Commit
•
b7a8cc0
1
Parent(s):
f97fc90
Update parquet files
Browse files- imagenet_refs.json +0 -1002
- imagenette-160px/imagenette-train.parquet +3 -0
- imagenette-160px/imagenette-validation.parquet +3 -0
- imagenette.py +0 -182
imagenet_refs.json
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@@ -1,1002 +0,0 @@
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{
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"n01440764": "tench",
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"n01443537": "goldfish",
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"n01484850": "great_white_shark",
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"n01491361": "tiger_shark",
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"n01494475": "hammerhead",
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"n01496331": "electric_ray",
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"n01498041": "stingray",
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"n01514668": "cock",
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"n01514859": "hen",
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"n01518878": "ostrich",
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"n01530575": "brambling",
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"n01531178": "goldfinch",
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"n01532829": "house_finch",
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"n01534433": "junco",
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"n01537544": "indigo_bunting",
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"n01558993": "robin",
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"n01560419": "bulbul",
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"n01580077": "jay",
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"n01582220": "magpie",
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"n01592084": "chickadee",
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"n01601694": "water_ouzel",
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"n01608432": "kite",
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"n01614925": "bald_eagle",
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"n01616318": "vulture",
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"n01622779": "great_grey_owl",
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"n01629819": "European_fire_salamander",
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"n01630670": "common_newt",
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"n01631663": "eft",
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"n01632458": "spotted_salamander",
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"n01632777": "axolotl",
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"n01641577": "bullfrog",
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"n01644373": "tree_frog",
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"n01644900": "tailed_frog",
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"n01664065": "loggerhead",
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"n01665541": "leatherback_turtle",
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"n01667114": "mud_turtle",
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"n01667778": "terrapin",
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"n01669191": "box_turtle",
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"n01675722": "banded_gecko",
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"n01677366": "common_iguana",
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"n01682714": "American_chameleon",
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"n01685808": "whiptail",
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"n01687978": "agama",
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"n01688243": "frilled_lizard",
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"n01689811": "alligator_lizard",
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"n01692333": "Gila_monster",
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"n01693334": "green_lizard",
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"n01694178": "African_chameleon",
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"n01695060": "Komodo_dragon",
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"n01697457": "African_crocodile",
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"n01698640": "American_alligator",
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"n01704323": "triceratops",
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"n01728572": "thunder_snake",
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"n01728920": "ringneck_snake",
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"n01729322": "hognose_snake",
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"n01729977": "green_snake",
