n03794056 599 mousetrap | |
n04275548 600 spider_web | |
n01768244 601 trilobite | |
n01770081 602 harvestman | |
n01770393 603 scorpion | |
n01773157 604 black_and_gold_garden_spider | |
n01773549 605 barn_spider | |
n01773797 606 garden_spider | |
n01774384 607 black_widow | |
n01774750 608 tarantula | |
n01775062 609 wolf_spider | |
n01776313 610 tick | |
n01784675 611 centipede | |
n01990800 612 isopod | |
n01978287 613 Dungeness_crab | |
n01978455 614 rock_crab | |
n01980166 615 fiddler_crab | |
n01981276 616 king_crab | |
n01983481 617 American_lobster | |
n01984695 618 spiny_lobster | |
n01985128 619 crayfish | |
n01986214 620 hermit_crab | |
n02165105 621 tiger_beetle | |
n02165456 622 ladybug | |
n02167151 623 ground_beetle | |
n02168699 624 long-horned_beetle | |
n02169497 625 leaf_beetle | |
n02172182 626 dung_beetle | |
n02174001 627 rhinoceros_beetle | |
n02177972 628 weevil | |
n02190166 629 fly | |
n02206856 630 bee | |
n02226429 631 grasshopper | |
n02229544 632 cricket | |
n02231487 633 walking_stick | |
n02233338 634 cockroach | |
n02236044 635 mantis | |
n02256656 636 cicada | |
n02259212 637 leafhopper | |
n02264363 638 lacewing | |
n02268443 639 dragonfly | |
n02268853 640 damselfly | |
n02276258 641 admiral | |
n02277742 642 ringlet | |
n02279972 643 monarch | |
n02280649 644 cabbage_butterfly | |
n02281406 645 sulphur_butterfly | |
n02281787 646 lycaenid | |
n01910747 647 jellyfish | |
n01914609 648 sea_anemone | |
n01917289 649 brain_coral | |
n01924916 650 flatworm | |
n01930112 651 nematode | |
n01943899 652 conch | |
n01944390 653 snail | |
n01945685 654 slug | |
n01950731 655 sea_slug | |
n01955084 656 chiton | |
n02319095 657 sea_urchin | |
n02321529 658 sea_cucumber | |
n03584829 659 iron | |
n03297495 660 espresso_maker | |
n03761084 661 microwave | |
n03259280 662 Dutch_oven | |
n04111531 663 rotisserie | |
n04442312 664 toaster | |
n04542943 665 waffle_iron | |
n04517823 666 vacuum | |
n03207941 667 dishwasher | |
n04070727 668 refrigerator | |
n04554684 669 washer | |
n03133878 670 Crock_Pot | |
n03400231 671 frying_pan | |
n04596742 672 wok | |
n02939185 673 caldron | |
n03063689 674 coffeepot | |
n04398044 675 teapot | |
n04270147 676 spatula | |
n02699494 677 altar | |
n04486054 678 triumphal_arch | |
n03899768 679 patio | |
n04311004 680 steel_arch_bridge | |
n04366367 681 suspension_bridge | |
n04532670 682 viaduct | |
n02793495 683 barn | |
n03457902 684 greenhouse | |
n03877845 685 palace | |
n03781244 686 monastery | |
n03661043 687 library | |
n02727426 688 apiary | |
n02859443 689 boathouse | |
n03028079 690 church | |
n03788195 691 mosque | |
n04346328 692 stupa | |
n03956157 693 planetarium | |
n04081281 694 restaurant | |
n03032252 695 cinema | |
n03529860 696 home_theater | |
n03697007 697 lumbermill | |
n03065424 698 coil | |
n03837869 699 obelisk | |
n04458633 700 totem_pole | |
n02980441 701 castle | |
n04005630 702 prison | |
n03461385 703 grocery_store | |
n02776631 704 bakery | |
n02791270 705 barbershop | |
n02871525 706 bookshop | |
n02927161 707 butcher_shop | |
n03089624 708 confectionery | |
n04200800 709 shoe_shop | |
