add config

config.json

@@ -28,2009 +28,80 @@
     256
   ],
   "id2label": {
-    "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"
+    "0": "unlabeled",
+    "1": "flat-road",
+    "2": "flat-sidewalk",
+    "3": "flat-crosswalk",
+    "4": "flat-cyclinglane",
+    "5": "flat-parkingdriveway",
+    "6": "flat-railtrack",
+    "7": "flat-curb",
+    "8": "human-person",
+    "9": "human-rider",
+    "10": "vehicle-car",
+    "11": "vehicle-truck",
+    "12": "vehicle-bus",
+    "13": "vehicle-tramtrain",
+    "14": "vehicle-motorcycle",
+    "15": "vehicle-bicycle",
+    "16": "vehicle-caravan",
+    "17": "vehicle-cartrailer",
+    "18": "construction-building",
+    "19": "construction-door",
+    "20": "construction-wall",
+    "21": "construction-fenceguardrail",
+    "22": "construction-bridge",
+    "23": "construction-tunnel",
+    "24": "construction-stairs",
+    "25": "object-pole",
+    "26": "object-trafficsign",
+    "27": "object-trafficlight",
+    "28": "nature-vegetation",
+    "29": "nature-terrain",
+    "30": "sky",
+    "31": "void-ground",
+    "32": "void-dynamic",
+    "33": "void-static",
+    "34": "void-unclear"
   },
   "image_size": 224,
   "initializer_range": 0.02,
   "label2id": {
-    "Afghan hound, Afghan": 160,
-    "African chameleon, Chamaeleo chamaeleon": 47,
-    "African crocodile, Nile crocodile, Crocodylus niloticus": 49,
-    "African elephant, Loxodonta africana": 386,
-    "African grey, African gray, Psittacus erithacus": 87,
-    "African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus": 275,
-    "Airedale, Airedale terrier": 191,
-    "American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier": 180,
-    "American alligator, Alligator mississipiensis": 50,
-    "American black bear, black bear, Ursus americanus, Euarctos americanus": 295,
-    "American chameleon, anole, Anolis carolinensis": 40,
-    "American coot, marsh hen, mud hen, water hen, Fulica americana": 137,
-    "American egret, great white heron, Egretta albus": 132,
-    "American lobster, Northern lobster, Maine lobster, Homarus americanus": 122,
-    "Angora, Angora rabbit": 332,
-    "Appenzeller": 240,
-    "Arabian camel, dromedary, Camelus dromedarius": 354,
-    "Arctic fox, white fox, Alopex lagopus": 279,
-    "Australian terrier": 193,
-    "Band Aid": 419,
-    "Bedlington terrier": 181,
-    "Bernese mountain dog": 239,
-    "Blenheim spaniel": 156,
-    "Border collie": 232,
-    "Border terrier": 182,
-    "Boston bull, Boston terrier": 195,
-    "Bouvier des Flandres, Bouviers des Flandres": 233,
-    "Brabancon griffon": 262,
-    "Brittany spaniel": 215,
-    "CD player": 485,
-    "Cardigan, Cardigan Welsh corgi": 264,
-    "Chesapeake Bay retriever": 209,
-    "Chihuahua": 151,
-    "Christmas stocking": 496,
-    "Crock Pot": 521,
-    "Dandie Dinmont, Dandie Dinmont terrier": 194,
-    "Doberman, Doberman pinscher": 236,
-    "Dungeness crab, Cancer magister": 118,
-    "Dutch oven": 544,
-    "Egyptian cat": 285,
-    "English foxhound": 167,
-    "English setter": 212,
-    "English springer, English springer spaniel": 217,
-    "EntleBucher": 241,
-    "Eskimo dog, husky": 248,
-    "European fire salamander, Salamandra salamandra": 25,
-    "European gallinule, Porphyrio porphyrio": 136,
-    "French bulldog": 245,
-    "French horn, horn": 566,
-    "French loaf": 930,
-    "German shepherd, German shepherd dog, German police dog, alsatian": 235,
-    "German short-haired pointer": 210,
-    "Gila monster, Heloderma suspectum": 45,
-    "Gordon setter": 214,
-    "Granny Smith": 948,
-    "Great Dane": 246,
-    "Great Pyrenees": 257,
-    "Greater Swiss Mountain dog": 238,
-    "Ibizan hound, Ibizan Podenco": 173,
-    "Indian cobra, Naja naja": 63,
-    "Indian elephant, Elephas maximus": 385,
-    "Irish setter, red setter": 213,
-    "Irish terrier": 184,
-    "Irish water spaniel": 221,
-    "Irish wolfhound": 170,
-    "Italian greyhound": 171,
-    "Japanese spaniel": 152,
-    "Kerry blue terrier": 183,
-    "Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis": 48,
-    "Labrador retriever": 208,
-    "Lakeland terrier": 189,
-    "Leonberg": 255,
-    "Lhasa, Lhasa apso": 204,
-    "Loafer": 630,
-    "Madagascar cat, ring-tailed lemur, Lemur catta": 383,
-    "Maltese dog, Maltese terrier, Maltese": 153,
-    "Mexican hairless": 268,
-    "Model T": 661,
-    "Newfoundland, Newfoundland dog": 256,
-    "Norfolk terrier": 185,
-    "Norwegian elkhound, elkhound": 174,
-    "Norwich terrier": 186,
-    "Old English sheepdog, bobtail": 229,
-    "Pekinese, Pekingese, Peke": 154,
-    "Pembroke, Pembroke Welsh corgi": 263,
-    "Persian cat": 283,
-    "Petri dish": 712,
-    "Polaroid camera, Polaroid Land camera": 732,
-    "Pomeranian": 259,
-    "Rhodesian ridgeback": 159,
-    "Rottweiler": 234,
-    "Saint Bernard, St Bernard": 247,
-    "Saluki, gazelle hound": 176,
-    "Samoyed, Samoyede": 258,
-    "Scotch terrier, Scottish terrier, Scottie": 199,
-    "Scottish deerhound, deerhound": 177,
-    "Sealyham terrier, Sealyham": 190,
-    "Shetland sheepdog, Shetland sheep dog, Shetland": 230,
-    "Shih-Tzu": 155,
-    "Siamese cat, Siamese": 284,
-    "Siberian husky": 250,
-    "Staffordshire bullterrier, Staffordshire bull terrier": 179,
-    "Sussex spaniel": 220,
-    "Tibetan mastiff": 244,
-    "Tibetan terrier, chrysanthemum dog": 200,
-    "Walker hound, Walker foxhound": 166,
-    "Weimaraner": 178,
-    "Welsh springer spaniel": 218,
-    "West Highland white terrier": 203,
-    "Windsor tie": 906,
-    "Yorkshire terrier": 187,
-    "abacus": 398,
-    "abaya": 399,
-    "academic gown, academic robe, judge's robe": 400,
-    "accordion, piano accordion, squeeze box": 401,
-    "acorn": 988,
-    "acorn squash": 941,
-    "acoustic guitar": 402,
-    "admiral": 321,
-    "affenpinscher, monkey pinscher, monkey dog": 252,
-    "agama": 42,
-    "agaric": 992,
-    "aircraft carrier, carrier, flattop, attack aircraft carrier": 403,
-    "airliner": 404,
-    "airship, dirigible": 405,
-    "albatross, mollymawk": 146,
-    "alligator lizard": 44,
-    "alp": 970,
-    "altar": 406,
-    "ambulance": 407,
-    "amphibian, amphibious vehicle": 408,
-    "analog clock": 409,
-    "anemone fish": 393,
-    "ant, emmet, pismire": 310,
-    "apiary, bee house": 410,
-    "apron": 411,
-    "armadillo": 363,
-    "artichoke, globe artichoke": 944,
-    "ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin": 412,
-    "assault rifle, assault gun": 413,
-    "axolotl, mud puppy, Ambystoma mexicanum": 29,
-    "baboon": 372,
-    "backpack, back pack, knapsack, packsack, rucksack, haversack": 414,
-    "badger": 362,
-    "bagel, beigel": 931,
-    "bakery, bakeshop, bakehouse": 415,
-    "balance beam, beam": 416,
-    "bald eagle, American eagle, Haliaeetus leucocephalus": 22,
-    "balloon": 417,
-    "ballplayer, baseball player": 981,
