Upload model
Browse files- config.json +2026 -0
- configuration_resnet.py +46 -0
- model.safetensors +3 -0
- modeling_resnet.py +107 -0
config.json
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|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"ResnetModel"
|
| 4 |
+
],
|
| 5 |
+
"auto_map": {
|
| 6 |
+
"AutoConfig": "configuration_resnet.ResnetConfig",
|
| 7 |
+
"AutoModel": "modeling_resnet.ResnetModel"
|
| 8 |
+
},
|
| 9 |
+
"id2label": {
|
| 10 |
+
"0": "tench",
|
| 11 |
+
"1": "goldfish",
|
| 12 |
+
"2": "great white shark",
|
| 13 |
+
"3": "tiger shark",
|
| 14 |
+
"4": "hammerhead",
|
| 15 |
+
"5": "electric ray",
|
| 16 |
+
"6": "stingray",
|
| 17 |
+
"7": "cock",
|
| 18 |
+
"8": "hen",
|
| 19 |
+
"9": "ostrich",
|
| 20 |
+
"10": "brambling",
|
| 21 |
+
"11": "goldfinch",
|
| 22 |
+
"12": "house finch",
|
| 23 |
+
"13": "junco",
|
| 24 |
+
"14": "indigo bunting",
|
| 25 |
+
"15": "robin",
|
| 26 |
+
"16": "bulbul",
|
| 27 |
+
"17": "jay",
|
| 28 |
+
"18": "magpie",
|
| 29 |
+
"19": "chickadee",
|
| 30 |
+
"20": "water ouzel",
|
| 31 |
+
"21": "kite",
|
| 32 |
+
"22": "bald eagle",
|
| 33 |
+
"23": "vulture",
|
| 34 |
+
"24": "great grey owl",
|
| 35 |
+
"25": "European fire salamander",
|
| 36 |
+
"26": "common newt",
|
| 37 |
+
"27": "eft",
|
| 38 |
+
"28": "spotted salamander",
|
| 39 |
+
"29": "axolotl",
|
| 40 |
+
"30": "bullfrog",
|
| 41 |
+
"31": "tree frog",
|
| 42 |
+
"32": "tailed frog",
|
| 43 |
+
"33": "loggerhead",
|
| 44 |
+
"34": "leatherback turtle",
|
| 45 |
+
"35": "mud turtle",
|
| 46 |
+
"36": "terrapin",
|
| 47 |
+
"37": "box turtle",
|
| 48 |
+
"38": "banded gecko",
|
| 49 |
+
"39": "common iguana",
|
| 50 |
+
"40": "American chameleon",
|
| 51 |
+
"41": "whiptail",
|
| 52 |
+
"42": "agama",
|
| 53 |
+
"43": "frilled lizard",
|
| 54 |
+
"44": "alligator lizard",
|
| 55 |
+
"45": "Gila monster",
|
| 56 |
+
"46": "green lizard",
|
| 57 |
+
"47": "African chameleon",
|
| 58 |
+
"48": "Komodo dragon",
|
| 59 |
+
"49": "African crocodile",
|
| 60 |
+
"50": "American alligator",
|
| 61 |
+
"51": "triceratops",
|
| 62 |
+
"52": "thunder snake",
|
| 63 |
+
"53": "ringneck snake",
|
| 64 |
+
"54": "hognose snake",
|
| 65 |
+
"55": "green snake",
|
| 66 |
+
"56": "king snake",
|
| 67 |
+
"57": "garter snake",
|
| 68 |
+
"58": "water snake",
|
| 69 |
+
"59": "vine snake",
|
| 70 |
+
"60": "night snake",
|
| 71 |
+
"61": "boa constrictor",
|
| 72 |
+
"62": "rock python",
|
| 73 |
+
"63": "Indian cobra",
|
| 74 |
+
"64": "green mamba",
|
| 75 |
+
"65": "sea snake",
|
| 76 |
+
"66": "horned viper",
|
| 77 |
+
"67": "diamondback",
|
| 78 |
+
"68": "sidewinder",
|
| 79 |
+
"69": "trilobite",
|
| 80 |
+
"70": "harvestman",
|
| 81 |
+
"71": "scorpion",
|
| 82 |
+
"72": "black and gold garden spider",
|
| 83 |
+
"73": "barn spider",
|
| 84 |
+
"74": "garden spider",
|
| 85 |
+
"75": "black widow",
|
| 86 |
+
"76": "tarantula",
|
| 87 |
+
"77": "wolf spider",
|
| 88 |
+
"78": "tick",
|
| 89 |
+
"79": "centipede",
|
| 90 |
+
"80": "black grouse",
|
| 91 |
+
"81": "ptarmigan",
|
| 92 |
+
"82": "ruffed grouse",
|
| 93 |
+
"83": "prairie chicken",
|
| 94 |
+
"84": "peacock",
|
| 95 |
+
"85": "quail",
|
| 96 |
+
"86": "partridge",
|
| 97 |
+
"87": "African grey",
|
| 98 |
+
"88": "macaw",
|
| 99 |
+
"89": "sulphur-crested cockatoo",
|
| 100 |
+
"90": "lorikeet",
|
| 101 |
+
"91": "coucal",
|
| 102 |
+
"92": "bee eater",
|
| 103 |
+
"93": "hornbill",
|
| 104 |
+
"94": "hummingbird",
|
| 105 |
+
"95": "jacamar",
|
| 106 |
+
"96": "toucan",
|
| 107 |
+
"97": "drake",
|
| 108 |
+
"98": "red-breasted merganser",
|
| 109 |
+
"99": "goose",
|
| 110 |
+
"100": "black swan",
|
| 111 |
+
"101": "tusker",
|
| 112 |
+
"102": "echidna",
|
| 113 |
+
"103": "platypus",
|
| 114 |
+
"104": "wallaby",
|
| 115 |
+
"105": "koala",
|
| 116 |
+
"106": "wombat",
|
| 117 |
+
"107": "jellyfish",
|
| 118 |
+
"108": "sea anemone",
|
| 119 |
+
"109": "brain coral",
|
| 120 |
+
"110": "flatworm",
|
| 121 |
+
"111": "nematode",
|
| 122 |
+
"112": "conch",
|
| 123 |
+
"113": "snail",
|
| 124 |
+
"114": "slug",
|
| 125 |
+
"115": "sea slug",
|
| 126 |
+
"116": "chiton",
|
| 127 |
+
"117": "chambered nautilus",
|
| 128 |
+
"118": "Dungeness crab",
|
| 129 |
+
"119": "rock crab",
|
| 130 |
+
"120": "fiddler crab",
|
| 131 |
+
"121": "king crab",
|
| 132 |
+
"122": "American lobster",
|
| 133 |
+
"123": "spiny lobster",
|
| 134 |
+
"124": "crayfish",
|
| 135 |
+
"125": "hermit crab",
|
| 136 |
+
"126": "isopod",
|
| 137 |
+
"127": "white stork",
|
| 138 |
+
"128": "black stork",
|
| 139 |
+
"129": "spoonbill",
|
| 140 |
+
"130": "flamingo",
|
| 141 |
+
"131": "little blue heron",
|
| 142 |
+
"132": "American egret",
|
| 143 |
+
"133": "bittern",
|
| 144 |
+
"134": "crane bird",
|
| 145 |
+
"135": "limpkin",
|
| 146 |
+
"136": "European gallinule",
|
| 147 |
+
"137": "American coot",
|
| 148 |
+
"138": "bustard",
|
| 149 |
+
"139": "ruddy turnstone",
|
| 150 |
+
"140": "red-backed sandpiper",
|
| 151 |
+
"141": "redshank",
|
| 152 |
+
"142": "dowitcher",
|
| 153 |
+
"143": "oystercatcher",
|
| 154 |
+
"144": "pelican",
|
| 155 |
+
"145": "king penguin",
|
| 156 |
+
"146": "albatross",
|
| 157 |
+
"147": "grey whale",
|
| 158 |
+
"148": "killer whale",
|
| 159 |
+
"149": "dugong",
|
| 160 |
+
"150": "sea lion",
|
| 161 |
+
"151": "Chihuahua",
|
| 162 |
+
"152": "Japanese spaniel",
|
| 163 |
+
"153": "Maltese dog",
|
| 164 |
+
"154": "Pekinese",
|
| 165 |
+
"155": "Shih-Tzu",
|
| 166 |
+
"156": "Blenheim spaniel",
|
| 167 |
+
"157": "papillon",
|
| 168 |
+
"158": "toy terrier",
|
| 169 |
+
"159": "Rhodesian ridgeback",
|
| 170 |
+
"160": "Afghan hound",
|
| 171 |
+
"161": "basset",
|
| 172 |
+
"162": "beagle",
|
| 173 |
+
"163": "bloodhound",
|
| 174 |
+
"164": "bluetick",
|
| 175 |
+
"165": "black-and-tan coonhound",
|
| 176 |
+
"166": "Walker hound",
|
| 177 |
+
"167": "English foxhound",
|
| 178 |
+
"168": "redbone",
|
| 179 |
+
"169": "borzoi",
|
| 180 |
+
"170": "Irish wolfhound",
|
| 181 |
+
"171": "Italian greyhound",
|
| 182 |
+
"172": "whippet",
|
| 183 |
+
"173": "Ibizan hound",
|
| 184 |
+
"174": "Norwegian elkhound",
|
| 185 |
+
"175": "otterhound",
|
| 186 |
+
"176": "Saluki",
|
| 187 |
+
"177": "Scottish deerhound",
|
| 188 |
+
"178": "Weimaraner",
|
| 189 |
+
"179": "Staffordshire bullterrier",
|
| 190 |
+
"180": "American Staffordshire terrier",
|
| 191 |
+
"181": "Bedlington terrier",
|
| 192 |
+
"182": "Border terrier",
|
| 193 |
+
"183": "Kerry blue terrier",
|
| 194 |
+
"184": "Irish terrier",
|
| 195 |
+
"185": "Norfolk terrier",
|
| 196 |
+
"186": "Norwich terrier",
|
| 197 |
+
"187": "Yorkshire terrier",
|
| 198 |
+
"188": "wire-haired fox terrier",
|
| 199 |
+
"189": "Lakeland terrier",
|
| 200 |
+
"190": "Sealyham terrier",
|
| 201 |
+
"191": "Airedale",
|
| 202 |
+
"192": "cairn",
|
| 203 |
+
"193": "Australian terrier",
|
| 204 |
+
"194": "Dandie Dinmont",
|
| 205 |
+
"195": "Boston bull",
|
| 206 |
+
"196": "miniature schnauzer",
|
| 207 |
+
"197": "giant schnauzer",
|
| 208 |
+
"198": "standard schnauzer",
|
| 209 |
+
"199": "Scotch terrier",
|
| 210 |
+
"200": "Tibetan terrier",
|
| 211 |
+
"201": "silky terrier",
|
| 212 |
+
"202": "soft-coated wheaten terrier",
|
| 213 |
+
"203": "West Highland white terrier",
|
| 214 |
+
"204": "Lhasa",
|
| 215 |
+
"205": "flat-coated retriever",
|
| 216 |
+
"206": "curly-coated retriever",
|
| 217 |
+
"207": "golden retriever",
|
| 218 |
+
"208": "Labrador retriever",
|
| 219 |
+
"209": "Chesapeake Bay retriever",
|
| 220 |
+
"210": "German short-haired pointer",
|
| 221 |
+
"211": "vizsla",
|
| 222 |
+
"212": "English setter",
|
| 223 |
+
"213": "Irish setter",
|
| 224 |
+
"214": "Gordon setter",
|
| 225 |
+
"215": "Brittany spaniel",
|
| 226 |
+
"216": "clumber",
|
| 227 |
+
"217": "English springer",
|
| 228 |
+
"218": "Welsh springer spaniel",
|
| 229 |
+
"219": "cocker spaniel",
|
| 230 |
+
"220": "Sussex spaniel",
|
| 231 |
+
"221": "Irish water spaniel",
|
| 232 |
+
"222": "kuvasz",
|
| 233 |
+
"223": "schipperke",
|
| 234 |
+
"224": "groenendael",
|
| 235 |
+
"225": "malinois",
|
| 236 |
+
"226": "briard",
|
| 237 |
+
"227": "kelpie",
|
| 238 |
+
"228": "komondor",
|
| 239 |
+
"229": "Old English sheepdog",
|
| 240 |
+
"230": "Shetland sheepdog",
|
| 241 |
+
"231": "collie",
|
| 242 |
+
"232": "Border collie",
|
| 243 |
+
"233": "Bouvier des Flandres",
|
| 244 |
+
"234": "Rottweiler",
|
| 245 |
+
"235": "German shepherd",
|
| 246 |
+
"236": "Doberman",
|
| 247 |
+
"237": "miniature pinscher",
|
| 248 |
+
"238": "Greater Swiss Mountain dog",
|
| 249 |
+
"239": "Bernese mountain dog",
|
| 250 |
+
"240": "Appenzeller",
|
| 251 |
+
"241": "EntleBucher",
|
| 252 |
+
"242": "boxer",
|
| 253 |
+
"243": "bull mastiff",
|
| 254 |
+
"244": "Tibetan mastiff",
|
| 255 |
+
"245": "French bulldog",
|
| 256 |
+
"246": "Great Dane",
|
| 257 |
+
"247": "Saint Bernard",
|
| 258 |
+
"248": "Eskimo dog",
|
| 259 |
+
"249": "malamute",
|
| 260 |
+
"250": "Siberian husky",
|
| 261 |
+
"251": "dalmatian",
|
| 262 |
+
"252": "affenpinscher",
|
| 263 |
+
"253": "basenji",
|
| 264 |
+
"254": "pug",
|
| 265 |
+
"255": "Leonberg",
|
| 266 |
+
"256": "Newfoundland",
|
| 267 |
+
"257": "Great Pyrenees",
|
| 268 |
+
"258": "Samoyed",
|