n04443257 710 tobacco_shop | |
n04462240 711 toyshop | |
n03388043 712 fountain | |
n03042490 713 cliff_dwelling | |
n04613696 714 yurt | |
n03216828 715 dock | |
n02892201 716 brass | |
n03743016 717 megalith | |
n02788148 718 bannister | |
n02894605 719 breakwater | |
n03160309 720 dam | |
n03000134 721 chainlink_fence | |
n03930313 722 picket_fence | |
n04604644 723 worm_fence | |
n04326547 724 stone_wall | |
n03459775 725 grille | |
n04239074 726 sliding_door | |
n04501370 727 turnstile | |
n03792972 728 mountain_tent | |
n04149813 729 scoreboard | |
n03530642 730 honeycomb | |
n03961711 731 plate_rack | |
n03903868 732 pedestal | |
n02814860 733 beacon | |
n07711569 734 mashed_potato | |
n07720875 735 bell_pepper | |
n07714571 736 head_cabbage | |
n07714990 737 broccoli | |
n07715103 738 cauliflower | |
n07716358 739 zucchini | |
n07716906 740 spaghetti_squash | |
n07717410 741 acorn_squash | |
n07717556 742 butternut_squash | |
n07718472 743 cucumber | |
n07718747 744 artichoke | |
n07730033 745 cardoon | |
n07734744 746 mushroom | |
n04209239 747 shower_curtain | |
n03594734 748 jean | |
n02971356 749 carton | |
n03485794 750 handkerchief | |
n04133789 751 sandal | |
n02747177 752 ashcan | |
n04125021 753 safe | |
n07579787 754 plate | |
n03814906 755 necklace | |
n03134739 756 croquet_ball | |
n03404251 757 fur_coat | |
n04423845 758 thimble | |
n03877472 759 pajama | |
n04120489 760 running_shoe | |
n03062245 761 cocktail_shaker | |
n03014705 762 chest | |
n03717622 763 manhole_cover | |
n03777754 764 modem | |
n04493381 765 tub | |
n04476259 766 tray | |
n02777292 767 balance_beam | |
n07693725 768 bagel | |
n03998194 769 prayer_rug | |
n03617480 770 kimono | |
n07590611 771 hot_pot | |
n04579145 772 whiskey_jug | |
n03623198 773 knee_pad | |
n07248320 774 book_jacket | |
n04277352 775 spindle | |
n04229816 776 ski_mask | |
n02823428 777 beer_bottle | |
n03127747 778 crash_helmet | |
n02877765 779 bottlecap | |
n04435653 780 tile_roof | |
n03724870 781 mask | |
n03710637 782 maillot | |
n03920288 783 Petri_dish | |
n03379051 784 football_helmet | |
n02807133 785 bathing_cap | |
n04399382 786 teddy | |
n03527444 787 holster | |
n03983396 788 pop_bottle | |
n03924679 789 photocopier | |
n04532106 790 vestment | |
n06785654 791 crossword_puzzle | |
n03445777 792 golf_ball | |
n07613480 793 trifle | |
n04350905 794 suit | |
n04562935 795 water_tower | |
n03325584 796 feather_boa | |
n03045698 797 cloak | |
n07892512 798 red_wine | |
n03250847 799 drumstick | |
n04192698 800 shield | |
n03026506 801 Christmas_stocking | |
n03534580 802 hoopskirt | |
n07565083 803 menu | |
n04296562 804 stage | |
n02869837 805 bonnet | |
n07871810 806 meat_loaf | |
n02799071 807 baseball | |
n03314780 808 face_powder | |
n04141327 809 scabbard | |
n04357314 810 sunscreen | |
n02823750 811 beer_glass | |
n13052670 812 hen-of-the-woods | |
n07583066 813 guacamole | |
n03637318 814 lampshade | |
n04599235 815 wool | |
n07802026 816 hay | |
n02883205 817 bow_tie | |
n03709823 818 mailbag | |
n04560804 819 water_jug | |
n02909870 820 bucket | |
n03207743 821 dishrag | |