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"n01734418": "king_snake",
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"n01735189": "garter_snake",
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"n01737021": "water_snake",
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"n01739381": "vine_snake",
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"n01740131": "night_snake",
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"n01742172": "boa_constrictor",
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"n01744401": "rock_python",
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"n01748264": "Indian_cobra",
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"n01749939": "green_mamba",
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"n01751748": "sea_snake",
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"n01753488": "horned_viper",
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"n01755581": "diamondback",
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"n01756291": "sidewinder",
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"n01768244": "trilobite",
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"n01770081": "harvestman",
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"n01770393": "scorpion",
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"n01773157": "black_and_gold_garden_spider",
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"n01773549": "barn_spider",
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"n01773797": "garden_spider",
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"n01774384": "black_widow",
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"n01774750": "tarantula",
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"n01775062": "wolf_spider",
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"n01776313": "tick",
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"n01784675": "centipede",
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"n01795545": "black_grouse",
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"n01796340": "ptarmigan",
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"n01797886": "ruffed_grouse",
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"n01798484": "prairie_chicken",
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"n01806143": "peacock",
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"n01806567": "quail",
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"n01807496": "partridge",
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"n01817953": "African_grey",
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"n01818515": "macaw",
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"n01819313": "sulphur-crested_cockatoo",
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"n01820546": "lorikeet",
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"n01824575": "coucal",
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"n01828970": "bee_eater",
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"n01829413": "hornbill",
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"n01833805": "hummingbird",
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"n01843065": "jacamar",
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"n01843383": "toucan",
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"n01847000": "drake",
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"n01855032": "red-breasted_merganser",
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"n01855672": "goose",
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"n01860187": "black_swan",
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"n01871265": "tusker",
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"n01872401": "echidna",
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"n01873310": "platypus",
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"n01877812": "wallaby",
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"n01882714": "koala",
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"n01883070": "wombat",
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"n01910747": "jellyfish",
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"n01914609": "sea_anemone",
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"n01917289": "brain_coral",
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"n01924916": "flatworm",
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"n01930112": "nematode",
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"n01943899": "conch",
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"n01944390": "snail",
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"n01945685": "slug",
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"n01950731": "sea_slug",
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"n01955084": "chiton",
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"n01968897": "chambered_nautilus",