| 269 |
+
"259": "Pomeranian",
|
| 270 |
+
"260": "chow",
|
| 271 |
+
"261": "keeshond",
|
| 272 |
+
"262": "Brabancon griffon",
|
| 273 |
+
"263": "Pembroke",
|
| 274 |
+
"264": "Cardigan",
|
| 275 |
+
"265": "toy poodle",
|
| 276 |
+
"266": "miniature poodle",
|
| 277 |
+
"267": "standard poodle",
|
| 278 |
+
"268": "Mexican hairless",
|
| 279 |
+
"269": "timber wolf",
|
| 280 |
+
"270": "white wolf",
|
| 281 |
+
"271": "red wolf",
|
| 282 |
+
"272": "coyote",
|
| 283 |
+
"273": "dingo",
|
| 284 |
+
"274": "dhole",
|
| 285 |
+
"275": "African hunting dog",
|
| 286 |
+
"276": "hyena",
|
| 287 |
+
"277": "red fox",
|
| 288 |
+
"278": "kit fox",
|
| 289 |
+
"279": "Arctic fox",
|
| 290 |
+
"280": "grey fox",
|
| 291 |
+
"281": "tabby",
|
| 292 |
+
"282": "tiger cat",
|
| 293 |
+
"283": "Persian cat",
|
| 294 |
+
"284": "Siamese cat",
|
| 295 |
+
"285": "Egyptian cat",
|
| 296 |
+
"286": "cougar",
|
| 297 |
+
"287": "lynx",
|
| 298 |
+
"288": "leopard",
|
| 299 |
+
"289": "snow leopard",
|
| 300 |
+
"290": "jaguar",
|
| 301 |
+
"291": "lion",
|
| 302 |
+
"292": "tiger",
|
| 303 |
+
"293": "cheetah",
|
| 304 |
+
"294": "brown bear",
|
| 305 |
+
"295": "American black bear",
|
| 306 |
+
"296": "ice bear",
|
| 307 |
+
"297": "sloth bear",
|
| 308 |
+
"298": "mongoose",
|
| 309 |
+
"299": "meerkat",
|
| 310 |
+
"300": "tiger beetle",
|
| 311 |
+
"301": "ladybug",
|
| 312 |
+
"302": "ground beetle",
|
| 313 |
+
"303": "long-horned beetle",
|
| 314 |
+
"304": "leaf beetle",
|
| 315 |
+
"305": "dung beetle",
|
| 316 |
+
"306": "rhinoceros beetle",
|
| 317 |
+
"307": "weevil",
|
| 318 |
+
"308": "fly",
|
| 319 |
+
"309": "bee",
|
| 320 |
+
"310": "ant",
|
| 321 |
+
"311": "grasshopper",
|
| 322 |
+
"312": "cricket",
|
| 323 |
+
"313": "walking stick",
|
| 324 |
+
"314": "cockroach",
|
| 325 |
+
"315": "mantis",
|
| 326 |
+
"316": "cicada",
|
| 327 |
+
"317": "leafhopper",
|
| 328 |
+
"318": "lacewing",
|
| 329 |
+
"319": "dragonfly",
|
| 330 |
+
"320": "damselfly",
|
| 331 |
+
"321": "admiral",
|
| 332 |
+
"322": "ringlet",
|
| 333 |
+
"323": "monarch",
|
| 334 |
+
"324": "cabbage butterfly",
|
| 335 |
+
"325": "sulphur butterfly",
|
| 336 |
+
"326": "lycaenid",
|
| 337 |
+
"327": "starfish",
|
| 338 |
+
"328": "sea urchin",
|
| 339 |
+
"329": "sea cucumber",
|
| 340 |
+
"330": "wood rabbit",
|
| 341 |
+
"331": "hare",
|
| 342 |
+
"332": "Angora",
|
| 343 |
+
"333": "hamster",
|
| 344 |
+
"334": "porcupine",
|
| 345 |
+
"335": "fox squirrel",
|
| 346 |
+
"336": "marmot",
|
| 347 |
+
"337": "beaver",
|
| 348 |
+
"338": "guinea pig",
|
| 349 |
+
"339": "sorrel",
|
| 350 |
+
"340": "zebra",
|
| 351 |
+
"341": "hog",
|
| 352 |
+
"342": "wild boar",
|
| 353 |
+
"343": "warthog",
|
| 354 |
+
"344": "hippopotamus",
|
| 355 |
+
"345": "ox",
|
| 356 |
+
"346": "water buffalo",
|
| 357 |
+
"347": "bison",
|
| 358 |
+
"348": "ram",
|
| 359 |
+
"349": "bighorn",
|
| 360 |
+
"350": "ibex",
|
| 361 |
+
"351": "hartebeest",
|
| 362 |
+
"352": "impala",
|
| 363 |
+
"353": "gazelle",
|
| 364 |
+
"354": "Arabian camel",
|
| 365 |
+
"355": "llama",
|
| 366 |
+
"356": "weasel",
|
| 367 |
+
"357": "mink",
|
| 368 |
+
"358": "polecat",
|
| 369 |
+
"359": "black-footed ferret",
|
| 370 |
+
"360": "otter",
|
| 371 |
+
"361": "skunk",
|
| 372 |
+
"362": "badger",
|
| 373 |
+
"363": "armadillo",
|
| 374 |
+
"364": "three-toed sloth",
|
| 375 |
+
"365": "orangutan",
|
| 376 |
+
"366": "gorilla",
|
| 377 |
+
"367": "chimpanzee",
|
| 378 |
+
"368": "gibbon",
|
| 379 |
+
"369": "siamang",
|
| 380 |
+
"370": "guenon",
|
| 381 |
+
"371": "patas",
|
| 382 |
+
"372": "baboon",
|
| 383 |
+
"373": "macaque",
|
| 384 |
+
"374": "langur",
|
| 385 |
+
"375": "colobus",
|
| 386 |
+
"376": "proboscis monkey",
|
| 387 |
+
"377": "marmoset",
|
| 388 |
+
"378": "capuchin",
|
| 389 |
+
"379": "howler monkey",
|
| 390 |
+
"380": "titi",
|
| 391 |
+
"381": "spider monkey",
|
| 392 |
+
"382": "squirrel monkey",
|
| 393 |
+
"383": "Madagascar cat",
|
| 394 |
+
"384": "indri",
|
| 395 |
+
"385": "Indian elephant",
|
| 396 |
+
"386": "African elephant",
|
| 397 |
+
"387": "lesser panda",
|
| 398 |
+
"388": "giant panda",
|
| 399 |
+
"389": "barracouta",
|
| 400 |
+
"390": "eel",
|
| 401 |
+
"391": "coho",
|
| 402 |
+
"392": "rock beauty",
|
| 403 |
+
"393": "anemone fish",
|
| 404 |
+
"394": "sturgeon",
|
| 405 |
+
"395": "gar",
|
| 406 |
+
"396": "lionfish",
|
| 407 |
+
"397": "puffer",
|
| 408 |
+
"398": "abacus",
|
| 409 |
+
"399": "abaya",
|
| 410 |
+
"400": "academic gown",
|
| 411 |
+
"401": "accordion",
|
| 412 |
+
"402": "acoustic guitar",
|
| 413 |
+
"403": "aircraft carrier",
|
| 414 |
+
"404": "airliner",
|
| 415 |
+
"405": "airship",
|
| 416 |
+
"406": "altar",
|
| 417 |
+
"407": "ambulance",
|
| 418 |
+
"408": "amphibian",
|
| 419 |
+
"409": "analog clock",
|
| 420 |
+
"410": "apiary",
|
| 421 |
+
"411": "apron",
|
| 422 |
+
"412": "ashcan",
|
| 423 |
+
"413": "assault rifle",
|
| 424 |
+
"414": "backpack",
|
| 425 |
+
"415": "bakery",
|
| 426 |
+
"416": "balance beam",
|
| 427 |
+
"417": "balloon",
|
| 428 |
+
"418": "ballpoint",
|
| 429 |
+
"419": "Band Aid",
|
| 430 |
+
"420": "banjo",
|
| 431 |
+
"421": "bannister",
|
| 432 |
+
"422": "barbell",
|
| 433 |
+
"423": "barber chair",
|
| 434 |
+
"424": "barbershop",
|
| 435 |
+
"425": "barn",
|
| 436 |
+
"426": "barometer",
|
| 437 |
+
"427": "barrel",
|
| 438 |
+
"428": "barrow",
|
| 439 |
+
"429": "baseball",
|
| 440 |
+
"430": "basketball",
|
| 441 |
+
"431": "bassinet",
|
| 442 |
+
"432": "bassoon",
|
| 443 |
+
"433": "bathing cap",
|
| 444 |
+
"434": "bath towel",
|
| 445 |
+
"435": "bathtub",
|
| 446 |
+
"436": "beach wagon",
|
| 447 |
+
"437": "beacon",
|
| 448 |
+
"438": "beaker",
|
| 449 |
+
"439": "bearskin",
|
| 450 |
+
"440": "beer bottle",
|
| 451 |
+
"441": "beer glass",
|
| 452 |
+
"442": "bell cote",
|
| 453 |
+
"443": "bib",
|
| 454 |
+
"444": "bicycle-built-for-two",
|
| 455 |
+
"445": "bikini",
|
| 456 |
+
"446": "binder",
|
| 457 |
+
"447": "binoculars",
|
| 458 |
+
"448": "birdhouse",
|
| 459 |
+
"449": "boathouse",
|
| 460 |
+
"450": "bobsled",
|
| 461 |
+
"451": "bolo tie",
|
| 462 |
+
"452": "bonnet",
|
| 463 |
+
"453": "bookcase",
|
| 464 |
+
"454": "bookshop",
|
| 465 |
+
"455": "bottlecap",
|
| 466 |
+
"456": "bow",
|
| 467 |
+
"457": "bow tie",
|
| 468 |
+
"458": "brass",
|
| 469 |
+
"459": "brassiere",
|
| 470 |
+
"460": "breakwater",
|
| 471 |
+
"461": "breastplate",
|
| 472 |
+
"462": "broom",
|
| 473 |
+
"463": "bucket",
|
| 474 |
+
"464": "buckle",
|
| 475 |
+
"465": "bulletproof vest",
|
| 476 |
+
"466": "bullet train",
|
| 477 |
+
"467": "butcher shop",
|
| 478 |
+
"468": "cab",
|
| 479 |
+
"469": "caldron",
|
| 480 |
+
"470": "candle",
|
| 481 |
+
"471": "cannon",
|
| 482 |
+
"472": "canoe",
|
| 483 |
+
"473": "can opener",
|
| 484 |
+
"474": "cardigan",
|
| 485 |
+
"475": "car mirror",
|
| 486 |
+
"476": "carousel",
|
| 487 |
+
"477": "carpenter's kit",
|
| 488 |
+
"478": "carton",
|
| 489 |
+
"479": "car wheel",
|
| 490 |
+
"480": "cash machine",
|
| 491 |
+
"481": "cassette",
|
| 492 |
+
"482": "cassette player",
|
| 493 |
+
"483": "castle",
|
| 494 |
+
"484": "catamaran",
|
| 495 |
+
"485": "CD player",
|
| 496 |
+
"486": "cello",
|
| 497 |
+
"487": "cellular telephone",
|
| 498 |
+
"488": "chain",
|
| 499 |
+
"489": "chainlink fence",
|
| 500 |
+
"490": "chain mail",
|
| 501 |
+
"491": "chain saw",
|
| 502 |
+
"492": "chest",
|
| 503 |
+
"493": "chiffonier",
|
| 504 |
+
"494": "chime",
|
| 505 |
+
"495": "china cabinet",
|
| 506 |
+
"496": "Christmas stocking",
|
| 507 |
+
"497": "church",
|
| 508 |
+
"498": "cinema",
|
| 509 |
+
"499": "cleaver",
|
| 510 |
+
"500": "cliff dwelling",
|
| 511 |
+
"501": "cloak",
|
| 512 |
+
"502": "clog",
|
| 513 |
+
"503": "cocktail shaker",
|
| 514 |
+
"504": "coffee mug",
|
| 515 |
+
"505": "coffeepot",
|
| 516 |
+
"506": "coil",
|
| 517 |
+
"507": "combination lock",
|
| 518 |
+
"508": "computer keyboard",
|
| 519 |
+
"509": "confectionery",
|
| 520 |
+
"510": "container ship",
|
| 521 |
+
"511": "convertible",
|
| 522 |
+
"512": "corkscrew",
|
| 523 |
+
"513": "cornet",
|
| 524 |
+
"514": "cowboy boot",
|
| 525 |
+
"515": "cowboy hat",
|
| 526 |
+
"516": "cradle",
|
| 527 |
+
"517": "crane",
|
| 528 |
+
"518": "crash helmet",
|
| 529 |
+
"519": "crate",
|
| 530 |
+
"520": "crib",
|
| 531 |
+
"521": "Crock Pot",
|
| 532 |
+
"522": "croquet ball",
|
| 533 |
+
"523": "crutch",
|
| 534 |
+
"524": "cuirass",
|
| 535 |
+
"525": "dam",
|
| 536 |
+
"526": "desk",
|
| 537 |
+
"527": "desktop computer",
|
| 538 |
+
"528": "dial telephone",
|
| 539 |
+
"529": "diaper",
|
| 540 |
+
"530": "digital clock",
|
| 541 |
+
"531": "digital watch",
|
| 542 |
+
"532": "dining table",
|
| 543 |
+
"533": "dishrag",
|
| 544 |
+
"534": "dishwasher",
|
| 545 |
+
"535": "disk brake",
|
| 546 |
+
"536": "dock",
|
| 547 |
+
"537": "dogsled",
|
| 548 |
+
"538": "dome",
|
| 549 |
+
"539": "doormat",
|
| 550 |
+
"540": "drilling platform",
|
| 551 |
+
"541": "drum",
|
| 552 |
+
"542": "drumstick",
|
| 553 |
+
"543": "dumbbell",
|
| 554 |
+
"544": "Dutch oven",
|
| 555 |
+
"545": "electric fan",
|
| 556 |
+
"546": "electric guitar",
|
| 557 |
+
"547": "electric locomotive",
|
| 558 |
+
"548": "entertainment center",