-    "ballpoint, ballpoint pen, ballpen, Biro": 418,
-    "banana": 954,
-    "banded gecko": 38,
-    "banjo": 420,
-    "bannister, banister, balustrade, balusters, handrail": 421,
-    "barbell": 422,
-    "barber chair": 423,
-    "barbershop": 424,
-    "barn": 425,
-    "barn spider, Araneus cavaticus": 73,
-    "barometer": 426,
-    "barracouta, snoek": 389,
-    "barrel, cask": 427,
-    "barrow, garden cart, lawn cart, wheelbarrow": 428,
-    "baseball": 429,
-    "basenji": 253,
-    "basketball": 430,
-    "basset, basset hound": 161,
-    "bassinet": 431,
-    "bassoon": 432,
-    "bath towel": 434,
-    "bathing cap, swimming cap": 433,
-    "bathtub, bathing tub, bath, tub": 435,
-    "beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon": 436,
-    "beacon, lighthouse, beacon light, pharos": 437,
-    "beagle": 162,
-    "beaker": 438,
-    "bearskin, busby, shako": 439,
-    "beaver": 337,
-    "bee": 309,
-    "bee eater": 92,
-    "beer bottle": 440,
-    "beer glass": 441,
-    "bell cote, bell cot": 442,
-    "bell pepper": 945,
-    "bib": 443,
-    "bicycle-built-for-two, tandem bicycle, tandem": 444,
-    "bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis": 349,
-    "bikini, two-piece": 445,
-    "binder, ring-binder": 446,
-    "binoculars, field glasses, opera glasses": 447,
-    "birdhouse": 448,
-    "bison": 347,
-    "bittern": 133,
-    "black and gold garden spider, Argiope aurantia": 72,
-    "black grouse": 80,
-    "black stork, Ciconia nigra": 128,
-    "black swan, Cygnus atratus": 100,
-    "black widow, Latrodectus mactans": 75,
-    "black-and-tan coonhound": 165,
-    "black-footed ferret, ferret, Mustela nigripes": 359,
-    "bloodhound, sleuthhound": 163,
-    "bluetick": 164,
-    "boa constrictor, Constrictor constrictor": 61,
-    "boathouse": 449,
-    "bobsled, bobsleigh, bob": 450,
-    "bolete": 997,
-    "bolo tie, bolo, bola tie, bola": 451,
-    "bonnet, poke bonnet": 452,
-    "book jacket, dust cover, dust jacket, dust wrapper": 921,
-    "bookcase": 453,
-    "bookshop, bookstore, bookstall": 454,
-    "borzoi, Russian wolfhound": 169,
-    "bottlecap": 455,
-    "bow": 456,
-    "bow tie, bow-tie, bowtie": 457,
-    "box turtle, box tortoise": 37,
-    "boxer": 242,
-    "brain coral": 109,
-    "brambling, Fringilla montifringilla": 10,
-    "brass, memorial tablet, plaque": 458,
-    "brassiere, bra, bandeau": 459,
-    "breakwater, groin, groyne, mole, bulwark, seawall, jetty": 460,
-    "breastplate, aegis, egis": 461,
-    "briard": 226,
-    "broccoli": 937,
-    "broom": 462,
-    "brown bear, bruin, Ursus arctos": 294,
-    "bubble": 971,
-    "bucket, pail": 463,
-    "buckeye, horse chestnut, conker": 990,
-    "buckle": 464,
-    "bulbul": 16,
-    "bull mastiff": 243,
-    "bullet train, bullet": 466,
-    "bulletproof vest": 465,
-    "bullfrog, Rana catesbeiana": 30,
-    "burrito": 965,
-    "bustard": 138,
-    "butcher shop, meat market": 467,
-    "butternut squash": 942,
-    "cab, hack, taxi, taxicab": 468,
-    "cabbage butterfly": 324,
-    "cairn, cairn terrier": 192,
-    "caldron, cauldron": 469,
-    "can opener, tin opener": 473,
-    "candle, taper, wax light": 470,
-    "cannon": 471,
-    "canoe": 472,
-    "capuchin, ringtail, Cebus capucinus": 378,
-    "car mirror": 475,
-    "car wheel": 479,
-    "carbonara": 959,
-    "cardigan": 474,
-    "cardoon": 946,
-    "carousel, carrousel, merry-go-round, roundabout, whirligig": 476,
-    "carpenter's kit, tool kit": 477,
-    "carton": 478,
-    "cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM": 480,
-    "cassette": 481,
-    "cassette player": 482,
-    "castle": 483,
-    "catamaran": 484,
-    "cauliflower": 938,
-    "cello, violoncello": 486,
-    "cellular telephone, cellular phone, cellphone, cell, mobile phone": 487,
-    "centipede": 79,
-    "chain": 488,
-    "chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour": 490,
-    "chain saw, chainsaw": 491,
-    "chainlink fence": 489,
-    "chambered nautilus, pearly nautilus, nautilus": 117,
-    "cheeseburger": 933,
-    "cheetah, chetah, Acinonyx jubatus": 293,
-    "chest": 492,
-    "chickadee": 19,
-    "chiffonier, commode": 493,
-    "chime, bell, gong": 494,
-    "chimpanzee, chimp, Pan troglodytes": 367,
-    "china cabinet, china closet": 495,
-    "chiton, coat-of-mail shell, sea cradle, polyplacophore": 116,
-    "chocolate sauce, chocolate syrup": 960,
-    "chow, chow chow": 260,
-    "church, church building": 497,
-    "cicada, cicala": 316,
-    "cinema, movie theater, movie theatre, movie house, picture palace": 498,
-    "cleaver, meat cleaver, chopper": 499,
-    "cliff dwelling": 500,
-    "cliff, drop, drop-off": 972,
-    "cloak": 501,
-    "clog, geta, patten, sabot": 502,
-    "clumber, clumber spaniel": 216,
-    "cock": 7,
-    "cocker spaniel, English cocker spaniel, cocker": 219,
-    "cockroach, roach": 314,
-    "cocktail shaker": 503,
-    "coffee mug": 504,
-    "coffeepot": 505,
-    "coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch": 391,
-    "coil, spiral, volute, whorl, helix": 506,
-    "collie": 231,
-    "colobus, colobus monkey": 375,
-    "combination lock": 507,
-    "comic book": 917,
-    "common iguana, iguana, Iguana iguana": 39,
-    "common newt, Triturus vulgaris": 26,
-    "computer keyboard, keypad": 508,
-    "conch": 112,
-    "confectionery, confectionary, candy store": 509,
-    "consomme": 925,
-    "container ship, containership, container vessel": 510,
-    "convertible": 511,
-    "coral fungus": 991,
-    "coral reef": 973,
-    "corkscrew, bottle screw": 512,
-    "corn": 987,
-    "cornet, horn, trumpet, trump": 513,
-    "coucal": 91,
-    "cougar, puma, catamount, mountain lion, painter, panther, Felis concolor": 286,
-    "cowboy boot": 514,
-    "cowboy hat, ten-gallon hat": 515,
-    "coyote, prairie wolf, brush wolf, Canis latrans": 272,
-    "cradle": 516,
-    "crane": 517,
-    "crash helmet": 518,
-    "crate": 519,
-    "crayfish, crawfish, crawdad, crawdaddy": 124,
-    "crib, cot": 520,
-    "cricket": 312,
-    "croquet ball": 522,
-    "crossword puzzle, crossword": 918,
-    "crutch": 523,
-    "cucumber, cuke": 943,
-    "cuirass": 524,
-    "cup": 968,
-    "curly-coated retriever": 206,
-    "custard apple": 956,
-    "daisy": 985,
-    "dalmatian, coach dog, carriage dog": 251,
-    "dam, dike, dyke": 525,
-    "damselfly": 320,
-    "desk": 526,
-    "desktop computer": 527,
-    "dhole, Cuon alpinus": 274,
-    "dial telephone, dial phone": 528,
-    "diamondback, diamondback rattlesnake, Crotalus adamanteus": 67,
-    "diaper, nappy, napkin": 529,
-    "digital clock": 530,
-    "digital watch": 531,
-    "dingo, warrigal, warragal, Canis dingo": 273,
-    "dining table, board": 532,
-    "dishrag, dishcloth": 533,
-    "dishwasher, dish washer, dishwashing machine": 534,
-    "disk brake, disc brake": 535,