n04263257 822 soup_bowl | |
n07932039 823 eggnog | |
n03786901 824 mortar | |
n04479046 825 trench_coat | |
n03873416 826 paddle | |
n02999410 827 chain | |
n04367480 828 swab | |
n03775546 829 mixing_bowl | |
n07875152 830 potpie | |
n04591713 831 wine_bottle | |
n04201297 832 shoji | |
n02916936 833 bulletproof_vest | |
n03240683 834 drilling_platform | |
n02840245 835 binder | |
n02963159 836 cardigan | |
n04370456 837 sweatshirt | |
n03991062 838 pot | |
n02843684 839 birdhouse | |
n03482405 840 hamper | |
n03942813 841 ping-pong_ball | |
n03908618 842 pencil_box | |
n03902125 843 pay-phone | |
n07584110 844 consomme | |
n02730930 845 apron | |
n04023962 846 punching_bag | |
n02769748 847 backpack | |
n10148035 848 groom | |
n02817516 849 bearskin | |
n03908714 850 pencil_sharpener | |
n02906734 851 broom | |
n03788365 852 mosquito_net | |
n02667093 853 abaya | |
n03787032 854 mortarboard | |
n03980874 855 poncho | |
n03141823 856 crutch | |
n03976467 857 Polaroid_camera | |
n04264628 858 space_bar | |
n07930864 859 cup | |
n04039381 860 racket | |
n06874185 861 traffic_light | |
n04033901 862 quill | |
n04041544 863 radio | |
n07860988 864 dough | |
n03146219 865 cuirass | |
n03763968 866 military_uniform | |
n03676483 867 lipstick | |
n04209133 868 shower_cap | |
n03782006 869 monitor | |
n03857828 870 oscilloscope | |
n03775071 871 mitten | |
n02892767 872 brassiere | |
n07684084 873 French_loaf | |
n04522168 874 vase | |
n03764736 875 milk_can | |
n04118538 876 rugby_ball | |
n03887697 877 paper_towel | |
n13044778 878 earthstar | |
n03291819 879 envelope | |
n03770439 880 miniskirt | |
n03124170 881 cowboy_hat | |
n04487081 882 trolleybus | |
n03916031 883 perfume | |
n02808440 884 bathtub | |
n07697537 885 hotdog | |
n12985857 886 coral_fungus | |
n02917067 887 bullet_train | |
n03938244 888 pillow | |
n15075141 889 toilet_tissue | |
n02978881 890 cassette | |
n02966687 891 carpenter's_kit | |
n03633091 892 ladle | |
n13040303 893 stinkhorn | |
n03690938 894 lotion | |
n03476991 895 hair_spray | |
n02669723 896 academic_gown | |
n03220513 897 dome | |
n03127925 898 crate | |
n04584207 899 wig | |
n07880968 900 burrito | |
n03937543 901 pill_bottle | |
n03000247 902 chain_mail | |
n04418357 903 theater_curtain | |
n04590129 904 window_shade | |
n02795169 905 barrel | |
n04553703 906 washbasin | |
n02783161 907 ballpoint | |
n02802426 908 basketball | |
n02808304 909 bath_towel | |
n03124043 910 cowboy_boot | |
n03450230 911 gown | |
n04589890 912 window_screen | |
n12998815 913 agaric | |
n02992529 914 cellular_telephone | |
n03825788 915 nipple | |
n02790996 916 barbell | |
n03710193 917 mailbox | |
n03630383 918 lab_coat | |
n03347037 919 fire_screen | |
n03769881 920 minibus | |
n03871628 921 packet | |
n03733281 922 maze | |
n03976657 923 pole | |
n03535780 924 horizontal_bar | |
n04259630 925 sombrero | |
n03929855 926 pickelhaube | |
n04049303 927 rain_barrel | |
n04548362 928 wallet | |
n02979186 929 cassette_player | |
n06596364 930 comic_book | |
n03935335 931 piggy_bank | |
n06794110 932 street_sign | |
n02825657 933 bell_cote | |