|
| 559 |
+
"549": "envelope",
|
| 560 |
+
"550": "espresso maker",
|
| 561 |
+
"551": "face powder",
|
| 562 |
+
"552": "feather boa",
|
| 563 |
+
"553": "file",
|
| 564 |
+
"554": "fireboat",
|
| 565 |
+
"555": "fire engine",
|
| 566 |
+
"556": "fire screen",
|
| 567 |
+
"557": "flagpole",
|
| 568 |
+
"558": "flute",
|
| 569 |
+
"559": "folding chair",
|
| 570 |
+
"560": "football helmet",
|
| 571 |
+
"561": "forklift",
|
| 572 |
+
"562": "fountain",
|
| 573 |
+
"563": "fountain pen",
|
| 574 |
+
"564": "four-poster",
|
| 575 |
+
"565": "freight car",
|
| 576 |
+
"566": "French horn",
|
| 577 |
+
"567": "frying pan",
|
| 578 |
+
"568": "fur coat",
|
| 579 |
+
"569": "garbage truck",
|
| 580 |
+
"570": "gasmask",
|
| 581 |
+
"571": "gas pump",
|
| 582 |
+
"572": "goblet",
|
| 583 |
+
"573": "go-kart",
|
| 584 |
+
"574": "golf ball",
|
| 585 |
+
"575": "golfcart",
|
| 586 |
+
"576": "gondola",
|
| 587 |
+
"577": "gong",
|
| 588 |
+
"578": "gown",
|
| 589 |
+
"579": "grand piano",
|
| 590 |
+
"580": "greenhouse",
|
| 591 |
+
"581": "grille",
|
| 592 |
+
"582": "grocery store",
|
| 593 |
+
"583": "guillotine",
|
| 594 |
+
"584": "hair slide",
|
| 595 |
+
"585": "hair spray",
|
| 596 |
+
"586": "half track",
|
| 597 |
+
"587": "hammer",
|
| 598 |
+
"588": "hamper",
|
| 599 |
+
"589": "hand blower",
|
| 600 |
+
"590": "hand-held computer",
|
| 601 |
+
"591": "handkerchief",
|
| 602 |
+
"592": "hard disc",
|
| 603 |
+
"593": "harmonica",
|
| 604 |
+
"594": "harp",
|
| 605 |
+
"595": "harvester",
|
| 606 |
+
"596": "hatchet",
|
| 607 |
+
"597": "holster",
|
| 608 |
+
"598": "home theater",
|
| 609 |
+
"599": "honeycomb",
|
| 610 |
+
"600": "hook",
|
| 611 |
+
"601": "hoopskirt",
|
| 612 |
+
"602": "horizontal bar",
|
| 613 |
+
"603": "horse cart",
|
| 614 |
+
"604": "hourglass",
|
| 615 |
+
"605": "iPod",
|
| 616 |
+
"606": "iron",
|
| 617 |
+
"607": "jack-o'-lantern",
|
| 618 |
+
"608": "jean",
|
| 619 |
+
"609": "jeep",
|
| 620 |
+
"610": "jersey",
|
| 621 |
+
"611": "jigsaw puzzle",
|
| 622 |
+
"612": "jinrikisha",
|
| 623 |
+
"613": "joystick",
|
| 624 |
+
"614": "kimono",
|
| 625 |
+
"615": "knee pad",
|
| 626 |
+
"616": "knot",
|
| 627 |
+
"617": "lab coat",
|
| 628 |
+
"618": "ladle",
|
| 629 |
+
"619": "lampshade",
|
| 630 |
+
"620": "laptop",
|
| 631 |
+
"621": "lawn mower",
|
| 632 |
+
"622": "lens cap",
|
| 633 |
+
"623": "letter opener",
|
| 634 |
+
"624": "library",
|
| 635 |
+
"625": "lifeboat",
|
| 636 |
+
"626": "lighter",
|
| 637 |
+
"627": "limousine",
|
| 638 |
+
"628": "liner",
|
| 639 |
+
"629": "lipstick",
|
| 640 |
+
"630": "Loafer",
|
| 641 |
+
"631": "lotion",
|
| 642 |
+
"632": "loudspeaker",
|
| 643 |
+
"633": "loupe",
|
| 644 |
+
"634": "lumbermill",
|
| 645 |
+
"635": "magnetic compass",
|
| 646 |
+
"636": "mailbag",
|
| 647 |
+
"637": "mailbox",
|
| 648 |
+
"638": "maillot",
|
| 649 |
+
"639": "maillot tank suit",
|
| 650 |
+
"640": "manhole cover",
|
| 651 |
+
"641": "maraca",
|
| 652 |
+
"642": "marimba",
|
| 653 |
+
"643": "mask",
|
| 654 |
+
"644": "matchstick",
|
| 655 |
+
"645": "maypole",
|
| 656 |
+
"646": "maze",
|
| 657 |
+
"647": "measuring cup",
|
| 658 |
+
"648": "medicine chest",
|
| 659 |
+
"649": "megalith",
|
| 660 |
+
"650": "microphone",
|
| 661 |
+
"651": "microwave",
|
| 662 |
+
"652": "military uniform",
|
| 663 |
+
"653": "milk can",
|
| 664 |
+
"654": "minibus",
|
| 665 |
+
"655": "miniskirt",
|
| 666 |
+
"656": "minivan",
|
| 667 |
+
"657": "missile",
|
| 668 |
+
"658": "mitten",
|
| 669 |
+
"659": "mixing bowl",
|
| 670 |
+
"660": "mobile home",
|
| 671 |
+
"661": "Model T",
|
| 672 |
+
"662": "modem",
|
| 673 |
+
"663": "monastery",
|
| 674 |
+
"664": "monitor",
|
| 675 |
+
"665": "moped",
|
| 676 |
+
"666": "mortar",
|
| 677 |
+
"667": "mortarboard",
|
| 678 |
+
"668": "mosque",
|
| 679 |
+
"669": "mosquito net",
|
| 680 |
+
"670": "motor scooter",
|
| 681 |
+
"671": "mountain bike",
|
| 682 |
+
"672": "mountain tent",
|
| 683 |
+
"673": "mouse",
|
| 684 |
+
"674": "mousetrap",
|
| 685 |
+
"675": "moving van",
|
| 686 |
+
"676": "muzzle",
|
| 687 |
+
"677": "nail",
|
| 688 |
+
"678": "neck brace",
|
| 689 |
+
"679": "necklace",
|
| 690 |
+
"680": "nipple",
|
| 691 |
+
"681": "notebook",
|
| 692 |
+
"682": "obelisk",
|
| 693 |
+
"683": "oboe",
|
| 694 |
+
"684": "ocarina",
|
| 695 |
+
"685": "odometer",
|
| 696 |
+
"686": "oil filter",
|
| 697 |
+
"687": "organ",
|
| 698 |
+
"688": "oscilloscope",
|
| 699 |
+
"689": "overskirt",
|
| 700 |
+
"690": "oxcart",
|
| 701 |
+
"691": "oxygen mask",
|
| 702 |
+
"692": "packet",
|
| 703 |
+
"693": "paddle",
|
| 704 |
+
"694": "paddlewheel",
|
| 705 |
+
"695": "padlock",
|
| 706 |
+
"696": "paintbrush",
|
| 707 |
+
"697": "pajama",
|
| 708 |
+
"698": "palace",
|
| 709 |
+
"699": "panpipe",
|
| 710 |
+
"700": "paper towel",
|
| 711 |
+
"701": "parachute",
|
| 712 |
+
"702": "parallel bars",
|
| 713 |
+
"703": "park bench",
|
| 714 |
+
"704": "parking meter",
|
| 715 |
+
"705": "passenger car",
|
| 716 |
+
"706": "patio",
|
| 717 |
+
"707": "pay-phone",
|
| 718 |
+
"708": "pedestal",
|
| 719 |
+
"709": "pencil box",
|
| 720 |
+
"710": "pencil sharpener",
|
| 721 |
+
"711": "perfume",
|
| 722 |
+
"712": "Petri dish",
|
| 723 |
+
"713": "photocopier",
|
| 724 |
+
"714": "pick",
|
| 725 |
+
"715": "pickelhaube",
|
| 726 |
+
"716": "picket fence",
|
| 727 |
+
"717": "pickup",
|
| 728 |
+
"718": "pier",
|
| 729 |
+
"719": "piggy bank",
|
| 730 |
+
"720": "pill bottle",
|
| 731 |
+
"721": "pillow",
|
| 732 |
+
"722": "ping-pong ball",
|
| 733 |
+
"723": "pinwheel",
|
| 734 |
+
"724": "pirate",
|
| 735 |
+
"725": "pitcher",
|
| 736 |
+
"726": "plane",
|
| 737 |
+
"727": "planetarium",
|
| 738 |
+
"728": "plastic bag",
|
| 739 |
+
"729": "plate rack",
|
| 740 |
+
"730": "plow",
|
| 741 |
+
"731": "plunger",
|
| 742 |
+
"732": "Polaroid camera",
|
| 743 |
+
"733": "pole",
|
| 744 |
+
"734": "police van",
|
| 745 |
+
"735": "poncho",
|
| 746 |
+
"736": "pool table",
|
| 747 |
+
"737": "pop bottle",
|
| 748 |
+
"738": "pot",
|
| 749 |
+
"739": "potter's wheel",
|
| 750 |
+
"740": "power drill",
|
| 751 |
+
"741": "prayer rug",
|
| 752 |
+
"742": "printer",
|
| 753 |
+
"743": "prison",
|
| 754 |
+
"744": "projectile",
|
| 755 |
+
"745": "projector",
|
| 756 |
+
"746": "puck",
|
| 757 |
+
"747": "punching bag",
|
| 758 |
+
"748": "purse",
|
| 759 |
+
"749": "quill",
|
| 760 |
+
"750": "quilt",
|
| 761 |
+
"751": "racer",
|
| 762 |
+
"752": "racket",
|
| 763 |
+
"753": "radiator",
|
| 764 |
+
"754": "radio",
|
| 765 |
+
"755": "radio telescope",
|
| 766 |
+
"756": "rain barrel",
|
| 767 |
+
"757": "recreational vehicle",
|
| 768 |
+
"758": "reel",
|
| 769 |
+
"759": "reflex camera",
|
| 770 |
+
"760": "refrigerator",
|
| 771 |
+
"761": "remote control",
|
| 772 |
+
"762": "restaurant",
|
| 773 |
+
"763": "revolver",
|
| 774 |
+
"764": "rifle",
|
| 775 |
+
"765": "rocking chair",
|
| 776 |
+
"766": "rotisserie",
|
| 777 |
+
"767": "rubber eraser",
|
| 778 |
+
"768": "rugby ball",
|
| 779 |
+
"769": "rule",
|
| 780 |
+
"770": "running shoe",
|
| 781 |
+
"771": "safe",
|
| 782 |
+
"772": "safety pin",
|
| 783 |
+
"773": "saltshaker",
|
| 784 |
+
"774": "sandal",
|
| 785 |
+
"775": "sarong",
|
| 786 |
+
"776": "sax",
|
| 787 |
+
"777": "scabbard",
|
| 788 |
+
"778": "scale",
|
| 789 |
+
"779": "school bus",
|
| 790 |
+
"780": "schooner",
|
| 791 |
+
"781": "scoreboard",
|
| 792 |
+
"782": "screen",
|
| 793 |
+
"783": "screw",
|
| 794 |
+
"784": "screwdriver",
|
| 795 |
+
"785": "seat belt",
|
| 796 |
+
"786": "sewing machine",
|
| 797 |
+
"787": "shield",
|
| 798 |
+
"788": "shoe shop",
|
| 799 |
+
"789": "shoji",
|
| 800 |
+
"790": "shopping basket",
|
| 801 |
+
"791": "shopping cart",
|
| 802 |
+
"792": "shovel",
|
| 803 |
+
"793": "shower cap",
|
| 804 |
+
"794": "shower curtain",
|
| 805 |
+
"795": "ski",
|
| 806 |
+
"796": "ski mask",
|
| 807 |
+
"797": "sleeping bag",
|
| 808 |
+
"798": "slide rule",
|
| 809 |
+
"799": "sliding door",
|
| 810 |
+
"800": "slot",
|
| 811 |
+
"801": "snorkel",
|
| 812 |
+
"802": "snowmobile",
|
| 813 |
+
"803": "snowplow",
|
| 814 |
+
"804": "soap dispenser",
|
| 815 |
+
"805": "soccer ball",
|
| 816 |
+
"806": "sock",
|
| 817 |
+
"807": "solar dish",
|
| 818 |
+
"808": "sombrero",
|
| 819 |
+
"809": "soup bowl",
|
| 820 |
+
"810": "space bar",
|
| 821 |
+
"811": "space heater",
|
| 822 |
+
"812": "space shuttle",
|
| 823 |
+
"813": "spatula",
|
| 824 |
+
"814": "speedboat",
|
| 825 |
+
"815": "spider web",
|
| 826 |
+
"816": "spindle",
|
| 827 |
+
"817": "sports car",
|
| 828 |
+
"818": "spotlight",
|
| 829 |
+
"819": "stage",
|
| 830 |
+
"820": "steam locomotive",
|
| 831 |
+
"821": "steel arch bridge",
|
| 832 |
+
"822": "steel drum",
|
| 833 |
+
"823": "stethoscope",
|
| 834 |
+
"824": "stole",
|
| 835 |
+
"825": "stone wall",
|
| 836 |
+
"826": "stopwatch",
|
| 837 |
+
"827": "stove",
|
| 838 |
+
"828": "strainer",
|
| 839 |
+
"829": "streetcar",
|
| 840 |
+
"830": "stretcher",
|
| 841 |
+
"831": "studio couch",
|
| 842 |
+
"832": "stupa",
|
| 843 |
+
"833": "submarine",
|
| 844 |
+
"834": "suit",
|
| 845 |
+
"835": "sundial",
|
| 846 |
+
"836": "sunglass",
|
| 847 |
+
"837": "sunglasses",
|
| 848 |
+
"838": "sunscreen",
|
| 849 |
+