-    "dock, dockage, docking facility": 536,
-    "dogsled, dog sled, dog sleigh": 537,
-    "dome": 538,
-    "doormat, welcome mat": 539,
-    "dough": 961,
-    "dowitcher": 142,
-    "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk": 319,
-    "drake": 97,
-    "drilling platform, offshore rig": 540,
-    "drum, membranophone, tympan": 541,
-    "drumstick": 542,
-    "dugong, Dugong dugon": 149,
-    "dumbbell": 543,
-    "dung beetle": 305,
-    "ear, spike, capitulum": 998,
-    "earthstar": 995,
-    "echidna, spiny anteater, anteater": 102,
-    "eel": 390,
-    "eft": 27,
-    "eggnog": 969,
-    "electric fan, blower": 545,
-    "electric guitar": 546,
-    "electric locomotive": 547,
-    "electric ray, crampfish, numbfish, torpedo": 5,
-    "entertainment center": 548,
-    "envelope": 549,
-    "espresso": 967,
-    "espresso maker": 550,
-    "face powder": 551,
-    "feather boa, boa": 552,
-    "fiddler crab": 120,
-    "fig": 952,
-    "file, file cabinet, filing cabinet": 553,
-    "fire engine, fire truck": 555,
-    "fire screen, fireguard": 556,
-    "fireboat": 554,
-    "flagpole, flagstaff": 557,
-    "flamingo": 130,
-    "flat-coated retriever": 205,
-    "flatworm, platyhelminth": 110,
-    "flute, transverse flute": 558,
-    "fly": 308,
-    "folding chair": 559,
-    "football helmet": 560,
-    "forklift": 561,
-    "fountain": 562,
-    "fountain pen": 563,
-    "four-poster": 564,
-    "fox squirrel, eastern fox squirrel, Sciurus niger": 335,
-    "freight car": 565,
-    "frilled lizard, Chlamydosaurus kingi": 43,
-    "frying pan, frypan, skillet": 567,
-    "fur coat": 568,
-    "gar, garfish, garpike, billfish, Lepisosteus osseus": 395,
-    "garbage truck, dustcart": 569,
-    "garden spider, Aranea diademata": 74,
-    "garter snake, grass snake": 57,
-    "gas pump, gasoline pump, petrol pump, island dispenser": 571,
-    "gasmask, respirator, gas helmet": 570,
-    "gazelle": 353,
-    "geyser": 974,
-    "giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca": 388,
-    "giant schnauzer": 197,
-    "gibbon, Hylobates lar": 368,
-    "go-kart": 573,
-    "goblet": 572,
-    "golden retriever": 207,
-    "goldfinch, Carduelis carduelis": 11,
-    "goldfish, Carassius auratus": 1,
-    "golf ball": 574,
-    "golfcart, golf cart": 575,
-    "gondola": 576,
-    "gong, tam-tam": 577,
-    "goose": 99,
-    "gorilla, Gorilla gorilla": 366,
-    "gown": 578,
-    "grand piano, grand": 579,
-    "grasshopper, hopper": 311,
-    "great grey owl, great gray owl, Strix nebulosa": 24,
-    "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias": 2,
-    "green lizard, Lacerta viridis": 46,
-    "green mamba": 64,
-    "green snake, grass snake": 55,
-    "greenhouse, nursery, glasshouse": 580,
-    "grey fox, gray fox, Urocyon cinereoargenteus": 280,
-    "grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus": 147,
-    "grille, radiator grille": 581,
-    "grocery store, grocery, food market, market": 582,
-    "groenendael": 224,
-    "groom, bridegroom": 982,
-    "ground beetle, carabid beetle": 302,
-    "guacamole": 924,
-    "guenon, guenon monkey": 370,
-    "guillotine": 583,
-    "guinea pig, Cavia cobaya": 338,
-    "gyromitra": 993,
-    "hair slide": 584,
-    "hair spray": 585,
-    "half track": 586,
-    "hammer": 587,
-    "hammerhead, hammerhead shark": 4,
-    "hamper": 588,
-    "hamster": 333,
-    "hand blower, blow dryer, blow drier, hair dryer, hair drier": 589,
-    "hand-held computer, hand-held microcomputer": 590,
-    "handkerchief, hankie, hanky, hankey": 591,
-    "hard disc, hard disk, fixed disk": 592,
-    "hare": 331,
-    "harmonica, mouth organ, harp, mouth harp": 593,
-    "harp": 594,
-    "hartebeest": 351,
-    "harvester, reaper": 595,
-    "harvestman, daddy longlegs, Phalangium opilio": 70,
-    "hatchet": 596,
-    "hay": 958,
-    "head cabbage": 936,
-    "hen": 8,
-    "hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa": 996,
-    "hermit crab": 125,
-    "hip, rose hip, rosehip": 989,
-    "hippopotamus, hippo, river horse, Hippopotamus amphibius": 344,
-    "hog, pig, grunter, squealer, Sus scrofa": 341,
-    "hognose snake, puff adder, sand viper": 54,
-    "holster": 597,
-    "home theater, home theatre": 598,
-    "honeycomb": 599,
-    "hook, claw": 600,
-    "hoopskirt, crinoline": 601,
-    "horizontal bar, high bar": 602,
-    "hornbill": 93,
-    "horned viper, cerastes, sand viper, horned asp, Cerastes cornutus": 66,
-    "horse cart, horse-cart": 603,
-    "hot pot, hotpot": 926,
-    "hotdog, hot dog, red hot": 934,
-    "hourglass": 604,
-    "house finch, linnet, Carpodacus mexicanus": 12,
-    "howler monkey, howler": 379,
-    "hummingbird": 94,
-    "hyena, hyaena": 276,
-    "iPod": 605,
-    "ibex, Capra ibex": 350,
-    "ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus": 296,
-    "ice cream, icecream": 928,
-    "ice lolly, lolly, lollipop, popsicle": 929,
-    "impala, Aepyceros melampus": 352,
-    "indigo bunting, indigo finch, indigo bird, Passerina cyanea": 14,
-    "indri, indris, Indri indri, Indri brevicaudatus": 384,
-    "iron, smoothing iron": 606,
-    "isopod": 126,
-    "jacamar": 95,
-    "jack-o'-lantern": 607,
-    "jackfruit, jak, jack": 955,
-    "jaguar, panther, Panthera onca, Felis onca": 290,
-    "jay": 17,
-    "jean, blue jean, denim": 608,
-    "jeep, landrover": 609,
-    "jellyfish": 107,
-    "jersey, T-shirt, tee shirt": 610,
-    "jigsaw puzzle": 611,
-    "jinrikisha, ricksha, rickshaw": 612,
-    "joystick": 613,
-    "junco, snowbird": 13,
-    "keeshond": 261,
-    "kelpie": 227,
-    "killer whale, killer, orca, grampus, sea wolf, Orcinus orca": 148,
-    "kimono": 614,
-    "king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica": 121,
-    "king penguin, Aptenodytes patagonica": 145,
-    "king snake, kingsnake": 56,
-    "kit fox, Vulpes macrotis": 278,
-    "kite": 21,
-    "knee pad": 615,
-    "knot": 616,
-    "koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus": 105,
-    "komondor": 228,
-    "kuvasz": 222,
-    "lab coat, laboratory coat": 617,
-    "lacewing, lacewing fly": 318,
-    "ladle": 618,
-    "ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle": 301,
-    "lakeside, lakeshore": 975,
-    "lampshade, lamp shade": 619,
-    "langur": 374,
-    "laptop, laptop computer": 620,
-    "lawn mower, mower": 621,
-    "leaf beetle, chrysomelid": 304,
-    "leafhopper": 317,
-    "leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea": 34,
-    "lemon": 951,
-    "lens cap, lens cover": 622,
-    "leopard, Panthera pardus": 288,
-    "lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens": 387,
-    "letter opener, paper knife, paperknife": 623,
-    "library": 624,
-    "lifeboat": 625,
-    "lighter, light, igniter, ignitor": 626,
-    "limousine, limo": 627,
-    "limpkin, Aramus pictus": 135,