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"n01978287": "Dungeness_crab",
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"n01978455": "rock_crab",
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"n01980166": "fiddler_crab",
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"n01981276": "king_crab",
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"n01983481": "American_lobster",
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"n01984695": "spiny_lobster",
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"n01985128": "crayfish",
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"n01986214": "hermit_crab",
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"n01990800": "isopod",
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"n02002556": "white_stork",
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"n02002724": "black_stork",
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"n02006656": "spoonbill",
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"n02007558": "flamingo",
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"n02009229": "little_blue_heron",
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"n02009912": "American_egret",
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"n02011460": "bittern",
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"n02012849": "crane",
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"n02013706": "limpkin",
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"n02017213": "European_gallinule",
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"n02018207": "American_coot",
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"n02018795": "bustard",
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"n02025239": "ruddy_turnstone",
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"n02027492": "red-backed_sandpiper",
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"n02028035": "redshank",
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"n02033041": "dowitcher",
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"n02037110": "oystercatcher",
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"n02051845": "pelican",
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"n02056570": "king_penguin",
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"n02058221": "albatross",
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"n02066245": "grey_whale",
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"n02071294": "killer_whale",
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"n02074367": "dugong",
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"n02077923": "sea_lion",
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"n02085620": "Chihuahua",
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"n02085782": "Japanese_spaniel",
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"n02085936": "Maltese_dog",
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"n02086079": "Pekinese",
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"n02086240": "Shih-Tzu",
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"n02086646": "Blenheim_spaniel",
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"n02086910": "papillon",
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"n02087046": "toy_terrier",
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"n02087394": "Rhodesian_ridgeback",
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"n02088094": "Afghan_hound",
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"n02088238": "basset",
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"n02088364": "beagle",
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"n02088466": "bloodhound",
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"n02088632": "bluetick",
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"n02089078": "black-and-tan_coonhound",
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"n02089867": "Walker_hound",
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"n02089973": "English_foxhound",
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"n02090379": "redbone",
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"n02090622": "borzoi",
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"n02090721": "Irish_wolfhound",
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"n02091032": "Italian_greyhound",
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"n02091134": "whippet",
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"n02091244": "Ibizan_hound",
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"n02091467": "Norwegian_elkhound",
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"n02091635": "otterhound",
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"n02091831": "Saluki",
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"n02092002": "Scottish_deerhound",