"839": "suspension bridge",
|
| 850 |
+
"840": "swab",
|
| 851 |
+
"841": "sweatshirt",
|
| 852 |
+
"842": "swimming trunks",
|
| 853 |
+
"843": "swing",
|
| 854 |
+
"844": "switch",
|
| 855 |
+
"845": "syringe",
|
| 856 |
+
"846": "table lamp",
|
| 857 |
+
"847": "tank",
|
| 858 |
+
"848": "tape player",
|
| 859 |
+
"849": "teapot",
|
| 860 |
+
"850": "teddy",
|
| 861 |
+
"851": "television",
|
| 862 |
+
"852": "tennis ball",
|
| 863 |
+
"853": "thatch",
|
| 864 |
+
"854": "theater curtain",
|
| 865 |
+
"855": "thimble",
|
| 866 |
+
"856": "thresher",
|
| 867 |
+
"857": "throne",
|
| 868 |
+
"858": "tile roof",
|
| 869 |
+
"859": "toaster",
|
| 870 |
+
"860": "tobacco shop",
|
| 871 |
+
"861": "toilet seat",
|
| 872 |
+
"862": "torch",
|
| 873 |
+
"863": "totem pole",
|
| 874 |
+
"864": "tow truck",
|
| 875 |
+
"865": "toyshop",
|
| 876 |
+
"866": "tractor",
|
| 877 |
+
"867": "trailer truck",
|
| 878 |
+
"868": "tray",
|
| 879 |
+
"869": "trench coat",
|
| 880 |
+
"870": "tricycle",
|
| 881 |
+
"871": "trimaran",
|
| 882 |
+
"872": "tripod",
|
| 883 |
+
"873": "triumphal arch",
|
| 884 |
+
"874": "trolleybus",
|
| 885 |
+
"875": "trombone",
|
| 886 |
+
"876": "tub",
|
| 887 |
+
"877": "turnstile",
|
| 888 |
+
"878": "typewriter keyboard",
|
| 889 |
+
"879": "umbrella",
|
| 890 |
+
"880": "unicycle",
|
| 891 |
+
"881": "upright",
|
| 892 |
+
"882": "vacuum",
|
| 893 |
+
"883": "vase",
|
| 894 |
+
"884": "vault",
|
| 895 |
+
"885": "velvet",
|
| 896 |
+
"886": "vending machine",
|
| 897 |
+
"887": "vestment",
|
| 898 |
+
"888": "viaduct",
|
| 899 |
+
"889": "violin",
|
| 900 |
+
"890": "volleyball",
|
| 901 |
+
"891": "waffle iron",
|
| 902 |
+
"892": "wall clock",
|
| 903 |
+
"893": "wallet",
|
| 904 |
+
"894": "wardrobe",
|
| 905 |
+
"895": "warplane",
|
| 906 |
+
"896": "washbasin",
|
| 907 |
+
"897": "washer",
|
| 908 |
+
"898": "water bottle",
|
| 909 |
+
"899": "water jug",
|
| 910 |
+
"900": "water tower",
|
| 911 |
+
"901": "whiskey jug",
|
| 912 |
+
"902": "whistle",
|
| 913 |
+
"903": "wig",
|
| 914 |
+
"904": "window screen",
|
| 915 |
+
"905": "window shade",
|
| 916 |
+
"906": "Windsor tie",
|
| 917 |
+
"907": "wine bottle",
|
| 918 |
+
"908": "wing",
|
| 919 |
+
"909": "wok",
|
| 920 |
+
"910": "wooden spoon",
|
| 921 |
+
"911": "wool",
|
| 922 |
+
"912": "worm fence",
|
| 923 |
+
"913": "wreck",
|
| 924 |
+
"914": "yawl",
|
| 925 |
+
"915": "yurt",
|
| 926 |
+
"916": "web site",
|
| 927 |
+
"917": "comic book",
|
| 928 |
+
"918": "crossword puzzle",
|
| 929 |
+
"919": "street sign",
|
| 930 |
+
"920": "traffic light",
|
| 931 |
+
"921": "book jacket",
|
| 932 |
+
"922": "menu",
|
| 933 |
+
"923": "plate",
|
| 934 |
+
"924": "guacamole",
|
| 935 |
+
"925": "consomme",
|
| 936 |
+
"926": "hot pot",
|
| 937 |
+
"927": "trifle",
|
| 938 |
+
"928": "ice cream",
|
| 939 |
+
"929": "ice lolly",
|
| 940 |
+
"930": "French loaf",
|
| 941 |
+
"931": "bagel",
|
| 942 |
+
"932": "pretzel",
|
| 943 |
+
"933": "cheeseburger",
|
| 944 |
+
"934": "hotdog",
|
| 945 |
+
"935": "mashed potato",
|
| 946 |
+
"936": "head cabbage",
|
| 947 |
+
"937": "broccoli",
|
| 948 |
+
"938": "cauliflower",
|
| 949 |
+
"939": "zucchini",
|
| 950 |
+
"940": "spaghetti squash",
|
| 951 |
+
"941": "acorn squash",
|
| 952 |
+
"942": "butternut squash",
|
| 953 |
+
"943": "cucumber",
|
| 954 |
+
"944": "artichoke",
|
| 955 |
+
"945": "bell pepper",
|
| 956 |
+
"946": "cardoon",
|
| 957 |
+
"947": "mushroom",
|
| 958 |
+
"948": "Granny Smith",
|
| 959 |
+
"949": "strawberry",
|
| 960 |
+
"950": "orange",
|
| 961 |
+
"951": "lemon",
|
| 962 |
+
"952": "fig",
|
| 963 |
+
"953": "pineapple",
|
| 964 |
+
"954": "banana",
|
| 965 |
+
"955": "jackfruit",
|
| 966 |
+
"956": "custard apple",
|
| 967 |
+
"957": "pomegranate",
|
| 968 |
+
"958": "hay",
|
| 969 |
+
"959": "carbonara",
|
| 970 |
+
"960": "chocolate sauce",
|
| 971 |
+
"961": "dough",
|
| 972 |
+
"962": "meat loaf",
|
| 973 |
+
"963": "pizza",
|
| 974 |
+
"964": "potpie",
|
| 975 |
+
"965": "burrito",
|
| 976 |
+
"966": "red wine",
|
| 977 |
+
"967": "espresso",
|
| 978 |
+
"968": "cup",
|
| 979 |
+
"969": "eggnog",
|
| 980 |
+
"970": "alp",
|
| 981 |
+
"971": "bubble",
|
| 982 |
+
"972": "cliff",
|
| 983 |
+
"973": "coral reef",
|
| 984 |
+
"974": "geyser",
|
| 985 |
+
"975": "lakeside",
|
| 986 |
+
"976": "promontory",
|
| 987 |
+
"977": "sandbar",
|
| 988 |
+
"978": "seashore",
|
| 989 |
+
"979": "valley",
|
| 990 |
+
"980": "volcano",
|
| 991 |
+
"981": "ballplayer",
|
| 992 |
+
"982": "groom",
|
| 993 |
+
"983": "scuba diver",
|
| 994 |
+
"984": "rapeseed",
|
| 995 |
+
"985": "daisy",
|
| 996 |
+
"986": "yellow lady's slipper",
|
| 997 |
+
"987": "corn",
|
| 998 |
+
"988": "acorn",
|
| 999 |
+
"989": "hip",
|
| 1000 |
+
"990": "buckeye",
|
| 1001 |
+
"991": "coral fungus",
|
| 1002 |
+
"992": "agaric",
|
| 1003 |
+
"993": "gyromitra",
|
| 1004 |
+
"994": "stinkhorn",
|
| 1005 |
+
"995": "earthstar",
|
| 1006 |
+
"996": "hen-of-the-woods",
|
| 1007 |
+
"997": "bolete",
|
| 1008 |
+
"998": "ear",
|
| 1009 |
+
"999": "toilet tissue"
|
| 1010 |
+
},
|
| 1011 |
+
"input_channels": 3,
|
| 1012 |
+
"label2id": {
|
| 1013 |
+
"Afghan hound": 160,
|
| 1014 |
+
"African chameleon": 47,
|
| 1015 |
+
"African crocodile": 49,
|
| 1016 |
+
"African elephant": 386,
|
| 1017 |
+
"African grey": 87,
|
| 1018 |
+
"African hunting dog": 275,
|
| 1019 |
+
"Airedale": 191,
|
| 1020 |
+
"American Staffordshire terrier": 180,
|
| 1021 |
+
"American alligator": 50,
|
| 1022 |
+
"American black bear": 295,
|
| 1023 |
+
"American chameleon": 40,
|
| 1024 |
+
"American coot": 137,
|
| 1025 |
+
"American egret": 132,
|
| 1026 |
+
"American lobster": 122,
|
| 1027 |
+
"Angora": 332,
|
| 1028 |
+
"Appenzeller": 240,
|
| 1029 |
+
"Arabian camel": 354,
|
| 1030 |
+
"Arctic fox": 279,
|
| 1031 |
+
"Australian terrier": 193,
|
| 1032 |
+
"Band Aid": 419,
|
| 1033 |
+
"Bedlington terrier": 181,
|
| 1034 |
+
"Bernese mountain dog": 239,
|
| 1035 |
+
"Blenheim spaniel": 156,
|
| 1036 |
+
"Border collie": 232,
|
| 1037 |
+
"Border terrier": 182,
|
| 1038 |
+
"Boston bull": 195,
|
| 1039 |
+
"Bouvier des Flandres": 233,
|
| 1040 |
+
"Brabancon griffon": 262,
|
| 1041 |
+
"Brittany spaniel": 215,
|
| 1042 |
+
"CD player": 485,
|
| 1043 |
+
"Cardigan": 264,
|
| 1044 |
+
"Chesapeake Bay retriever": 209,
|
| 1045 |
+
"Chihuahua": 151,
|
| 1046 |
+
"Christmas stocking": 496,
|
| 1047 |
+
"Crock Pot": 521,
|
| 1048 |
+
"Dandie Dinmont": 194,
|
| 1049 |
+
"Doberman": 236,
|
| 1050 |
+
"Dungeness crab": 118,
|
| 1051 |
+
"Dutch oven": 544,
|
| 1052 |
+
"Egyptian cat": 285,
|
| 1053 |
+
"English foxhound": 167,
|
| 1054 |
+
"English setter": 212,
|
| 1055 |
+
"English springer": 217,
|
| 1056 |
+
"EntleBucher": 241,
|
| 1057 |
+
"Eskimo dog": 248,
|
| 1058 |
+
"European fire salamander": 25,
|
| 1059 |
+
"European gallinule": 136,
|
| 1060 |
+
"French bulldog": 245,
|
| 1061 |
+
"French horn": 566,
|
| 1062 |
+
"French loaf": 930,
|
| 1063 |
+
"German shepherd": 235,
|
| 1064 |
+
"German short-haired pointer": 210,
|
| 1065 |
+
"Gila monster": 45,
|
| 1066 |
+
"Gordon setter": 214,
|
| 1067 |
+
"Granny Smith": 948,
|
| 1068 |
+
"Great Dane": 246,
|
| 1069 |
+
"Great Pyrenees": 257,
|
| 1070 |
+
"Greater Swiss Mountain dog": 238,
|
| 1071 |
+
"Ibizan hound": 173,
|
| 1072 |
+
"Indian cobra": 63,
|
| 1073 |
+
"Indian elephant": 385,
|
| 1074 |
+
"Irish setter": 213,
|
| 1075 |
+
"Irish terrier": 184,
|
| 1076 |
+
"Irish water spaniel": 221,
|
| 1077 |
+
"Irish wolfhound": 170,
|
| 1078 |
+
"Italian greyhound": 171,
|
| 1079 |
+
"Japanese spaniel": 152,
|
| 1080 |
+
"Kerry blue terrier": 183,
|
| 1081 |
+
"Komodo dragon": 48,
|
| 1082 |
+
"Labrador retriever": 208,
|
| 1083 |
+
"Lakeland terrier": 189,
|
| 1084 |
+
"Leonberg": 255,
|
| 1085 |
+
"Lhasa": 204,
|
| 1086 |
+
"Loafer": 630,
|
| 1087 |
+
"Madagascar cat": 383,
|
| 1088 |
+
"Maltese dog": 153,
|
| 1089 |
+
"Mexican hairless": 268,
|
| 1090 |
+
"Model T": 661,
|
| 1091 |
+
"Newfoundland": 256,
|
| 1092 |
+
"Norfolk terrier": 185,
|
| 1093 |
+
"Norwegian elkhound": 174,
|
| 1094 |
+
"Norwich terrier": 186,
|
| 1095 |
+
"Old English sheepdog": 229,
|
| 1096 |
+
"Pekinese": 154,
|
| 1097 |
+
"Pembroke": 263,
|
| 1098 |
+
"Persian cat": 283,
|
| 1099 |
+
"Petri dish": 712,
|
| 1100 |
+
"Polaroid camera": 732,
|
| 1101 |
+
"Pomeranian": 259,
|
| 1102 |
+
"Rhodesian ridgeback": 159,
|
| 1103 |
+
"Rottweiler": 234,
|
| 1104 |
+
"Saint Bernard": 247,
|
| 1105 |
+
"Saluki": 176,
|
| 1106 |
+
"Samoyed": 258,
|
| 1107 |
+
"Scotch terrier": 199,
|
| 1108 |
+
"Scottish deerhound": 177,
|
| 1109 |
+
"Sealyham terrier": 190,
|
| 1110 |
+
"Shetland sheepdog": 230,
|
| 1111 |
+
"Shih-Tzu": 155,
|
| 1112 |
+
"Siamese cat": 284,
|
| 1113 |
+
"Siberian husky": 250,
|
| 1114 |
+
"Staffordshire bullterrier": 179,
|
| 1115 |
+
"Sussex spaniel": 220,
|
| 1116 |
+
"Tibetan mastiff": 244,
|
| 1117 |
+
"Tibetan terrier": 200,
|
| 1118 |
+
"Walker hound": 166,
|
| 1119 |
+
"Weimaraner": 178,
|
| 1120 |
+
"Welsh springer spaniel": 218,
|
| 1121 |
+
"West Highland white terrier": 203,
|
| 1122 |
+
"Windsor tie": 906,
|
| 1123 |
+
"Yorkshire terrier": 187,
|
| 1124 |
+
"abacus": 398,
|
| 1125 |
+
"abaya": 399,
|
| 1126 |
+
"academic gown": 400,
|
| 1127 |
+