-    "liner, ocean liner": 628,
-    "lion, king of beasts, Panthera leo": 291,
-    "lionfish": 396,
-    "lipstick, lip rouge": 629,
-    "little blue heron, Egretta caerulea": 131,
-    "llama": 355,
-    "loggerhead, loggerhead turtle, Caretta caretta": 33,
-    "long-horned beetle, longicorn, longicorn beetle": 303,
-    "lorikeet": 90,
-    "lotion": 631,
-    "loudspeaker, speaker, speaker unit, loudspeaker system, speaker system": 632,
-    "loupe, jeweler's loupe": 633,
-    "lumbermill, sawmill": 634,
-    "lycaenid, lycaenid butterfly": 326,
-    "lynx, catamount": 287,
-    "macaque": 373,
-    "macaw": 88,
-    "magnetic compass": 635,
-    "magpie": 18,
-    "mailbag, postbag": 636,
-    "mailbox, letter box": 637,
-    "maillot": 638,
-    "maillot, tank suit": 639,
-    "malamute, malemute, Alaskan malamute": 249,
-    "malinois": 225,
-    "manhole cover": 640,
-    "mantis, mantid": 315,
-    "maraca": 641,
-    "marimba, xylophone": 642,
-    "marmoset": 377,
-    "marmot": 336,
-    "mashed potato": 935,
-    "mask": 643,
-    "matchstick": 644,
-    "maypole": 645,
-    "maze, labyrinth": 646,
-    "measuring cup": 647,
-    "meat loaf, meatloaf": 962,
-    "medicine chest, medicine cabinet": 648,
-    "meerkat, mierkat": 299,
-    "megalith, megalithic structure": 649,
-    "menu": 922,
-    "microphone, mike": 650,
-    "microwave, microwave oven": 651,
-    "military uniform": 652,
-    "milk can": 653,
-    "miniature pinscher": 237,
-    "miniature poodle": 266,
-    "miniature schnauzer": 196,
-    "minibus": 654,
-    "miniskirt, mini": 655,
-    "minivan": 656,
-    "mink": 357,
-    "missile": 657,
-    "mitten": 658,
-    "mixing bowl": 659,
-    "mobile home, manufactured home": 660,
-    "modem": 662,
-    "monarch, monarch butterfly, milkweed butterfly, Danaus plexippus": 323,
-    "monastery": 663,
-    "mongoose": 298,
-    "monitor": 664,
-    "moped": 665,
-    "mortar": 666,
-    "mortarboard": 667,
-    "mosque": 668,
-    "mosquito net": 669,
-    "motor scooter, scooter": 670,
-    "mountain bike, all-terrain bike, off-roader": 671,
-    "mountain tent": 672,
-    "mouse, computer mouse": 673,
-    "mousetrap": 674,
-    "moving van": 675,
-    "mud turtle": 35,
-    "mushroom": 947,
-    "muzzle": 676,
-    "nail": 677,
-    "neck brace": 678,
-    "necklace": 679,
-    "nematode, nematode worm, roundworm": 111,
-    "night snake, Hypsiglena torquata": 60,
-    "nipple": 680,
-    "notebook, notebook computer": 681,
-    "obelisk": 682,
-    "oboe, hautboy, hautbois": 683,
-    "ocarina, sweet potato": 684,
-    "odometer, hodometer, mileometer, milometer": 685,
-    "oil filter": 686,
-    "orange": 950,
-    "orangutan, orang, orangutang, Pongo pygmaeus": 365,
-    "organ, pipe organ": 687,
-    "oscilloscope, scope, cathode-ray oscilloscope, CRO": 688,
-    "ostrich, Struthio camelus": 9,
-    "otter": 360,
-    "otterhound, otter hound": 175,
-    "overskirt": 689,
-    "ox": 345,
-    "oxcart": 690,
-    "oxygen mask": 691,
-    "oystercatcher, oyster catcher": 143,
-    "packet": 692,
-    "paddle, boat paddle": 693,
-    "paddlewheel, paddle wheel": 694,
-    "padlock": 695,
-    "paintbrush": 696,
-    "pajama, pyjama, pj's, jammies": 697,
-    "palace": 698,
-    "panpipe, pandean pipe, syrinx": 699,
-    "paper towel": 700,
-    "papillon": 157,
-    "parachute, chute": 701,
-    "parallel bars, bars": 702,
-    "park bench": 703,
-    "parking meter": 704,
-    "partridge": 86,
-    "passenger car, coach, carriage": 705,
-    "patas, hussar monkey, Erythrocebus patas": 371,
-    "patio, terrace": 706,
-    "pay-phone, pay-station": 707,
-    "peacock": 84,
-    "pedestal, plinth, footstall": 708,
-    "pelican": 144,
-    "pencil box, pencil case": 709,
-    "pencil sharpener": 710,
-    "perfume, essence": 711,
-    "photocopier": 713,
-    "pick, plectrum, plectron": 714,
-    "pickelhaube": 715,
-    "picket fence, paling": 716,
-    "pickup, pickup truck": 717,
-    "pier": 718,
-    "piggy bank, penny bank": 719,
-    "pill bottle": 720,
-    "pillow": 721,
-    "pineapple, ananas": 953,
-    "ping-pong ball": 722,
-    "pinwheel": 723,
-    "pirate, pirate ship": 724,
-    "pitcher, ewer": 725,
-    "pizza, pizza pie": 963,
-    "plane, carpenter's plane, woodworking plane": 726,
-    "planetarium": 727,
-    "plastic bag": 728,
-    "plate": 923,
-    "plate rack": 729,
-    "platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus": 103,
-    "plow, plough": 730,
-    "plunger, plumber's helper": 731,
-    "pole": 733,
-    "polecat, fitch, foulmart, foumart, Mustela putorius": 358,
-    "police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria": 734,
-    "pomegranate": 957,
-    "poncho": 735,
-    "pool table, billiard table, snooker table": 736,
-    "pop bottle, soda bottle": 737,
-    "porcupine, hedgehog": 334,
-    "pot, flowerpot": 738,
-    "potpie": 964,
-    "potter's wheel": 739,
-    "power drill": 740,
-    "prairie chicken, prairie grouse, prairie fowl": 83,
-    "prayer rug, prayer mat": 741,
-    "pretzel": 932,
-    "printer": 742,
-    "prison, prison house": 743,
-    "proboscis monkey, Nasalis larvatus": 376,
-    "projectile, missile": 744,
-    "projector": 745,
-    "promontory, headland, head, foreland": 976,
-    "ptarmigan": 81,
-    "puck, hockey puck": 746,
-    "puffer, pufferfish, blowfish, globefish": 397,
-    "pug, pug-dog": 254,
-    "punching bag, punch bag, punching ball, punchball": 747,
-    "purse": 748,
-    "quail": 85,
-    "quill, quill pen": 749,
-    "quilt, comforter, comfort, puff": 750,
-    "racer, race car, racing car": 751,
-    "racket, racquet": 752,
-    "radiator": 753,
-    "radio telescope, radio reflector": 755,
-    "radio, wireless": 754,
-    "rain barrel": 756,
-    "ram, tup": 348,
-    "rapeseed": 984,
-    "recreational vehicle, RV, R.V.": 757,
-    "red fox, Vulpes vulpes": 277,
-    "red wine": 966,
-    "red wolf, maned wolf, Canis rufus, Canis niger": 271,
-    "red-backed sandpiper, dunlin, Erolia alpina": 140,
-    "red-breasted merganser, Mergus serrator": 98,
-    "redbone": 168,
-    "redshank, Tringa totanus": 141,
-    "reel": 758,
-    "reflex camera": 759,
-    "refrigerator, icebox": 760,
-    "remote control, remote": 761,
-    "restaurant, eating house, eating place, eatery": 762,
-    "revolver, six-gun, six-shooter": 763,
-    "rhinoceros beetle": 306,
-    "rifle": 764,
-    "ringlet, ringlet butterfly": 322,
-    "ringneck snake, ring-necked snake, ring snake": 53,
-    "robin, American robin, Turdus migratorius": 15,
-    "rock beauty, Holocanthus tricolor": 392,
-    "rock crab, Cancer irroratus": 119,
-    "rock python, rock snake, Python sebae": 62,
-    "rocking chair, rocker": 765,
-    "rotisserie": 766,
-    "rubber eraser, rubber, pencil eraser": 767,
-    "ruddy turnstone, Arenaria interpres": 139,
-    "ruffed grouse, partridge, Bonasa umbellus": 82,