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"n02092339": "Weimaraner",
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"n02093256": "Staffordshire_bullterrier",
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"n02093428": "American_Staffordshire_terrier",
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"n02093647": "Bedlington_terrier",
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"n02093754": "Border_terrier",
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"n02093859": "Kerry_blue_terrier",
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"n02093991": "Irish_terrier",
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"n02094114": "Norfolk_terrier",
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"n02094258": "Norwich_terrier",
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"n02094433": "Yorkshire_terrier",
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"n02095314": "wire-haired_fox_terrier",
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"n02095570": "Lakeland_terrier",
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"n02095889": "Sealyham_terrier",
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"n02096051": "Airedale",
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"n02096177": "cairn",
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"n02096294": "Australian_terrier",
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"n02096437": "Dandie_Dinmont",
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"n02096585": "Boston_bull",
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"n02097047": "miniature_schnauzer",
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"n02097130": "giant_schnauzer",
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"n02097209": "standard_schnauzer",
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"n02097298": "Scotch_terrier",
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"n02097474": "Tibetan_terrier",
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"n02097658": "silky_terrier",
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"n02098105": "soft-coated_wheaten_terrier",
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"n02098286": "West_Highland_white_terrier",
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"n02098413": "Lhasa",
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"n02099267": "flat-coated_retriever",
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"n02099429": "curly-coated_retriever",
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"n02099601": "golden_retriever",
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"n02099712": "Labrador_retriever",
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"n02099849": "Chesapeake_Bay_retriever",
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"n02100236": "German_short-haired_pointer",
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"n02100583": "vizsla",
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"n02100735": "English_setter",
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"n02100877": "Irish_setter",
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"n02101006": "Gordon_setter",
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"n02101388": "Brittany_spaniel",
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"n02101556": "clumber",
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"n02102040": "English_springer",
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"n02102177": "Welsh_springer_spaniel",
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"n02102318": "cocker_spaniel",
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"n02102480": "Sussex_spaniel",
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"n02102973": "Irish_water_spaniel",
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"n02104029": "kuvasz",
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"n02104365": "schipperke",
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"n02105056": "groenendael",
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"n02105162": "malinois",
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"n02105251": "briard",
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"n02105412": "kelpie",
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"n02105505": "komondor",
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"n02105641": "Old_English_sheepdog",
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"n02105855": "Shetland_sheepdog",
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"n02106030": "collie",
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"n02106166": "Border_collie",
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"n02106382": "Bouvier_des_Flandres",
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"n02106550": "Rottweiler",
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"n02106662": "German_shepherd",