"accordion": 401,
|
| 1128 |
+
"acorn": 988,
|
| 1129 |
+
"acorn squash": 941,
|
| 1130 |
+
"acoustic guitar": 402,
|
| 1131 |
+
"admiral": 321,
|
| 1132 |
+
"affenpinscher": 252,
|
| 1133 |
+
"agama": 42,
|
| 1134 |
+
"agaric": 992,
|
| 1135 |
+
"aircraft carrier": 403,
|
| 1136 |
+
"airliner": 404,
|
| 1137 |
+
"airship": 405,
|
| 1138 |
+
"albatross": 146,
|
| 1139 |
+
"alligator lizard": 44,
|
| 1140 |
+
"alp": 970,
|
| 1141 |
+
"altar": 406,
|
| 1142 |
+
"ambulance": 407,
|
| 1143 |
+
"amphibian": 408,
|
| 1144 |
+
"analog clock": 409,
|
| 1145 |
+
"anemone fish": 393,
|
| 1146 |
+
"ant": 310,
|
| 1147 |
+
"apiary": 410,
|
| 1148 |
+
"apron": 411,
|
| 1149 |
+
"armadillo": 363,
|
| 1150 |
+
"artichoke": 944,
|
| 1151 |
+
"ashcan": 412,
|
| 1152 |
+
"assault rifle": 413,
|
| 1153 |
+
"axolotl": 29,
|
| 1154 |
+
"baboon": 372,
|
| 1155 |
+
"backpack": 414,
|
| 1156 |
+
"badger": 362,
|
| 1157 |
+
"bagel": 931,
|
| 1158 |
+
"bakery": 415,
|
| 1159 |
+
"balance beam": 416,
|
| 1160 |
+
"bald eagle": 22,
|
| 1161 |
+
"balloon": 417,
|
| 1162 |
+
"ballplayer": 981,
|
| 1163 |
+
"ballpoint": 418,
|
| 1164 |
+
"banana": 954,
|
| 1165 |
+
"banded gecko": 38,
|
| 1166 |
+
"banjo": 420,
|
| 1167 |
+
"bannister": 421,
|
| 1168 |
+
"barbell": 422,
|
| 1169 |
+
"barber chair": 423,
|
| 1170 |
+
"barbershop": 424,
|
| 1171 |
+
"barn": 425,
|
| 1172 |
+
"barn spider": 73,
|
| 1173 |
+
"barometer": 426,
|
| 1174 |
+
"barracouta": 389,
|
| 1175 |
+
"barrel": 427,
|
| 1176 |
+
"barrow": 428,
|
| 1177 |
+
"baseball": 429,
|
| 1178 |
+
"basenji": 253,
|
| 1179 |
+
"basketball": 430,
|
| 1180 |
+
"basset": 161,
|
| 1181 |
+
"bassinet": 431,
|
| 1182 |
+
"bassoon": 432,
|
| 1183 |
+
"bath towel": 434,
|
| 1184 |
+
"bathing cap": 433,
|
| 1185 |
+
"bathtub": 435,
|
| 1186 |
+
"beach wagon": 436,
|
| 1187 |
+
"beacon": 437,
|
| 1188 |
+
"beagle": 162,
|
| 1189 |
+
"beaker": 438,
|
| 1190 |
+
"bearskin": 439,
|
| 1191 |
+
"beaver": 337,
|
| 1192 |
+
"bee": 309,
|
| 1193 |
+
"bee eater": 92,
|
| 1194 |
+
"beer bottle": 440,
|
| 1195 |
+
"beer glass": 441,
|
| 1196 |
+
"bell cote": 442,
|
| 1197 |
+
"bell pepper": 945,
|
| 1198 |
+
"bib": 443,
|
| 1199 |
+
"bicycle-built-for-two": 444,
|
| 1200 |
+
"bighorn": 349,
|
| 1201 |
+
"bikini": 445,
|
| 1202 |
+
"binder": 446,
|
| 1203 |
+
"binoculars": 447,
|
| 1204 |
+
"birdhouse": 448,
|
| 1205 |
+
"bison": 347,
|
| 1206 |
+
"bittern": 133,
|
| 1207 |
+
"black and gold garden spider": 72,
|
| 1208 |
+
"black grouse": 80,
|
| 1209 |
+
"black stork": 128,
|
| 1210 |
+
"black swan": 100,
|
| 1211 |
+
"black widow": 75,
|
| 1212 |
+
"black-and-tan coonhound": 165,
|
| 1213 |
+
"black-footed ferret": 359,
|
| 1214 |
+
"bloodhound": 163,
|
| 1215 |
+
"bluetick": 164,
|
| 1216 |
+
"boa constrictor": 61,
|
| 1217 |
+
"boathouse": 449,
|
| 1218 |
+
"bobsled": 450,
|
| 1219 |
+
"bolete": 997,
|
| 1220 |
+
"bolo tie": 451,
|
| 1221 |
+
"bonnet": 452,
|
| 1222 |
+
"book jacket": 921,
|
| 1223 |
+
"bookcase": 453,
|
| 1224 |
+
"bookshop": 454,
|
| 1225 |
+
"borzoi": 169,
|
| 1226 |
+
"bottlecap": 455,
|
| 1227 |
+
"bow": 456,
|
| 1228 |
+
"bow tie": 457,
|
| 1229 |
+
"box turtle": 37,
|
| 1230 |
+
"boxer": 242,
|
| 1231 |
+
"brain coral": 109,
|
| 1232 |
+
"brambling": 10,
|
| 1233 |
+
"brass": 458,
|
| 1234 |
+
"brassiere": 459,
|
| 1235 |
+
"breakwater": 460,
|
| 1236 |
+
"breastplate": 461,
|
| 1237 |
+
"briard": 226,
|
| 1238 |
+
"broccoli": 937,
|
| 1239 |
+
"broom": 462,
|
| 1240 |
+
"brown bear": 294,
|
| 1241 |
+
"bubble": 971,
|
| 1242 |
+
"bucket": 463,
|
| 1243 |
+
"buckeye": 990,
|
| 1244 |
+
"buckle": 464,
|
| 1245 |
+
"bulbul": 16,
|
| 1246 |
+
"bull mastiff": 243,
|
| 1247 |
+
"bullet train": 466,
|
| 1248 |
+
"bulletproof vest": 465,
|
| 1249 |
+
"bullfrog": 30,
|
| 1250 |
+
"burrito": 965,
|
| 1251 |
+
"bustard": 138,
|
| 1252 |
+
"butcher shop": 467,
|
| 1253 |
+
"butternut squash": 942,
|
| 1254 |
+
"cab": 468,
|
| 1255 |
+
"cabbage butterfly": 324,
|
| 1256 |
+
"cairn": 192,
|
| 1257 |
+
"caldron": 469,
|
| 1258 |
+
"can opener": 473,
|
| 1259 |
+
"candle": 470,
|
| 1260 |
+
"cannon": 471,
|
| 1261 |
+
"canoe": 472,
|
| 1262 |
+
"capuchin": 378,
|
| 1263 |
+
"car mirror": 475,
|
| 1264 |
+
"car wheel": 479,
|
| 1265 |
+
"carbonara": 959,
|
| 1266 |
+
"cardigan": 474,
|
| 1267 |
+
"cardoon": 946,
|
| 1268 |
+
"carousel": 476,
|
| 1269 |
+
"carpenter's kit": 477,
|
| 1270 |
+
"carton": 478,
|
| 1271 |
+
"cash machine": 480,
|
| 1272 |
+
"cassette": 481,
|
| 1273 |
+
"cassette player": 482,
|
| 1274 |
+
"castle": 483,
|
| 1275 |
+
"catamaran": 484,
|
| 1276 |
+
"cauliflower": 938,
|
| 1277 |
+
"cello": 486,
|
| 1278 |
+
"cellular telephone": 487,
|
| 1279 |
+
"centipede": 79,
|
| 1280 |
+
"chain": 488,
|
| 1281 |
+
"chain mail": 490,
|
| 1282 |
+
"chain saw": 491,
|
| 1283 |
+
"chainlink fence": 489,
|
| 1284 |
+
"chambered nautilus": 117,
|
| 1285 |
+
"cheeseburger": 933,
|
| 1286 |
+
"cheetah": 293,
|
| 1287 |
+
"chest": 492,
|
| 1288 |
+
"chickadee": 19,
|
| 1289 |
+
"chiffonier": 493,
|
| 1290 |
+
"chime": 494,
|
| 1291 |
+
"chimpanzee": 367,
|
| 1292 |
+
"china cabinet": 495,
|
| 1293 |
+
"chiton": 116,
|
| 1294 |
+
"chocolate sauce": 960,
|
| 1295 |
+
"chow": 260,
|
| 1296 |
+
"church": 497,
|
| 1297 |
+
"cicada": 316,
|
| 1298 |
+
"cinema": 498,
|
| 1299 |
+
"cleaver": 499,
|
| 1300 |
+
"cliff": 972,
|
| 1301 |
+
"cliff dwelling": 500,
|
| 1302 |
+
"cloak": 501,
|
| 1303 |
+
"clog": 502,
|
| 1304 |
+
"clumber": 216,
|
| 1305 |
+
"cock": 7,
|
| 1306 |
+
"cocker spaniel": 219,
|
| 1307 |
+
"cockroach": 314,
|
| 1308 |
+
"cocktail shaker": 503,
|
| 1309 |
+
"coffee mug": 504,
|
| 1310 |
+
"coffeepot": 505,
|
| 1311 |
+
"coho": 391,
|
| 1312 |
+
"coil": 506,
|
| 1313 |
+
"collie": 231,
|
| 1314 |
+
"colobus": 375,
|
| 1315 |
+
"combination lock": 507,
|
| 1316 |
+
"comic book": 917,
|
| 1317 |
+
"common iguana": 39,
|
| 1318 |
+
"common newt": 26,
|
| 1319 |
+
"computer keyboard": 508,
|
| 1320 |
+
"conch": 112,
|
| 1321 |
+
"confectionery": 509,
|
| 1322 |
+
"consomme": 925,
|
| 1323 |
+
"container ship": 510,
|
| 1324 |
+
"convertible": 511,
|
| 1325 |
+
"coral fungus": 991,
|
| 1326 |
+
"coral reef": 973,
|
| 1327 |
+
"corkscrew": 512,
|
| 1328 |
+
"corn": 987,
|
| 1329 |
+
"cornet": 513,
|
| 1330 |
+
"coucal": 91,
|
| 1331 |
+
"cougar": 286,
|
| 1332 |
+
"cowboy boot": 514,
|
| 1333 |
+
"cowboy hat": 515,
|
| 1334 |
+
"coyote": 272,
|
| 1335 |
+
"cradle": 516,
|
| 1336 |
+
"crane": 517,
|
| 1337 |
+
"crane bird": 134,
|
| 1338 |
+
"crash helmet": 518,
|
| 1339 |
+
"crate": 519,
|
| 1340 |
+
"crayfish": 124,
|
| 1341 |
+
"crib": 520,
|
| 1342 |
+
"cricket": 312,
|
| 1343 |
+
"croquet ball": 522,
|
| 1344 |
+
"crossword puzzle": 918,
|
| 1345 |
+
"crutch": 523,
|
| 1346 |
+
"cucumber": 943,
|
| 1347 |
+
"cuirass": 524,
|
| 1348 |
+
"cup": 968,
|
| 1349 |
+
"curly-coated retriever": 206,
|
| 1350 |
+
"custard apple": 956,
|
| 1351 |
+
"daisy": 985,
|
| 1352 |
+
"dalmatian": 251,
|
| 1353 |
+
"dam": 525,
|
| 1354 |
+
"damselfly": 320,
|
| 1355 |
+
"desk": 526,
|
| 1356 |
+
"desktop computer": 527,
|
| 1357 |
+
"dhole": 274,
|
| 1358 |
+
"dial telephone": 528,
|
| 1359 |
+
"diamondback": 67,
|
| 1360 |
+
"diaper": 529,
|
| 1361 |
+
"digital clock": 530,
|
| 1362 |
+
"digital watch": 531,
|
| 1363 |
+
"dingo": 273,
|
| 1364 |
+
"dining table": 532,
|
| 1365 |
+
"dishrag": 533,
|
| 1366 |
+
"dishwasher": 534,
|
| 1367 |
+
"disk brake": 535,
|
| 1368 |
+
"dock": 536,
|
| 1369 |
+
"dogsled": 537,
|
| 1370 |
+
"dome": 538,
|
| 1371 |
+
"doormat": 539,
|
| 1372 |
+
"dough": 961,
|
| 1373 |
+
"dowitcher": 142,
|
| 1374 |
+
"dragonfly": 319,
|
| 1375 |
+
"drake": 97,
|
| 1376 |
+
"drilling platform": 540,
|
| 1377 |
+
"drum": 541,
|
| 1378 |
+
"drumstick": 542,
|
| 1379 |
+
"dugong": 149,
|
| 1380 |
+
"dumbbell": 543,
|
| 1381 |
+
"dung beetle": 305,
|
| 1382 |
+
"ear": 998,
|
| 1383 |
+
"earthstar": 995,
|
| 1384 |
+
"echidna": 102,
|
| 1385 |
+
"eel": 390,
|
| 1386 |
+
"eft": 27,
|
| 1387 |
+
"eggnog": 969,
|
| 1388 |
+
"electric fan": 545,
|
| 1389 |
+
"electric guitar": 546,
|
| 1390 |
+
"electric locomotive": 547,
|
| 1391 |
+
"electric ray": 5,
|
| 1392 |
+
"entertainment center": 548,
|
| 1393 |
+
"envelope": 549,
|
| 1394 |
+
"espresso": 967,
|
| 1395 |
+
"espresso maker": 550,
|
| 1396 |
+
"face powder": 551,
|
| 1397 |
+
"feather boa": 552,
|
| 1398 |
+
"fiddler crab": 120,
|
| 1399 |
+
"fig": 952,
|
| 1400 |
+
"file": 553,
|
| 1401 |
+
"fire engine": 555,
|
| 1402 |
+
"fire screen": 556,
|
| 1403 |
+
"fireboat": 554,
|
| 1404 |
+
"flagpole": 557,
|
| 1405 |
+
"flamingo": 130,
|
| 1406 |
+
"flat-coated retriever": 205,
|
| 1407 |
+
"flatworm": 110,
|
| 1408 |
+
"flute": 558,
|
| 1409 |
+
"fly": 308,
|
| 1410 |
+
"folding chair": 559,
|
| 1411 |
+
"football helmet": 560,
|
| 1412 |
+
"forklift": 561,
|
| 1413 |
+
"fountain": 562,
|
| 1414 |
+
"fountain pen": 563,
|
| 1415 |
+
"four-poster": 564,
|
| 1416 |
+
"fox squirrel": 335,
|
| 1417 |
+
"freight car": 565,
|
| 1418 |
+
"frilled lizard": 43,
|
| 1419 |
+
"frying pan": 567,
|
| 1420 |
+
"fur coat": 568,
|
| 1421 |
+
"gar": 395,
|
| 1422 |
+
"garbage truck": 569,
|
| 1423 |
+
"garden spider": 74,
|
| 1424 |
+
"garter snake": 57,
|
| 1425 |
+
"gas pump": 571,
|
| 1426 |
+