-    "rugby ball": 768,
-    "rule, ruler": 769,
-    "running shoe": 770,
-    "safe": 771,
-    "safety pin": 772,
-    "saltshaker, salt shaker": 773,
-    "sandal": 774,
-    "sandbar, sand bar": 977,
-    "sarong": 775,
-    "sax, saxophone": 776,
-    "scabbard": 777,
-    "scale, weighing machine": 778,
-    "schipperke": 223,
-    "school bus": 779,
-    "schooner": 780,
-    "scoreboard": 781,
-    "scorpion": 71,
-    "screen, CRT screen": 782,
-    "screw": 783,
-    "screwdriver": 784,
-    "scuba diver": 983,
-    "sea anemone, anemone": 108,
-    "sea cucumber, holothurian": 329,
-    "sea lion": 150,
-    "sea slug, nudibranch": 115,
-    "sea snake": 65,
-    "sea urchin": 328,
-    "seashore, coast, seacoast, sea-coast": 978,
-    "seat belt, seatbelt": 785,
-    "sewing machine": 786,
-    "shield, buckler": 787,
-    "shoe shop, shoe-shop, shoe store": 788,
-    "shoji": 789,
-    "shopping basket": 790,
-    "shopping cart": 791,
-    "shovel": 792,
-    "shower cap": 793,
-    "shower curtain": 794,
-    "siamang, Hylobates syndactylus, Symphalangus syndactylus": 369,
-    "sidewinder, horned rattlesnake, Crotalus cerastes": 68,
-    "silky terrier, Sydney silky": 201,
-    "ski": 795,
-    "ski mask": 796,
-    "skunk, polecat, wood pussy": 361,
-    "sleeping bag": 797,
-    "slide rule, slipstick": 798,
-    "sliding door": 799,
-    "slot, one-armed bandit": 800,
-    "sloth bear, Melursus ursinus, Ursus ursinus": 297,
-    "slug": 114,
-    "snail": 113,
-    "snorkel": 801,
-    "snow leopard, ounce, Panthera uncia": 289,
-    "snowmobile": 802,
-    "snowplow, snowplough": 803,
-    "soap dispenser": 804,
-    "soccer ball": 805,
-    "sock": 806,
-    "soft-coated wheaten terrier": 202,
-    "solar dish, solar collector, solar furnace": 807,
-    "sombrero": 808,
-    "sorrel": 339,
-    "soup bowl": 809,
-    "space bar": 810,
-    "space heater": 811,
-    "space shuttle": 812,
-    "spaghetti squash": 940,
-    "spatula": 813,
-    "speedboat": 814,
-    "spider monkey, Ateles geoffroyi": 381,
-    "spider web, spider's web": 815,
-    "spindle": 816,
-    "spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish": 123,
-    "spoonbill": 129,
-    "sports car, sport car": 817,
-    "spotlight, spot": 818,
-    "spotted salamander, Ambystoma maculatum": 28,
-    "squirrel monkey, Saimiri sciureus": 382,
-    "stage": 819,
-    "standard poodle": 267,
-    "standard schnauzer": 198,
-    "starfish, sea star": 327,
-    "steam locomotive": 820,
-    "steel arch bridge": 821,
-    "steel drum": 822,
-    "stethoscope": 823,
-    "stingray": 6,
-    "stinkhorn, carrion fungus": 994,
-    "stole": 824,
-    "stone wall": 825,
-    "stopwatch, stop watch": 826,
-    "stove": 827,
-    "strainer": 828,
-    "strawberry": 949,
-    "street sign": 919,
-    "streetcar, tram, tramcar, trolley, trolley car": 829,
-    "stretcher": 830,
-    "studio couch, day bed": 831,
-    "stupa, tope": 832,
-    "sturgeon": 394,
-    "submarine, pigboat, sub, U-boat": 833,
-    "suit, suit of clothes": 834,
-    "sulphur butterfly, sulfur butterfly": 325,
-    "sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita": 89,
-    "sundial": 835,
-    "sunglass": 836,
-    "sunglasses, dark glasses, shades": 837,
-    "sunscreen, sunblock, sun blocker": 838,
-    "suspension bridge": 839,
-    "swab, swob, mop": 840,
-    "sweatshirt": 841,
-    "swimming trunks, bathing trunks": 842,
-    "swing": 843,
-    "switch, electric switch, electrical switch": 844,
-    "syringe": 845,
-    "tabby, tabby cat": 281,
-    "table lamp": 846,
-    "tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui": 32,
-    "tank, army tank, armored combat vehicle, armoured combat vehicle": 847,
-    "tape player": 848,
-    "tarantula": 76,
-    "teapot": 849,
-    "teddy, teddy bear": 850,
-    "television, television system": 851,
-    "tench, Tinca tinca": 0,
-    "tennis ball": 852,
-    "terrapin": 36,
-    "thatch, thatched roof": 853,
-    "theater curtain, theatre curtain": 854,
-    "thimble": 855,
-    "three-toed sloth, ai, Bradypus tridactylus": 364,
-    "thresher, thrasher, threshing machine": 856,
-    "throne": 857,
-    "thunder snake, worm snake, Carphophis amoenus": 52,
-    "tick": 78,
-    "tiger beetle": 300,
-    "tiger cat": 282,
-    "tiger shark, Galeocerdo cuvieri": 3,
-    "tiger, Panthera tigris": 292,
-    "tile roof": 858,
-    "timber wolf, grey wolf, gray wolf, Canis lupus": 269,
-    "titi, titi monkey": 380,
-    "toaster": 859,
-    "tobacco shop, tobacconist shop, tobacconist": 860,
-    "toilet seat": 861,
-    "toilet tissue, toilet paper, bathroom tissue": 999,
-    "torch": 862,
-    "totem pole": 863,
-    "toucan": 96,
-    "tow truck, tow car, wrecker": 864,
-    "toy poodle": 265,
-    "toy terrier": 158,
-    "toyshop": 865,
-    "tractor": 866,
-    "traffic light, traffic signal, stoplight": 920,
-    "trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi": 867,
-    "tray": 868,
-    "tree frog, tree-frog": 31,
-    "trench coat": 869,
-    "triceratops": 51,
-    "tricycle, trike, velocipede": 870,
-    "trifle": 927,
-    "trilobite": 69,
-    "trimaran": 871,
-    "tripod": 872,
-    "triumphal arch": 873,
-    "trolleybus, trolley coach, trackless trolley": 874,
-    "trombone": 875,
-    "tub, vat": 876,
-    "turnstile": 877,
-    "tusker": 101,
-    "typewriter keyboard": 878,
-    "umbrella": 879,
-    "unicycle, monocycle": 880,
-    "upright, upright piano": 881,
-    "vacuum, vacuum cleaner": 882,
-    "valley, vale": 979,
-    "vase": 883,
-    "vault": 884,
-    "velvet": 885,
-    "vending machine": 886,
-    "vestment": 887,
-    "viaduct": 888,
-    "vine snake": 59,
-    "violin, fiddle": 889,
-    "vizsla, Hungarian pointer": 211,
-    "volcano": 980,
-    "volleyball": 890,
-    "vulture": 23,
-    "waffle iron": 891,
-    "walking stick, walkingstick, stick insect": 313,
-    "wall clock": 892,
-    "wallaby, brush kangaroo": 104,
-    "wallet, billfold, notecase, pocketbook": 893,
-    "wardrobe, closet, press": 894,
-    "warplane, military plane": 895,
-    "warthog": 343,
-    "washbasin, handbasin, washbowl, lavabo, wash-hand basin": 896,
-    "washer, automatic washer, washing machine": 897,
-    "water bottle": 898,
-    "water buffalo, water ox, Asiatic buffalo, Bubalus bubalis": 346,
-    "water jug": 899,
-    "water ouzel, dipper": 20,
-    "water snake": 58,
-    "water tower": 900,
-    "weasel": 356,
-    "web site, website, internet site, site": 916,
-    "weevil": 307,
-    "whippet": 172,
-    "whiptail, whiptail lizard": 41,
-    "whiskey jug": 901,
-    "whistle": 902,
-    "white stork, Ciconia ciconia": 127,
-    "white wolf, Arctic wolf, Canis lupus tundrarum": 270,
-    "wig": 903,
-    "wild boar, boar, Sus scrofa": 342,
-    "window screen": 904,
-    "window shade": 905,
-    "wine bottle": 907,
-    "wing": 908,