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"n02107142": "Doberman",
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"n02107312": "miniature_pinscher",
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"n02107574": "Greater_Swiss_Mountain_dog",
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"n02107683": "Bernese_mountain_dog",
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"n02107908": "Appenzeller",
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"n02108000": "EntleBucher",
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"n02108089": "boxer",
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"n02108422": "bull_mastiff",
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"n02108551": "Tibetan_mastiff",
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"n02108915": "French_bulldog",
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"n02109047": "Great_Dane",
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"n02109525": "Saint_Bernard",
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"n02109961": "Eskimo_dog",
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"n02110063": "malamute",
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"n02110185": "Siberian_husky",
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"n02110341": "dalmatian",
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"n02110627": "affenpinscher",
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"n02110806": "basenji",
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"n02110958": "pug",
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"n02111129": "Leonberg",
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"n02111277": "Newfoundland",
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"n02111500": "Great_Pyrenees",
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"n02111889": "Samoyed",
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"n02112018": "Pomeranian",
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"n02112137": "chow",
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"n02112350": "keeshond",
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"n02112706": "Brabancon_griffon",
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"n02113023": "Pembroke",
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"n02113186": "Cardigan",
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"n02113624": "toy_poodle",
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"n02113712": "miniature_poodle",
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"n02113799": "standard_poodle",
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"n02113978": "Mexican_hairless",
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"n02114367": "timber_wolf",
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"n02114548": "white_wolf",
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"n02114712": "red_wolf",
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"n02114855": "coyote",
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"n02115641": "dingo",
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"n02115913": "dhole",
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"n02116738": "African_hunting_dog",
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"n02117135": "hyena",
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"n02119022": "red_fox",
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"n02119789": "kit_fox",
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"n02120079": "Arctic_fox",
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"n02120505": "grey_fox",
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"n02123045": "tabby",
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"n02123159": "tiger_cat",
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"n02123394": "Persian_cat",
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"n02123597": "Siamese_cat",
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"n02124075": "Egyptian_cat",
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"n02125311": "cougar",
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"n02127052": "lynx",
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"n02128385": "leopard",
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"n02128757": "snow_leopard",
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"n02128925": "jaguar",
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"n02129165": "lion",
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"n02129604": "tiger",
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"n02130308": "cheetah",
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"n02132136": "brown_bear",
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"n02133161": "American_black_bear",
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"n02134084": "ice_bear",