n03388183 934 fountain_pen | |
n04591157 935 Windsor_tie | |
n04540053 936 volleyball | |
n03866082 937 overskirt | |
n04136333 938 sarong | |
n04026417 939 purse | |
n02865351 940 bolo_tie | |
n02834397 941 bib | |
n03888257 942 parachute | |
n04235860 943 sleeping_bag | |
n04404412 944 television | |
n04371430 945 swimming_trunks | |
n03733805 946 measuring_cup | |
n07920052 947 espresso | |
n07873807 948 pizza | |
n02895154 949 breastplate | |
n04204238 950 shopping_basket | |
n04597913 951 wooden_spoon | |
n04131690 952 saltshaker | |
n07836838 953 chocolate_sauce | |
n09835506 954 ballplayer | |
n03443371 955 goblet | |
n13037406 956 gyromitra | |
n04336792 957 stretcher | |
n04557648 958 water_bottle | |
n03187595 959 dial_telephone | |
n04254120 960 soap_dispenser | |
n03595614 961 jersey | |
n04146614 962 school_bus | |
n03598930 963 jigsaw_puzzle | |
n03958227 964 plastic_bag | |
n04069434 965 reflex_camera | |
n03188531 966 diaper | |
n02786058 967 Band_Aid | |
n07615774 968 ice_lolly | |
n04525038 969 velvet | |
n04409515 970 tennis_ball | |
n03424325 971 gasmask | |
n03223299 972 doormat | |
n03680355 973 Loafer | |
n07614500 974 ice_cream | |
n07695742 975 pretzel | |
n04033995 976 quilt | |
n03710721 977 maillot | |
n04392985 978 tape_player | |
n03047690 979 clog | |
n03584254 980 iPod | |
n13054560 981 bolete | |
n10565667 982 scuba_diver | |
n03950228 983 pitcher | |
n03729826 984 matchstick | |
n02837789 985 bikini | |
n04254777 986 sock | |
n02988304 987 CD_player | |
n03657121 988 lens_cap | |
n04417672 989 thatch | |
n04523525 990 vault | |
n02815834 991 beaker | |
n09229709 992 bubble | |
n07697313 993 cheeseburger | |
n03888605 994 parallel_bars | |
n03355925 995 flagpole | |
n03063599 996 coffee_mug | |
n04116512 997 rubber_eraser | |
n04325704 998 stole | |
n07831146 999 carbonara | |
n03255030 1000 dumbbell |
crane
One is the animal and the other is a "construction" crane. So don't use the names as labels... just keep the synsets and convert to names for display purposes.
crane
One is the animal and the other is a "construction" crane. So don't use the names as labels... just keep the synsets and convert to names for display purposes.
I noticed that in training set of Imagenet, they did a lot of mistakes in annotations for these two crane classes, a clear error in ImageNet
Super!Thanks!
Thanks a lot!!! really appreciate it!
Please be aware this mapping might not be correct. The labels here DO NOT correspond to the output indices of a network such as VGG. The labels should be in sort order of the wordnet ids. Ref: https://github.com/keras-team/keras-applications/blob/master/keras_applications/imagenet_utils.py
Thanks. This looks like the json containing imagenet class id to folder and human-readable class name mapping: https://github.com/raghakot/keras-vis/blob/master/resources/imagenet_class_index.json
❗️NOTE: IT NOT USES THE ORIGINAL INDEX ID
Is there any way to download some specific images from a class of IMAGENET ? without downloading the whole dataset
Thank you for sharing!! Just wondering if you guys find out the mapping of the data set for sedan?