"gasmask": 570,
|
| 1427 |
+
"gazelle": 353,
|
| 1428 |
+
"geyser": 974,
|
| 1429 |
+
"giant panda": 388,
|
| 1430 |
+
"giant schnauzer": 197,
|
| 1431 |
+
"gibbon": 368,
|
| 1432 |
+
"go-kart": 573,
|
| 1433 |
+
"goblet": 572,
|
| 1434 |
+
"golden retriever": 207,
|
| 1435 |
+
"goldfinch": 11,
|
| 1436 |
+
"goldfish": 1,
|
| 1437 |
+
"golf ball": 574,
|
| 1438 |
+
"golfcart": 575,
|
| 1439 |
+
"gondola": 576,
|
| 1440 |
+
"gong": 577,
|
| 1441 |
+
"goose": 99,
|
| 1442 |
+
"gorilla": 366,
|
| 1443 |
+
"gown": 578,
|
| 1444 |
+
"grand piano": 579,
|
| 1445 |
+
"grasshopper": 311,
|
| 1446 |
+
"great grey owl": 24,
|
| 1447 |
+
"great white shark": 2,
|
| 1448 |
+
"green lizard": 46,
|
| 1449 |
+
"green mamba": 64,
|
| 1450 |
+
"green snake": 55,
|
| 1451 |
+
"greenhouse": 580,
|
| 1452 |
+
"grey fox": 280,
|
| 1453 |
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| 1455 |
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| 1457 |
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| 1458 |
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| 1459 |
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| 1460 |
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| 1461 |
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| 1462 |
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| 1463 |
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| 1466 |
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| 1467 |
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| 1469 |
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| 1471 |
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| 1473 |
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| 1476 |
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| 1477 |
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| 1478 |
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| 1479 |
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| 1490 |
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| 1512 |
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| 1535 |
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| 1537 |
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| 1538 |
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| 1542 |
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| 1543 |
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| 1545 |
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| 1546 |
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| 1547 |
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| 1548 |
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| 1552 |
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| 1559 |
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| 1567 |
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| 1568 |
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| 1569 |
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| 1571 |
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| 1572 |
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| 1583 |
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| 1590 |
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| 1591 |
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| 1612 |
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| 1626 |
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| 1629 |
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| 1641 |
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| 1644 |
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| 1645 |
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| 1646 |
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| 1647 |
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| 1648 |
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| 1649 |
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| 1653 |
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| 1654 |
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| 1655 |
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| 1656 |
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| 1657 |
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| 1658 |
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| 1659 |
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| 1660 |
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| 1661 |
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| 1662 |
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| 1663 |
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| 1664 |
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| 1665 |
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| 1666 |
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| 1667 |
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| 1668 |
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| 1669 |
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| 1670 |
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| 1671 |
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| 1672 |
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| 1673 |
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| 1674 |
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| 1675 |
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| 1676 |
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| 1677 |
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| 1678 |
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| 1679 |
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| 1680 |
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| 1681 |
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| 1682 |
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| 1683 |
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| 1684 |
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| 1685 |
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| 1686 |
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| 1687 |
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| 1688 |
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| 1689 |
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| 1690 |
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| 1691 |
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| 1692 |
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| 1693 |
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| 1696 |
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| 1697 |
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| 1699 |
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| 1700 |
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| 1701 |
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| 1703 |
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| 1704 |
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| 1705 |
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| 1706 |
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| 1707 |
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| 1708 |
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| 1709 |
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| 1710 |
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| 1711 |
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| 1712 |
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| 1713 |
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| 1714 |
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| 1715 |
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| 1716 |
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| 1717 |
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| 1718 |
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| 1719 |
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| 1720 |
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| 1721 |
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| 1722 |
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| 1723 |
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| 1724 |
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| 1725 |
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| 1726 |
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| 1727 |
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| 1728 |
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| 1729 |
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| 1730 |
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| 1731 |
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| 1732 |
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| 1733 |
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| 1734 |
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| 1735 |
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| 1736 |
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| 1737 |
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| 1738 |
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| 1739 |
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| 1740 |
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| 1741 |
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| 1742 |
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| 1743 |
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| 1744 |