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"n02134418": "sloth_bear",
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"n02137549": "mongoose",
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"n02138441": "meerkat",
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"n02165105": "tiger_beetle",
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"n02165456": "ladybug",
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"n02167151": "ground_beetle",
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"n02168699": "long-horned_beetle",
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"n02169497": "leaf_beetle",
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"n02172182": "dung_beetle",
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"n02174001": "rhinoceros_beetle",
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"n02177972": "weevil",
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"n02190166": "fly",
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"n02206856": "bee",
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"n02219486": "ant",
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"n02226429": "grasshopper",
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"n02229544": "cricket",
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"n02231487": "walking_stick",
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"n02233338": "cockroach",
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"n02236044": "mantis",
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"n02256656": "cicada",
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"n02259212": "leafhopper",
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"n02264363": "lacewing",
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"n02268443": "dragonfly",
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"n02268853": "damselfly",
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"n02276258": "admiral",
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"n02277742": "ringlet",
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"n02279972": "monarch",
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"n02280649": "cabbage_butterfly",
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"n02281406": "sulphur_butterfly",
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"n02281787": "lycaenid",
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"n02317335": "starfish",
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-
"n02319095": "sea_urchin",
|
331 |
-
"n02321529": "sea_cucumber",
|
332 |
-
"n02325366": "wood_rabbit",
|
333 |
-
"n02326432": "hare",
|
334 |
-
"n02328150": "Angora",
|
335 |
-
"n02342885": "hamster",
|
336 |
-
"n02346627": "porcupine",
|
337 |
-
"n02356798": "fox_squirrel",
|
338 |
-
"n02361337": "marmot",
|
339 |
-
"n02363005": "beaver",
|
340 |
-
"n02364673": "guinea_pig",
|
341 |
-
"n02389026": "sorrel",
|
342 |
-
"n02391049": "zebra",
|
343 |
-
"n02395406": "hog",
|
344 |
-
"n02396427": "wild_boar",
|
345 |
-
"n02397096": "warthog",
|
346 |
-
"n02398521": "hippopotamus",
|
347 |
-
"n02403003": "ox",
|
348 |
-
"n02408429": "water_buffalo",
|
349 |
-
"n02410509": "bison",
|
350 |
-
"n02412080": "ram",
|
351 |
-
"n02415577": "bighorn",
|
352 |
-
"n02417914": "ibex",
|
353 |
-
"n02422106": "hartebeest",
|
354 |
-
"n02422699": "impala",
|
355 |
-
"n02423022": "gazelle",
|
356 |
-
"n02437312": "Arabian_camel",
|
357 |
-
"n02437616": "llama",
|
358 |
-
"n02441942": "weasel",
|
359 |
-
"n02442845": "mink",
|
360 |
-
"n02443114": "polecat",
|
361 |
-
"n02443484": "black-footed_ferret",
|
362 |
-
"n02444819": "otter",
|
363 |
-
"n02445715": "skunk",
|
364 |
-
"n02447366": "badger",
|
365 |
-
"n02454379": "armadillo",
|
366 |
-
"n02457408": "three-toed_sloth",
|
367 |
-
"n02480495": "orangutan",
|
368 |
-
"n02480855": "gorilla",
|
369 |
-
"n02481823": "chimpanzee",
|
370 |
-
"n02483362": "gibbon",
|
371 |
-
"n02483708": "siamang",
|
372 |
-
"n02484975": "guenon",
|
373 |
-
"n02486261": "patas",
|
374 |
-
"n02486410": "baboon",
|
375 |
-
"n02487347": "macaque",
|
376 |
-
"n02488291": "langur",
|
377 |
-
"n02488702": "colobus",
|
378 |
-
"n02489166": "proboscis_monkey",
|
379 |
-
"n02490219": "marmoset",
|
380 |
-
"n02492035": "capuchin",
|
381 |
-
"n02492660": "howler_monkey",
|
382 |
-
"n02493509": "titi",
|
383 |
-
"n02493793": "spider_monkey",
|
384 |
-
"n02494079": "squirrel_monkey",
|
385 |
-
"n02497673": "Madagascar_cat",
|
386 |
-
"n02500267": "indri",
|
387 |
-
"n02504013": "Indian_elephant",
|
388 |
-
"n02504458": "African_elephant",
|
389 |
-
"n02509815": "lesser_panda",
|
390 |
-
"n02510455": "giant_panda",
|
391 |
-
"n02514041": "barracouta",
|
392 |
-
"n02526121": "eel",
|
393 |
-
"n02536864": "coho",
|
394 |
-
"n02606052": "rock_beauty",
|
395 |
-
"n02607072": "anemone_fish",
|
396 |
-
"n02640242": "sturgeon",
|
397 |
-
"n02641379": "gar",
|
398 |
-
"n02643566": "lionfish",
|
