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text: imagenet 1000 class idx to human readable labels (Fox, E., & Guestrin, C. (n.d.). Coursera Machine Learning Specialization.)
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| {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'} |
Very helpful thanks!
Just FYI, this package set up the python dict for you https://github.com/nottombrown/imagenet-stubs
import imagenet_stubs
from imagenet_stubs.imagenet_2012_labels import label_to_name
print(label_to_name(0))
# tench, Tinca tinca
Very helpful thanks!
Just FYI, this package set up the python dict for you https://github.com/nottombrown/imagenet-stubsimport imagenet_stubs from imagenet_stubs.imagenet_2012_labels import label_to_name print(label_to_name(0)) # tench, Tinca tinca
good to know bro
Thanks for your kind comments, I'm glad it helped you!
If you're using tensorflow, I recently noticed there now exists a more handy way to get the imagenet labels for a class.
A snippet from this TF document:
labels_path = tf.keras.utils.get_file(
'ImageNetLabels.txt','https://storage.googleapis.com/download.tensorflow.org/data/ImageNetLabels.txt')
imagenet_labels = np.array(open(labels_path).read().splitlines())
predicted_class_name = imagenet_labels[predicted_class]```
In case it's helpful to anyone, I manually created "simplified" ImageNet labels that might be better for certain use cases: https://github.com/anishathalye/imagenet-simple-labels. Some comparisons:
| ID | ImageNet | Keras | Simple |
|---|---|---|---|
| 87 | African grey, African gray, Psittacus erithacus | African_grey | grey parrot |
| 97 | drake | drake | duck |
| 134 | crane | crane | crane (bird) |
| 156 | Blenheim spaniel | Blenheim_spaniel | King Charles Spaniel |
| 383 | Madagascar cat, ring-tailed lemur, Lemur catta | Madagascar_cat | ring-tailed lemur |
| 439 | bearskin, busby, shako | bearskin | military cap |
| 517 | crane | crane | crane (machine) |
| 628 | liner, ocean liner | liner | ocean liner |
| 667 | mortarboard | mortarboard | square academic cap |
| 699 | panpipe, pandean pipe, syrinx | panpipe | pan flute |
| 913 | wreck | wreck | shipwreck |
| 930 | French loaf | French_loaf | baguette |
Among other things, this solves the "crane vs crane" problem mentioned above.
Very helpful, Thanks
Very useful - Thanks!
does anyone convert the 1000 fine labels to coarse labels? such as convert all dogs label to a single one? In some case, the coarse labels will be usefull to reduce the model size.
I've created a set of coarse labels for my own work, which I created by hand. Feel free to take a look at https://github.com/noameshed/novelty-detection/blob/master/imagenet_categories.csv
Excuse the messy repo - I'm in the process of reorganizing :)Yes, That's exactly what I mean. Great appreciation!
Thanks a lot, I was just searching for that
Download DevKit along with Imagenet Data and load meta.mat file to get list of synsets.
import scipy.io
mat = scipy.io.loadmat("meta.mat")
print(mat["synsets"])
print(mat["synsets"][0])
n03710637 maillot
n03710721 maillot, tank suit
these two are the same swimming suit
thank you
thanks a lot
It's the mapping for "ILSVRC2012"?
If so, there may be the error. E.g. the first image in "ILSVRC2012_img_val" is labeled as "490" (ref to ILSVRC2012_devkit_t12/data/ILSVRC2012_validation_ground_truth.txt)
According to your gist, No.490 represents "chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour". It's wrong obviously.
Furthermore, check file ILSVRC2012_devkit_t12/data/meta.mat to get the ground-truth in this image. The representation is "'horned viper, cerastes, sand viper, horned asp, Cerastes cornutus'", and it's No.66 in your gist.
import scipy.io as scio
path = r'~\ILSVRC2012\ILSVRC2012_devkit_t12\data\meta.mat'
data=scio.loadmat(path)
res = data['synsets'][490]
print(res)[(array([[491]], dtype=uint16), array(['n01753488'], dtype='<U9'), array(['horned viper, cerastes, sand viper, horned asp, Cerastes cornutus'],
dtype='<U65'), array(['highly venomous viper of northern Africa and southwestern Asia having a horny spine above each eye'],
dtype='<U98'), array([[0]], dtype=uint8), array([], shape=(1, 0), dtype=uint8), array([[0]], dtype=uint8), array([[1300]], dtype=uint16))]
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its so so so trickyyyy