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| 1745 |
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| 1747 |
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| 1748 |
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| 1749 |
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| 1750 |
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| 1751 |
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| 1752 |
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| 1753 |
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| 1754 |
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| 1755 |
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| 1756 |
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| 1757 |
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| 1758 |
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| 1759 |
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| 1760 |
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| 1761 |
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| 1762 |
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| 1763 |
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| 1764 |
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| 1765 |
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| 1766 |
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| 1767 |
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| 1768 |
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| 1769 |
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| 1770 |
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| 1771 |
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| 1772 |
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| 1773 |
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| 1774 |
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| 1775 |
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| 1776 |
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| 1777 |
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| 1778 |
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| 1779 |
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| 1780 |
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| 1781 |
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| 1782 |
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| 1783 |
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| 1784 |
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| 1785 |
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| 1786 |
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| 1787 |
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| 1788 |
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| 1789 |
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| 1790 |
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| 1791 |
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| 1792 |
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| 1793 |
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| 1794 |
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| 1795 |
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| 1796 |
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| 1797 |
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|
| 1798 |
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| 1799 |
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| 1800 |
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| 1801 |
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| 1802 |
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| 1803 |
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| 1804 |
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| 1805 |
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|
| 1806 |
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| 1807 |
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| 1808 |
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| 1809 |
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| 1810 |
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| 1811 |
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| 1812 |
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| 1813 |
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| 1814 |
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| 1815 |
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| 1816 |
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| 1817 |
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| 1818 |
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| 1819 |
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| 1820 |
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| 1821 |
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|
| 1822 |
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|
| 1823 |
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|
| 1824 |
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|
| 1825 |
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|
| 1826 |
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| 1827 |
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| 1828 |
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|
| 1829 |
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|
| 1830 |
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|
| 1831 |
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|
| 1832 |
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|
| 1833 |
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|
| 1834 |
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| 1835 |
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|
| 1836 |
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|
| 1837 |
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|
| 1838 |
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|
| 1839 |
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|
| 1840 |
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|
| 1841 |
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|
| 1842 |
+
"space bar": 810,
|
| 1843 |
+
"space heater": 811,
|
| 1844 |
+
"space shuttle": 812,
|
| 1845 |
+
"spaghetti squash": 940,
|
| 1846 |
+
"spatula": 813,
|
| 1847 |
+
"speedboat": 814,
|
| 1848 |
+
"spider monkey": 381,
|
| 1849 |
+
"spider web": 815,
|
| 1850 |
+
"spindle": 816,
|
| 1851 |
+
"spiny lobster": 123,
|
| 1852 |
+
"spoonbill": 129,
|
| 1853 |
+
"sports car": 817,
|
| 1854 |
+
"spotlight": 818,
|
| 1855 |
+
"spotted salamander": 28,
|
| 1856 |
+
"squirrel monkey": 382,
|
| 1857 |
+
"stage": 819,
|
| 1858 |
+
"standard poodle": 267,
|
| 1859 |
+
"standard schnauzer": 198,
|
| 1860 |
+
"starfish": 327,
|
| 1861 |
+
"steam locomotive": 820,
|
| 1862 |
+
"steel arch bridge": 821,
|
| 1863 |
+
"steel drum": 822,
|
| 1864 |
+
"stethoscope": 823,
|
| 1865 |
+
"stingray": 6,
|
| 1866 |
+
"stinkhorn": 994,
|
| 1867 |
+
"stole": 824,
|
| 1868 |
+
"stone wall": 825,
|
| 1869 |
+
"stopwatch": 826,
|
| 1870 |
+
"stove": 827,
|
| 1871 |
+
"strainer": 828,
|
| 1872 |
+
"strawberry": 949,
|
| 1873 |
+
"street sign": 919,
|
| 1874 |
+
"streetcar": 829,
|
| 1875 |
+
"stretcher": 830,
|
| 1876 |
+
"studio couch": 831,
|
| 1877 |
+
"stupa": 832,
|
| 1878 |
+
"sturgeon": 394,
|
| 1879 |
+
"submarine": 833,
|
| 1880 |
+
"suit": 834,
|
| 1881 |
+
"sulphur butterfly": 325,
|
| 1882 |
+
"sulphur-crested cockatoo": 89,
|
| 1883 |
+
"sundial": 835,
|
| 1884 |
+
"sunglass": 836,
|
| 1885 |
+
"sunglasses": 837,
|
| 1886 |
+
"sunscreen": 838,
|
| 1887 |
+
"suspension bridge": 839,
|
| 1888 |
+
"swab": 840,
|
| 1889 |
+
"sweatshirt": 841,
|
| 1890 |
+
"swimming trunks": 842,
|
| 1891 |
+
"swing": 843,
|
| 1892 |
+
"switch": 844,
|
| 1893 |
+
"syringe": 845,
|
| 1894 |
+
"tabby": 281,
|
| 1895 |
+
"table lamp": 846,
|
| 1896 |
+
"tailed frog": 32,
|
| 1897 |
+
"tank": 847,
|
| 1898 |
+
"tape player": 848,
|
| 1899 |
+
"tarantula": 76,
|
| 1900 |
+
"teapot": 849,
|
| 1901 |
+
"teddy": 850,
|
| 1902 |
+
"television": 851,
|
| 1903 |
+
"tench": 0,
|
| 1904 |
+
"tennis ball": 852,
|
| 1905 |
+
"terrapin": 36,
|
| 1906 |
+
"thatch": 853,
|
| 1907 |
+
"theater curtain": 854,
|
| 1908 |
+
"thimble": 855,
|
| 1909 |
+
"three-toed sloth": 364,
|
| 1910 |
+
"thresher": 856,
|
| 1911 |
+
"throne": 857,
|
| 1912 |
+
"thunder snake": 52,
|
| 1913 |
+
"tick": 78,
|
| 1914 |
+
"tiger": 292,
|
| 1915 |
+
"tiger beetle": 300,
|
| 1916 |
+
"tiger cat": 282,
|
| 1917 |
+
"tiger shark": 3,
|
| 1918 |
+
"tile roof": 858,
|
| 1919 |
+
"timber wolf": 269,
|
| 1920 |
+
"titi": 380,
|
| 1921 |
+
"toaster": 859,
|
| 1922 |
+
"tobacco shop": 860,
|
| 1923 |
+
"toilet seat": 861,
|
| 1924 |
+
"toilet tissue": 999,
|
| 1925 |
+
"torch": 862,
|
| 1926 |
+
"totem pole": 863,
|
| 1927 |
+
"toucan": 96,
|
| 1928 |
+
"tow truck": 864,
|
| 1929 |
+
"toy poodle": 265,
|
| 1930 |
+
"toy terrier": 158,
|
| 1931 |
+
"toyshop": 865,
|
| 1932 |
+
"tractor": 866,
|
| 1933 |
+
"traffic light": 920,
|
| 1934 |
+
"trailer truck": 867,
|
| 1935 |
+
"tray": 868,
|
| 1936 |
+
"tree frog": 31,
|
| 1937 |
+
"trench coat": 869,
|
| 1938 |
+
"triceratops": 51,
|
| 1939 |
+
"tricycle": 870,
|
| 1940 |
+
"trifle": 927,
|
| 1941 |
+
"trilobite": 69,
|
| 1942 |
+
"trimaran": 871,