-    "wire-haired fox terrier": 188,
-    "wok": 909,
-    "wolf spider, hunting spider": 77,
-    "wombat": 106,
-    "wood rabbit, cottontail, cottontail rabbit": 330,
-    "wooden spoon": 910,
-    "wool, woolen, woollen": 911,
-    "worm fence, snake fence, snake-rail fence, Virginia fence": 912,
-    "wreck": 913,
-    "yawl": 914,
-    "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum": 986,
-    "yurt": 915,
-    "zebra": 340,
-    "zucchini, courgette": 939
+    "construction-bridge": "22",
+    "construction-building": "18",
+    "construction-door": "19",
+    "construction-fenceguardrail": "21",
+    "construction-stairs": "24",
+    "construction-tunnel": "23",
+    "construction-wall": "20",
+    "flat-crosswalk": "3",
+    "flat-curb": "7",
+    "flat-cyclinglane": "4",
+    "flat-parkingdriveway": "5",
+    "flat-railtrack": "6",
+    "flat-road": "1",
+    "flat-sidewalk": "2",
+    "human-person": "8",
+    "human-rider": "9",
+    "nature-terrain": "29",
+    "nature-vegetation": "28",
+    "object-pole": "25",
+    "object-trafficlight": "27",
+    "object-trafficsign": "26",
+    "sky": "30",
+    "unlabeled": "0",
+    "vehicle-bicycle": "15",
+    "vehicle-bus": "12",
+    "vehicle-car": "10",
+    "vehicle-caravan": "16",
+    "vehicle-cartrailer": "17",
+    "vehicle-motorcycle": "14",
+    "vehicle-tramtrain": "13",
+    "vehicle-truck": "11",
+    "void-dynamic": "32",
+    "void-ground": "31",
+    "void-static": "33",
+    "void-unclear": "34"
   },
   "layer_norm_eps": 1e-06,
   "mlp_ratios": [

finetuning.ipynb

@@ -940,40 +940,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Cloning https://huggingface.co/ChainYo/segformer-sidewalk into local empty directory.\n",
+      "/home/chainyo/code/segformer-sidewalk/. is already a clone of https://huggingface.co/ChainYo/segformer-sidewalk. Make sure you pull the latest changes with `repo.git_pull()`.\n",
       "remote: Enforcing permissions...        \n",
       "remote: Allowed refs: all        \n",
       "To https://huggingface.co/ChainYo/segformer-sidewalk\n",
-      "   c75c928..5d5f276  main -> main\n",
+      "   5d5f276..56db83f  main -> main\n",
       "\n"
      ]
     },
     {
-     "ename": "OSError",
-     "evalue": "It looks like the config file at '/home/chainyo/code/segformer-sidewalk/checkpoints/epoch=44-step=1125.ckpt' is not a valid JSON file.",
+     "ename": "TypeError",
+     "evalue": "__init__() got an unexpected keyword argument 'num_labels'",
      "output_type": "error",
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mUnicodeDecodeError\u001b[0m                        Traceback (most recent call last)",
-      "File \u001b[0;32m~/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py:650\u001b[0m, in \u001b[0;36mPretrainedConfig._get_config_dict\u001b[0;34m(cls, pretrained_model_name_or_path, **kwargs)\u001b[0m\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=647'>648</a>\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=648'>649</a>\u001b[0m     \u001b[39m# Load config dict\u001b[39;00m\n\u001b[0;32m--> <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=649'>650</a>\u001b[0m     config_dict \u001b[39m=\u001b[39m \u001b[39mcls\u001b[39;49m\u001b[39m.\u001b[39;49m_dict_from_json_file(resolved_config_file)\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=650'>651</a>\u001b[0m \u001b[39mexcept\u001b[39;00m (json\u001b[39m.\u001b[39mJSONDecodeError, \u001b[39mUnicodeDecodeError\u001b[39;00m):\n",
-      "File \u001b[0;32m~/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py:733\u001b[0m, in \u001b[0;36mPretrainedConfig._dict_from_json_file\u001b[0;34m(cls, json_file)\u001b[0m\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=731'>732</a>\u001b[0m \u001b[39mwith\u001b[39;00m \u001b[39mopen\u001b[39m(json_file, \u001b[39m\"\u001b[39m\u001b[39mr\u001b[39m\u001b[39m\"\u001b[39m, encoding\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mutf-8\u001b[39m\u001b[39m\"\u001b[39m) \u001b[39mas\u001b[39;00m reader:\n\u001b[0;32m--> <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=732'>733</a>\u001b[0m     text \u001b[39m=\u001b[39m reader\u001b[39m.\u001b[39;49mread()\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=733'>734</a>\u001b[0m \u001b[39mreturn\u001b[39;00m json\u001b[39m.\u001b[39mloads(text)\n",
-      "File \u001b[0;32m~/miniconda3/envs/segformer/lib/python3.8/codecs.py:322\u001b[0m, in \u001b[0;36mBufferedIncrementalDecoder.decode\u001b[0;34m(self, input, final)\u001b[0m\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/codecs.py?line=320'>321</a>\u001b[0m data \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mbuffer \u001b[39m+\u001b[39m \u001b[39minput\u001b[39m\n\u001b[0;32m--> <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/codecs.py?line=321'>322</a>\u001b[0m (result, consumed) \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_buffer_decode(data, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49merrors, final)\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/codecs.py?line=322'>323</a>\u001b[0m \u001b[39m# keep undecoded input until the next call\u001b[39;00m\n",
-      "\u001b[0;31mUnicodeDecodeError\u001b[0m: 'utf-8' codec can't decode byte 0x80 in position 64: invalid start byte",
-      "\nDuring handling of the above exception, another exception occurred:\n",
-      "\u001b[0;31mOSError\u001b[0m                                   Traceback (most recent call last)",
-      "\u001b[1;32m/home/chainyo/code/segformer-sidewalk/finetuning.ipynb Cell 23'\u001b[0m in \u001b[0;36m<cell line: 11>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=7'>8</a>\u001b[0m config \u001b[39m=\u001b[39m AutoConfig\u001b[39m.\u001b[39mfrom_pretrained(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mnvidia/mit-b0\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=8'>9</a>\u001b[0m config\u001b[39m.\u001b[39mpush_to_hub(\u001b[39m\"\u001b[39m\u001b[39msegformer-sidewalk\u001b[39m\u001b[39m\"\u001b[39m, repo_url\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mhttps://huggingface.co/ChainYo/segformer-sidewalk\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m---> <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=10'>11</a>\u001b[0m model \u001b[39m=\u001b[39m SegformerForSemanticSegmentation\u001b[39m.\u001b[39;49mfrom_pretrained(\n\u001b[1;32m     <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=11'>12</a>\u001b[0m     \u001b[39m\"\u001b[39;49m\u001b[39m/home/chainyo/code/segformer-sidewalk/checkpoints/epoch=44-step=1125.ckpt\u001b[39;49m\u001b[39m\"\u001b[39;49m, \n\u001b[1;32m     <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=12'>13</a>\u001b[0m     num_labels\u001b[39m=\u001b[39;49mnum_labels, \n\u001b[1;32m     <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=13'>14</a>\u001b[0m     id2label\u001b[39m=\u001b[39;49mid2label, \n\u001b[1;32m     <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=14'>15</a>\u001b[0m     label2id\u001b[39m=\u001b[39;49mid2label,\n\u001b[1;32m     <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=15'>16</a>\u001b[0m )\n\u001b[1;32m     <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=16'>17</a>\u001b[0m model\u001b[39m.\u001b[39mpush_to_hub(\u001b[39m\"\u001b[39m\u001b[39msegformer-sidewalk\u001b[39m\u001b[39m\"\u001b[39m, repo_url\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mhttps://huggingface.co/ChainYo/segformer-sidewalk\u001b[39m\u001b[39m\"\u001b[39m)\n",