399 |
-
"n02655020": "puffer",
|
400 |
-
"n02666196": "abacus",
|
401 |
-
"n02667093": "abaya",
|
402 |
-
"n02669723": "academic_gown",
|
403 |
-
"n02672831": "accordion",
|
404 |
-
"n02676566": "acoustic_guitar",
|
405 |
-
"n02687172": "aircraft_carrier",
|
406 |
-
"n02690373": "airliner",
|
407 |
-
"n02692877": "airship",
|
408 |
-
"n02699494": "altar",
|
409 |
-
"n02701002": "ambulance",
|
410 |
-
"n02704792": "amphibian",
|
411 |
-
"n02708093": "analog_clock",
|
412 |
-
"n02727426": "apiary",
|
413 |
-
"n02730930": "apron",
|
414 |
-
"n02747177": "ashcan",
|
415 |
-
"n02749479": "assault_rifle",
|
416 |
-
"n02769748": "backpack",
|
417 |
-
"n02776631": "bakery",
|
418 |
-
"n02777292": "balance_beam",
|
419 |
-
"n02782093": "balloon",
|
420 |
-
"n02783161": "ballpoint",
|
421 |
-
"n02786058": "Band_Aid",
|
422 |
-
"n02787622": "banjo",
|
423 |
-
"n02788148": "bannister",
|
424 |
-
"n02790996": "barbell",
|
425 |
-
"n02791124": "barber_chair",
|
426 |
-
"n02791270": "barbershop",
|
427 |
-
"n02793495": "barn",
|
428 |
-
"n02794156": "barometer",
|
429 |
-
"n02795169": "barrel",
|
430 |
-
"n02797295": "barrow",
|
431 |
-
"n02799071": "baseball",
|
432 |
-
"n02802426": "basketball",
|
433 |
-
"n02804414": "bassinet",
|
434 |
-
"n02804610": "bassoon",
|
435 |
-
"n02807133": "bathing_cap",
|
436 |
-
"n02808304": "bath_towel",
|
437 |
-
"n02808440": "bathtub",
|
438 |
-
"n02814533": "beach_wagon",
|
439 |
-
"n02814860": "beacon",
|
440 |
-
"n02815834": "beaker",
|
441 |
-
"n02817516": "bearskin",
|
442 |
-
"n02823428": "beer_bottle",
|
443 |
-
"n02823750": "beer_glass",
|
444 |
-
"n02825657": "bell_cote",
|
445 |
-
"n02834397": "bib",
|
446 |
-
"n02835271": "bicycle-built-for-two",
|
447 |
-
"n02837789": "bikini",
|
448 |
-
"n02840245": "binder",
|
449 |
-
"n02841315": "binoculars",
|
450 |
-
"n02843684": "birdhouse",
|
451 |
-
"n02859443": "boathouse",
|
452 |
-
"n02860847": "bobsled",
|
453 |
-
"n02865351": "bolo_tie",
|
454 |
-
"n02869837": "bonnet",
|
455 |
-
"n02870880": "bookcase",
|
456 |
-
"n02871525": "bookshop",
|
457 |
-
"n02877765": "bottlecap",
|
458 |
-
"n02879718": "bow",
|
459 |
-
"n02883205": "bow_tie",
|
460 |
-
"n02892201": "brass",
|
461 |
-
"n02892767": "brassiere",
|
462 |
-
"n02894605": "breakwater",
|
463 |
-
"n02895154": "breastplate",
|
464 |
-
"n02906734": "broom",
|
465 |
-
"n02909870": "bucket",
|
466 |
-
"n02910353": "buckle",
|
467 |
-
"n02916936": "bulletproof_vest",
|
468 |
-
"n02917067": "bullet_train",
|
469 |
-
"n02927161": "butcher_shop",
|
470 |
-
"n02930766": "cab",
|
471 |
-
"n02939185": "caldron",
|
472 |
-
"n02948072": "candle",
|
473 |
-
"n02950826": "cannon",
|
474 |
-
"n02951358": "canoe",
|
475 |
-
"n02951585": "can_opener",
|
476 |
-
"n02963159": "cardigan",
|
477 |
-
"n02965783": "car_mirror",
|
478 |
-
"n02966193": "carousel",
|
479 |
-
"n02966687": "carpenter's_kit",
|
480 |
-
"n02971356": "carton",
|
481 |
-
"n02974003": "car_wheel",
|
482 |
-
"n02977058": "cash_machine",
|
483 |
-
"n02978881": "cassette",
|
484 |
-
"n02979186": "cassette_player",
|
485 |
-
"n02980441": "castle",
|
486 |
-
"n02981792": "catamaran",
|
487 |
-
"n02988304": "CD_player",
|
488 |
-
"n02992211": "cello",
|
489 |
-
"n02992529": "cellular_telephone",
|
490 |
-
"n02999410": "chain",
|
491 |
-
"n03000134": "chainlink_fence",
|
492 |
-
"n03000247": "chain_mail",
|
493 |
-
"n03000684": "chain_saw",
|
494 |
-
"n03014705": "chest",
|
495 |
-
"n03016953": "chiffonier",
|
496 |
-
"n03017168": "chime",
|
497 |
-
"n03018349": "china_cabinet",
|
498 |
-
"n03026506": "Christmas_stocking",
|
499 |
-
"n03028079": "church",
|
500 |
-
"n03032252": "cinema",
|
501 |
-
"n03041632": "cleaver",
|
502 |
-
"n03042490": "cliff_dwelling",
|
503 |
-
"n03045698": "cloak",
|
504 |
-
"n03047690": "clog",
|
505 |
-
"n03062245": "cocktail_shaker",
|
506 |
-
"n03063599": "coffee_mug",
|
507 |
-
"n03063689": "coffeepot",
|
508 |
-
"n03065424": "coil",
|
509 |
-
"n03075370": "combination_lock",
|
510 |
-
"n03085013": "computer_keyboard",
|
511 |
-
"n03089624": "confectionery",
|
512 |
-
"n03095699": "container_ship",
|
513 |
-
"n03100240": "convertible",
|
514 |
-
"n03109150": "corkscrew",
|
515 |
-
"n03110669": "cornet",
|
516 |
-
"n03124043": "cowboy_boot",
|
517 |
-
"n03124170": "cowboy_hat",
|
518 |
-
"n03125729": "cradle",
|
519 |
-
"n03126707": "crane",
|
520 |
-
"n03127747": "crash_helmet",
|
521 |
-
"n03127925": "crate",
|
522 |
-
"n03131574": "crib",
|
523 |
-
"n03133878": "Crock_Pot",
|
524 |
-
"n03134739": "croquet_ball",
|
525 |
-
"n03141823": "crutch",
|
526 |
-
"n03146219": "cuirass",
|
527 |
-
"n03160309": "dam",
|
528 |
-
"n03179701": "desk",
|
529 |
-
"n03180011": "desktop_computer",
|
530 |
-
"n03187595": "dial_telephone",
|
531 |
-
"n03188531": "diaper",
|
532 |
-
"n03196217": "digital_clock",
|
533 |
-
"n03197337": "digital_watch",
|
534 |
-
"n03201208": "dining_table",
|
535 |
-
"n03207743": "dishrag",
|
536 |