|
| 1943 |
+
"tripod": 872,
|
| 1944 |
+
"triumphal arch": 873,
|
| 1945 |
+
"trolleybus": 874,
|
| 1946 |
+
"trombone": 875,
|
| 1947 |
+
"tub": 876,
|
| 1948 |
+
"turnstile": 877,
|
| 1949 |
+
"tusker": 101,
|
| 1950 |
+
"typewriter keyboard": 878,
|
| 1951 |
+
"umbrella": 879,
|
| 1952 |
+
"unicycle": 880,
|
| 1953 |
+
"upright": 881,
|
| 1954 |
+
"vacuum": 882,
|
| 1955 |
+
"valley": 979,
|
| 1956 |
+
"vase": 883,
|
| 1957 |
+
"vault": 884,
|
| 1958 |
+
"velvet": 885,
|
| 1959 |
+
"vending machine": 886,
|
| 1960 |
+
"vestment": 887,
|
| 1961 |
+
"viaduct": 888,
|
| 1962 |
+
"vine snake": 59,
|
| 1963 |
+
"violin": 889,
|
| 1964 |
+
"vizsla": 211,
|
| 1965 |
+
"volcano": 980,
|
| 1966 |
+
"volleyball": 890,
|
| 1967 |
+
"vulture": 23,
|
| 1968 |
+
"waffle iron": 891,
|
| 1969 |
+
"walking stick": 313,
|
| 1970 |
+
"wall clock": 892,
|
| 1971 |
+
"wallaby": 104,
|
| 1972 |
+
"wallet": 893,
|
| 1973 |
+
"wardrobe": 894,
|
| 1974 |
+
"warplane": 895,
|
| 1975 |
+
"warthog": 343,
|
| 1976 |
+
"washbasin": 896,
|
| 1977 |
+
"washer": 897,
|
| 1978 |
+
"water bottle": 898,
|
| 1979 |
+
"water buffalo": 346,
|
| 1980 |
+
"water jug": 899,
|
| 1981 |
+
"water ouzel": 20,
|
| 1982 |
+
"water snake": 58,
|
| 1983 |
+
"water tower": 900,
|
| 1984 |
+
"weasel": 356,
|
| 1985 |
+
"web site": 916,
|
| 1986 |
+
"weevil": 307,
|
| 1987 |
+
"whippet": 172,
|
| 1988 |
+
"whiptail": 41,
|
| 1989 |
+
"whiskey jug": 901,
|
| 1990 |
+
"whistle": 902,
|
| 1991 |
+
"white stork": 127,
|
| 1992 |
+
"white wolf": 270,
|
| 1993 |
+
"wig": 903,
|
| 1994 |
+
"wild boar": 342,
|
| 1995 |
+
"window screen": 904,
|
| 1996 |
+
"window shade": 905,
|
| 1997 |
+
"wine bottle": 907,
|
| 1998 |
+
"wing": 908,
|
| 1999 |
+
"wire-haired fox terrier": 188,
|
| 2000 |
+
"wok": 909,
|
| 2001 |
+
"wolf spider": 77,
|
| 2002 |
+
"wombat": 106,
|
| 2003 |
+
"wood rabbit": 330,
|
| 2004 |
+
"wooden spoon": 910,
|
| 2005 |
+
"wool": 911,
|
| 2006 |
+
"worm fence": 912,
|
| 2007 |
+
"wreck": 913,
|
| 2008 |
+
"yawl": 914,
|
| 2009 |
+
"yellow lady's slipper": 986,
|
| 2010 |
+
"yurt": 915,
|
| 2011 |
+
"zebra": 340,
|
| 2012 |
+
"zucchini": 939
|
| 2013 |
+
},
|
| 2014 |
+
"model_name": "resnet18",
|
| 2015 |
+
"model_type": "resnet",
|
| 2016 |
+
"num_classes": 1000,
|
| 2017 |
+
"out_indices": [
|
| 2018 |
+
0,
|
| 2019 |
+
1,
|
| 2020 |
+
2,
|
| 2021 |
+
3
|
| 2022 |
+
],
|
| 2023 |
+
"pretrained": false,
|
| 2024 |
+
"torch_dtype": "float32",
|
| 2025 |
+
"transformers_version": "4.36.2"
|
| 2026 |
+
}
|
configuration_resnet.py
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from torch import nn
|
| 3 |
+
import torch.nn.functional as F
|
| 4 |
+
from torchvision.models import resnet18, resnet
|
| 5 |
+
from torchvision.models._meta import _IMAGENET_CATEGORIES
|
| 6 |
+
# from yacs.config import CfgNode
|
| 7 |
+
|
| 8 |
+
from dataclasses import dataclass
|
| 9 |
+
from typing import Optional, Tuple, List
|
| 10 |
+
from transformers.modeling_outputs import ModelOutput
|
| 11 |
+
from transformers import PretrainedConfig, PreTrainedModel
|
| 12 |
+
|
| 13 |
+
class ResnetConfig(PretrainedConfig):
|
| 14 |
+
"""
|
| 15 |
+
>>> https://huggingface.co/docs/transformers/custom_models
|
| 16 |
+
>>> # 本地使用
|
| 17 |
+
>>> res18_config = ResnetConfig('resnet18', True)
|
| 18 |
+
>>> res18_config.save_pretrained("custom-resnet")
|
| 19 |
+
>>> res18_config = ResnetConfig.from_pretrained("custom-resnet")
|
| 20 |
+
"""
|
| 21 |
+
model_type = "resnet"
|
| 22 |
+
|
| 23 |
+
# _name_or_path = "wucng/custom-resnet"
|
| 24 |
+
# architectures = ['ResnetModel', 'ResnetModelForImageClassification']
|
| 25 |
+
|
| 26 |
+
def __init__(
|
| 27 |
+
self,
|
| 28 |
+
model_name='resnet18',
|
| 29 |
+
pretrained=False,
|
| 30 |
+
input_channels: int = 3,
|
| 31 |
+
num_classes: int = 1000,
|
| 32 |
+
**kwargs
|
| 33 |
+
):
|
| 34 |
+
assert model_name in ["resnet18", "resnet34", "resnet50", "resnet101", "resnet152", "resnext50_32x4d",
|
| 35 |
+
"resnext101_32x8d", "resnext101_64x4d", "wide_resnet50_2", "wide_resnet101_2", ]
|
| 36 |
+
self.model_name = model_name
|
| 37 |
+
self.pretrained = pretrained
|
| 38 |
+
self.input_channels = input_channels
|
| 39 |
+
self.num_classes = num_classes
|
| 40 |
+
id2label = {i: name for i, name in enumerate(_IMAGENET_CATEGORIES)}
|
| 41 |
+
label2id = {name: i for i, name in enumerate(_IMAGENET_CATEGORIES)}
|
| 42 |
+
if kwargs.get('id2label', None) is None: kwargs['id2label'] = id2label
|
| 43 |
+
if kwargs.get('label2id', None) is None: kwargs['label2id'] = label2id
|
| 44 |
+
if kwargs.get('out_indices', None) is None: kwargs['out_indices'] = [0, 1, 2, 3]
|
| 45 |
+
|
| 46 |
+
super().__init__(**kwargs)
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b072267afe3d6da983e3e98aeb7222257736d592046d442a42197e223d6b6fc6
|
| 3 |
+
size 44755968
|
modeling_resnet.py
ADDED
|
@@ -0,0 +1,107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
from torch import nn
|
| 3 |
+
import torch.nn.functional as F
|
| 4 |
+
from torchvision.models import resnet18, resnet
|
| 5 |
+
from torchvision.models._meta import _IMAGENET_CATEGORIES
|
| 6 |
+
# from yacs.config import CfgNode
|
| 7 |
+
|
| 8 |
+
from dataclasses import dataclass
|
| 9 |
+
from typing import Optional, Tuple, List
|
| 10 |
+
from transformers.modeling_outputs import ModelOutput
|
| 11 |
+
from transformers import PretrainedConfig, PreTrainedModel
|
| 12 |
+
from resnet_model.configuration_resnet import ResnetConfig
|
| 13 |
+
@dataclass
|
| 14 |
+
class BaseModelOutputWithCls(ModelOutput):
|
| 15 |
+
loss: Optional[torch.FloatTensor] = None
|
| 16 |
+
logits: torch.FloatTensor = None
|
| 17 |
+
|
| 18 |
+
class ResnetModel(PreTrainedModel):
|
| 19 |
+
"""
|
| 20 |
+
https://huggingface.co/docs/transformers/custom_models
|
| 21 |
+
# 本地使用
|
| 22 |
+
res18_config = ResnetConfig('resnet18', True)
|
| 23 |
+
res18_config.save_pretrained("custom-resnet")
|
| 24 |
+
res18_config = ResnetConfig.from_pretrained("custom-resnet")
|
| 25 |
+
|
| 26 |
+
res18_f = ResnetModel(res18_config)
|
| 27 |
+
res18_f.save_pretrained("custom-resnet")
|
| 28 |
+
res18_f = ResnetModel.from_pretrained("custom-resnet")
|
| 29 |
+
"""
|
| 30 |
+
|
| 31 |
+
config_class = ResnetConfig
|
| 32 |
+
|
| 33 |
+
def __init__(self, config):
|
| 34 |
+
super().__init__(config)
|
| 35 |
+
# m = getattr(resnet, config.model_name)(config.pretrained)
|
| 36 |
+
# self.model = nn.Sequential(
|
| 37 |
+
# nn.Sequential(m.conv1, m.bn1, m.relu, m.maxpool, m.layer1), # p2
|
| 38 |
+
# m.layer2, # p3
|
| 39 |
+
# m.layer3, # p4
|
| 40 |
+
# m.layer4 # p5
|
| 41 |
+
# )
|
| 42 |
+
# c5 = m.inplanes
|
| 43 |
+
self.model = getattr(resnet, config.model_name)(config.pretrained)
|
| 44 |
+
self.model.fc = nn.Identity()
|
| 45 |
+
|
| 46 |
+
c5 = self.model.inplanes
|
| 47 |
+
self.output_channels = [c5 // 2, c5 // 4, c5 // 2, c5]
|
| 48 |
+
|
| 49 |
+
out_indices = getattr(config, 'out_indices', [0, 1, 2, 3])
|
| 50 |
+
self.out_indices = out_indices
|
| 51 |
+
self.output_channels = [self.output_channels[i] for i in out_indices]
|
| 52 |
+
|
| 53 |
+
# def forward(self, pixel_values, **kwargs):
|
| 54 |
+
# out = []
|
| 55 |
+
# nums = len(self.model)
|
| 56 |
+
# tensor = pixel_values
|
| 57 |
+
# for i in range(nums):
|
| 58 |
+
# tensor = self.model[i](tensor)
|
| 59 |
+
# out.append(tensor)
|
| 60 |
+
# return [out[i] for i in self.out_indices]
|
| 61 |
+
|
| 62 |
+
def forward(self, pixel_values, **kwargs):
|
| 63 |
+
out = []
|
| 64 |
+
x = pixel_values
|
| 65 |
+
x = self.conv1(x)
|
| 66 |
+
x = self.bn1(x)
|
| 67 |
+
x = self.relu(x)
|
| 68 |
+
x = self.maxpool(x)
|
| 69 |
+
|
| 70 |
+
x = self.layer1(x)
|
| 71 |
+
out.append(x)
|
| 72 |
+
x = self.layer2(x)
|
| 73 |
+
out.append(x)
|
| 74 |
+
x = self.layer3(x)
|
| 75 |
+
out.append(x)
|
| 76 |
+
x = self.layer4(x)
|
| 77 |
+
out.append(x)
|
| 78 |
+
|
| 79 |
+
return [out[i] for i in self.out_indices]
|
| 80 |
+
|
| 81 |
+
|
| 82 |
+
class ResnetModelForImageClassification(PreTrainedModel):
|
| 83 |
+
"""
|
| 84 |
+
https://huggingface.co/docs/transformers/custom_models
|
| 85 |
+
# 本地使用
|
| 86 |
+
res18_config = ResnetConfig('resnet18', True)
|
| 87 |
+
res18_config.save_pretrained("custom-resnet")
|
| 88 |
+
res18_config = ResnetConfig.from_pretrained("custom-resnet")
|
| 89 |
+
|
| 90 |
+
res18_cls = ResnetModelForImageClassification(res18_config)
|
| 91 |
+
res18_cls.save_pretrained("custom-resnet")
|
| 92 |
+
res18_cls = ResnetModelForImageClassification.from_pretrained("custom-resnet")
|
| 93 |
+
"""
|
| 94 |
+
|
| 95 |
+
config_class = ResnetConfig
|
| 96 |
+
|
| 97 |
+
def __init__(self, config):
|
| 98 |
+
super().__init__(config)
|
| 99 |
+
self.model = getattr(resnet, config.model_name)(config.pretrained)
|
| 100 |
+
if self.model.fc.out_features != config.num_classes:
|
| 101 |
+
self.model.fc = nn.Linear(self.model.fc.in_features, config.num_classes)
|
| 102 |
+
|
| 103 |
+
def forward(self, pixel_values, labels=None, **kwargs):
|
| 104 |
+
logits = self.model(pixel_values)
|
| 105 |
+
loss = torch.nn.functional.cross_entropy(logits, labels) if labels is not None else None
|
| 106 |
+
# return {"loss": loss, "logits": logits}
|
| 107 |
+
return BaseModelOutputWithCls(loss=loss, logits=logits)
|