-      "File \u001b[0;32m~/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py:1764\u001b[0m, in \u001b[0;36mPreTrainedModel.from_pretrained\u001b[0;34m(cls, pretrained_model_name_or_path, *model_args, **kwargs)\u001b[0m\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=1761'>1762</a>\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39misinstance\u001b[39m(config, PretrainedConfig):\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=1762'>1763</a>\u001b[0m     config_path \u001b[39m=\u001b[39m config \u001b[39mif\u001b[39;00m config \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39melse\u001b[39;00m pretrained_model_name_or_path\n\u001b[0;32m-> <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=1763'>1764</a>\u001b[0m     config, model_kwargs \u001b[39m=\u001b[39m \u001b[39mcls\u001b[39;49m\u001b[39m.\u001b[39;49mconfig_class\u001b[39m.\u001b[39;49mfrom_pretrained(\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=1764'>1765</a>\u001b[0m         config_path,\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=1765'>1766</a>\u001b[0m         cache_dir\u001b[39m=\u001b[39;49mcache_dir,\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=1766'>1767</a>\u001b[0m         return_unused_kwargs\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m,\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=1767'>1768</a>\u001b[0m         force_download\u001b[39m=\u001b[39;49mforce_download,\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=1768'>1769</a>\u001b[0m         resume_download\u001b[39m=\u001b[39;49mresume_download,\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=1769'>1770</a>\u001b[0m         proxies\u001b[39m=\u001b[39;49mproxies,\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=1770'>1771</a>\u001b[0m         local_files_only\u001b[39m=\u001b[39;49mlocal_files_only,\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=1771'>1772</a>\u001b[0m         use_auth_token\u001b[39m=\u001b[39;49muse_auth_token,\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=1772'>1773</a>\u001b[0m         revision\u001b[39m=\u001b[39;49mrevision,\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=1773'>1774</a>\u001b[0m         _from_auto\u001b[39m=\u001b[39;49mfrom_auto_class,\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=1774'>1775</a>\u001b[0m         _from_pipeline\u001b[39m=\u001b[39;49mfrom_pipeline,\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=1775'>1776</a>\u001b[0m         \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs,\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=1776'>1777</a>\u001b[0m     )\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=1777'>1778</a>\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=1778'>1779</a>\u001b[0m     model_kwargs \u001b[39m=\u001b[39m kwargs\n",
-      "File \u001b[0;32m~/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py:526\u001b[0m, in \u001b[0;36mPretrainedConfig.from_pretrained\u001b[0;34m(cls, pretrained_model_name_or_path, **kwargs)\u001b[0m\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=451'>452</a>\u001b[0m \u001b[39m@classmethod\u001b[39m\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=452'>453</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mfrom_pretrained\u001b[39m(\u001b[39mcls\u001b[39m, pretrained_model_name_or_path: Union[\u001b[39mstr\u001b[39m, os\u001b[39m.\u001b[39mPathLike], \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mPretrainedConfig\u001b[39m\u001b[39m\"\u001b[39m:\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=453'>454</a>\u001b[0m     \u001b[39mr\u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=454'>455</a>\u001b[0m \u001b[39m    Instantiate a [`PretrainedConfig`] (or a derived class) from a pretrained model configuration.\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=455'>456</a>\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=523'>524</a>\u001b[0m \u001b[39m    assert unused_kwargs == {\"foo\": False}\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=524'>525</a>\u001b[0m \u001b[39m    ```\"\"\"\u001b[39;00m\n\u001b[0;32m--> <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=525'>526</a>\u001b[0m     config_dict, kwargs \u001b[39m=\u001b[39m \u001b[39mcls\u001b[39;49m\u001b[39m.\u001b[39;49mget_config_dict(pretrained_model_name_or_path, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=526'>527</a>\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39m\"\u001b[39m\u001b[39mmodel_type\u001b[39m\u001b[39m\"\u001b[39m \u001b[39min\u001b[39;00m config_dict \u001b[39mand\u001b[39;00m \u001b[39mhasattr\u001b[39m(\u001b[39mcls\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mmodel_type\u001b[39m\u001b[39m\"\u001b[39m) \u001b[39mand\u001b[39;00m config_dict[\u001b[39m\"\u001b[39m\u001b[39mmodel_type\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m!=\u001b[39m \u001b[39mcls\u001b[39m\u001b[39m.\u001b[39mmodel_type:\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=527'>528</a>\u001b[0m         logger\u001b[39m.\u001b[39mwarning(\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=528'>529</a>\u001b[0m             \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mYou are using a model of type \u001b[39m\u001b[39m{\u001b[39;00mconfig_dict[\u001b[39m'\u001b[39m\u001b[39mmodel_type\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m}\u001b[39;00m\u001b[39m to instantiate a model of type \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=529'>530</a>\u001b[0m             \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m{\u001b[39;00m\u001b[39mcls\u001b[39m\u001b[39m.\u001b[39mmodel_type\u001b[39m}\u001b[39;00m\u001b[39m. This is not supported for all configurations of models and can yield errors.\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=530'>531</a>\u001b[0m         )\n",
-      "File \u001b[0;32m~/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py:553\u001b[0m, in \u001b[0;36mPretrainedConfig.get_config_dict\u001b[0;34m(cls, pretrained_model_name_or_path, **kwargs)\u001b[0m\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=550'>551</a>\u001b[0m original_kwargs \u001b[39m=\u001b[39m copy\u001b[39m.\u001b[39mdeepcopy(kwargs)\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=551'>552</a>\u001b[0m \u001b[39m# Get config dict associated with the base config file\u001b[39;00m\n\u001b[0;32m--> <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=552'>553</a>\u001b[0m config_dict, kwargs \u001b[39m=\u001b[39m \u001b[39mcls\u001b[39;49m\u001b[39m.\u001b[39;49m_get_config_dict(pretrained_model_name_or_path, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=554'>555</a>\u001b[0m \u001b[39m# That config file may point us toward another config file to use.\u001b[39;00m\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=555'>556</a>\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39m\"\u001b[39m\u001b[39mconfiguration_files\u001b[39m\u001b[39m\"\u001b[39m \u001b[39min\u001b[39;00m config_dict:\n",
-      "File \u001b[0;32m~/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py:652\u001b[0m, in \u001b[0;36mPretrainedConfig._get_config_dict\u001b[0;34m(cls, pretrained_model_name_or_path, **kwargs)\u001b[0m\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=649'>650</a>\u001b[0m     config_dict \u001b[39m=\u001b[39m \u001b[39mcls\u001b[39m\u001b[39m.\u001b[39m_dict_from_json_file(resolved_config_file)\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=650'>651</a>\u001b[0m \u001b[39mexcept\u001b[39;00m (json\u001b[39m.\u001b[39mJSONDecodeError, \u001b[39mUnicodeDecodeError\u001b[39;00m):\n\u001b[0;32m--> <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=651'>652</a>\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mEnvironmentError\u001b[39;00m(\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=652'>653</a>\u001b[0m         \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mIt looks like the config file at \u001b[39m\u001b[39m'\u001b[39m\u001b[39m{\u001b[39;00mresolved_config_file\u001b[39m}\u001b[39;00m\u001b[39m'\u001b[39m\u001b[39m is not a valid JSON file.\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=653'>654</a>\u001b[0m     )\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=655'>656</a>\u001b[0m \u001b[39mif\u001b[39;00m resolved_config_file \u001b[39m==\u001b[39m config_file:\n\u001b[1;32m    <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/configuration_utils.py?line=656'>657</a>\u001b[0m     logger\u001b[39m.\u001b[39minfo(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mloading configuration file \u001b[39m\u001b[39m{\u001b[39;00mconfig_file\u001b[39m}\u001b[39;00m\u001b[39m\"\u001b[39m)\n",
-      "\u001b[0;31mOSError\u001b[0m: It looks like the config file at '/home/chainyo/code/segformer-sidewalk/checkpoints/epoch=44-step=1125.ckpt' is not a valid JSON file."
+      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[1;32m/home/chainyo/code/segformer-sidewalk/finetuning.ipynb Cell 23'\u001b[0m in \u001b[0;36m<cell line: 11>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=7'>8</a>\u001b[0m config \u001b[39m=\u001b[39m AutoConfig\u001b[39m.\u001b[39mfrom_pretrained(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mnvidia/mit-b0\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m      <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=8'>9</a>\u001b[0m config\u001b[39m.\u001b[39mpush_to_hub(\u001b[39m\"\u001b[39m\u001b[39m.\u001b[39m\u001b[39m\"\u001b[39m, repo_url\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mhttps://huggingface.co/ChainYo/segformer-sidewalk\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m---> <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=10'>11</a>\u001b[0m model \u001b[39m=\u001b[39m SegformerForSemanticSegmentation\u001b[39m.\u001b[39;49mfrom_pretrained(\n\u001b[1;32m     <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=11'>12</a>\u001b[0m     \u001b[39m\"\u001b[39;49m\u001b[39m/home/chainyo/code/segformer-sidewalk/checkpoints/epoch=44-step=1125.ckpt\u001b[39;49m\u001b[39m\"\u001b[39;49m, \n\u001b[1;32m     <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=12'>13</a>\u001b[0m     num_labels\u001b[39m=\u001b[39;49mnum_labels, \n\u001b[1;32m     <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=13'>14</a>\u001b[0m     id2label\u001b[39m=\u001b[39;49mid2label, \n\u001b[1;32m     <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=14'>15</a>\u001b[0m     label2id\u001b[39m=\u001b[39;49mid2label,\n\u001b[1;32m     <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=15'>16</a>\u001b[0m     config\u001b[39m=\u001b[39;49mconfig,\n\u001b[1;32m     <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=16'>17</a>\u001b[0m )\n\u001b[1;32m     <a href='vscode-notebook-cell:/home/chainyo/code/segformer-sidewalk/finetuning.ipynb#ch0000016?line=17'>18</a>\u001b[0m model\u001b[39m.\u001b[39mpush_to_hub(\u001b[39m\"\u001b[39m\u001b[39m.\u001b[39m\u001b[39m\"\u001b[39m, repo_url\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mhttps://huggingface.co/ChainYo/segformer-sidewalk\u001b[39m\u001b[39m\"\u001b[39m)\n",
+      "File \u001b[0;32m~/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py:2024\u001b[0m, in \u001b[0;36mPreTrainedModel.from_pretrained\u001b[0;34m(cls, pretrained_model_name_or_path, *model_args, **kwargs)\u001b[0m\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=2021'>2022</a>\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=2022'>2023</a>\u001b[0m     \u001b[39mwith\u001b[39;00m no_init_weights(_enable\u001b[39m=\u001b[39m_fast_init):\n\u001b[0;32m-> <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=2023'>2024</a>\u001b[0m         model \u001b[39m=\u001b[39m \u001b[39mcls\u001b[39;49m(config, \u001b[39m*\u001b[39;49mmodel_args, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mmodel_kwargs)\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=2025'>2026</a>\u001b[0m \u001b[39mif\u001b[39;00m from_tf:\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=2026'>2027</a>\u001b[0m     \u001b[39mif\u001b[39;00m resolved_archive_file\u001b[39m.\u001b[39mendswith(\u001b[39m\"\u001b[39m\u001b[39m.index\u001b[39m\u001b[39m\"\u001b[39m):\n\u001b[1;32m   <a href='file:///home/chainyo/miniconda3/envs/segformer/lib/python3.8/site-packages/transformers/modeling_utils.py?line=2027'>2028</a>\u001b[0m         \u001b[39m# Load from a TensorFlow 1.X checkpoint - provided by original authors\u001b[39;00m\n",
+      "\u001b[0;31mTypeError\u001b[0m: __init__() got an unexpected keyword argument 'num_labels'"
      ]
     }
    ],
@@ -986,13 +977,13 @@
     "num_labels = len(id2label)\n",
     "\n",
     "config = AutoConfig.from_pretrained(f\"nvidia/mit-b0\")\n",
+    "config.num_labels = num_labels\n",
+    "config.id2label = id2label\n",
+    "config.label2id = {v: k for k, v in id2label_file.items()}\n",
     "config.push_to_hub(\".\", repo_url=\"https://huggingface.co/ChainYo/segformer-sidewalk\")\n",
     "\n",
     "model = SegformerForSemanticSegmentation.from_pretrained(\n",
     "    \"/home/chainyo/code/segformer-sidewalk/checkpoints/epoch=44-step=1125.ckpt\", \n",
-    "    num_labels=num_labels, \n",
-    "    id2label=id2label, \n",
-    "    label2id=id2label,\n",
     "    config=config,\n",
     ")\n",
     "model.push_to_hub(\".\", repo_url=\"https://huggingface.co/ChainYo/segformer-sidewalk\")"