-
"n03207941": "dishwasher",
|
537 |
-
"n03208938": "disk_brake",
|
538 |
-
"n03216828": "dock",
|
539 |
-
"n03218198": "dogsled",
|
540 |
-
"n03220513": "dome",
|
541 |
-
"n03223299": "doormat",
|
542 |
-
"n03240683": "drilling_platform",
|
543 |
-
"n03249569": "drum",
|
544 |
-
"n03250847": "drumstick",
|
545 |
-
"n03255030": "dumbbell",
|
546 |
-
"n03259280": "Dutch_oven",
|
547 |
-
"n03271574": "electric_fan",
|
548 |
-
"n03272010": "electric_guitar",
|
549 |
-
"n03272562": "electric_locomotive",
|
550 |
-
"n03290653": "entertainment_center",
|
551 |
-
"n03291819": "envelope",
|
552 |
-
"n03297495": "espresso_maker",
|
553 |
-
"n03314780": "face_powder",
|
554 |
-
"n03325584": "feather_boa",
|
555 |
-
"n03337140": "file",
|
556 |
-
"n03344393": "fireboat",
|
557 |
-
"n03345487": "fire_engine",
|
558 |
-
"n03347037": "fire_screen",
|
559 |
-
"n03355925": "flagpole",
|
560 |
-
"n03372029": "flute",
|
561 |
-
"n03376595": "folding_chair",
|
562 |
-
"n03379051": "football_helmet",
|
563 |
-
"n03384352": "forklift",
|
564 |
-
"n03388043": "fountain",
|
565 |
-
"n03388183": "fountain_pen",
|
566 |
-
"n03388549": "four-poster",
|
567 |
-
"n03393912": "freight_car",
|
568 |
-
"n03394916": "French_horn",
|
569 |
-
"n03400231": "frying_pan",
|
570 |
-
"n03404251": "fur_coat",
|
571 |
-
"n03417042": "garbage_truck",
|
572 |
-
"n03424325": "gasmask",
|
573 |
-
"n03425413": "gas_pump",
|
574 |
-
"n03443371": "goblet",
|
575 |
-
"n03444034": "go-kart",
|
576 |
-
"n03445777": "golf_ball",
|
577 |
-
"n03445924": "golfcart",
|
578 |
-
"n03447447": "gondola",
|
579 |
-
"n03447721": "gong",
|
580 |
-
"n03450230": "gown",
|
581 |
-
"n03452741": "grand_piano",
|
582 |
-
"n03457902": "greenhouse",
|
583 |
-
"n03459775": "grille",
|
584 |
-
"n03461385": "grocery_store",
|
585 |
-
"n03467068": "guillotine",
|
586 |
-
"n03476684": "hair_slide",
|
587 |
-
"n03476991": "hair_spray",
|
588 |
-
"n03478589": "half_track",
|
589 |
-
"n03481172": "hammer",
|
590 |
-
"n03482405": "hamper",
|
591 |
-
"n03483316": "hand_blower",
|
592 |
-
"n03485407": "hand-held_computer",
|
593 |
-
"n03485794": "handkerchief",
|
594 |
-
"n03492542": "hard_disc",
|
595 |
-
"n03494278": "harmonica",
|
596 |
-
"n03495258": "harp",
|
597 |
-
"n03496892": "harvester",
|
598 |
-
"n03498962": "hatchet",
|
599 |
-
"n03527444": "holster",
|
600 |
-
"n03529860": "home_theater",
|
601 |
-
"n03530642": "honeycomb",
|
602 |
-
"n03532672": "hook",
|
603 |
-
"n03534580": "hoopskirt",
|
604 |
-
"n03535780": "horizontal_bar",
|
605 |
-
"n03538406": "horse_cart",
|
606 |
-
"n03544143": "hourglass",
|
607 |
-
"n03584254": "iPod",
|
608 |
-
"n03584829": "iron",
|
609 |
-
"n03590841": "jack-o'-lantern",
|
610 |
-
"n03594734": "jean",
|
611 |
-
"n03594945": "jeep",
|
612 |
-
"n03595614": "jersey",
|
613 |
-
"n03598930": "jigsaw_puzzle",
|
614 |
-
"n03599486": "jinrikisha",
|
615 |
-
"n03602883": "joystick",
|
616 |
-
"n03617480": "kimono",
|
617 |
-
"n03623198": "knee_pad",
|
618 |
-
"n03627232": "knot",
|
619 |
-
"n03630383": "lab_coat",
|
620 |
-
"n03633091": "ladle",
|
621 |
-
"n03637318": "lampshade",
|
622 |
-
"n03642806": "laptop",
|
623 |
-
"n03649909": "lawn_mower",
|
624 |
-
"n03657121": "lens_cap",
|
625 |
-
"n03658185": "letter_opener",
|
626 |
-
"n03661043": "library",
|
627 |
-
"n03662601": "lifeboat",
|
628 |
-
"n03666591": "lighter",
|
629 |
-
"n03670208": "limousine",
|
630 |
-
"n03673027": "liner",
|
631 |
-
"n03676483": "lipstick",
|
632 |
-
"n03680355": "Loafer",
|
633 |
-
"n03690938": "lotion",
|
634 |
-
"n03691459": "loudspeaker",
|
635 |
-
"n03692522": "loupe",
|
636 |
-
"n03697007": "lumbermill",
|
637 |
-
"n03706229": "magnetic_compass",
|
638 |
-
"n03709823": "mailbag",
|
639 |
-
"n03710193": "mailbox",
|
640 |
-
"n03710637": "maillot",
|
641 |
-
"n03710721": "maillot",
|
642 |
-
"n03717622": "manhole_cover",
|
643 |
-
"n03720891": "maraca",
|
644 |
-
"n03721384": "marimba",
|
645 |
-
"n03724870": "mask",
|
646 |
-
"n03729826": "matchstick",
|
647 |
-
"n03733131": "maypole",
|
648 |
-
"n03733281": "maze",
|
649 |
-
"n03733805": "measuring_cup",
|
650 |
-
"n03742115": "medicine_chest",
|
651 |
-
"n03743016": "megalith",
|
652 |
-
"n03759954": "microphone",
|
653 |
-
"n03761084": "microwave",
|
654 |
-
"n03763968": "military_uniform",
|
655 |
-
"n03764736": "milk_can",
|
656 |
-
"n03769881": "minibus",
|
657 |
-
"n03770439": "miniskirt",
|
658 |
-
"n03770679": "minivan",
|
659 |
-
"n03773504": "missile",
|
660 |
-
"n03775071": "mitten",
|
661 |
-
"n03775546": "mixing_bowl",
|
662 |
-
"n03776460": "mobile_home",
|
663 |
-
"n03777568": "Model_T",
|
664 |
-
"n03777754": "modem",
|
665 |
-
"n03781244": "monastery",
|
666 |
-
"n03782006": "monitor",
|
667 |
-
"n03785016": "moped",
|
668 |
-
"n03786901": "mortar",
|
669 |
-
"n03787032": "mortarboard",
|
670 |
-
"n03788195": "mosque",
|
671 |
-
"n03788365": "mosquito_net",
|
672 |
-
"n03791053": "motor_scooter",
|
673 |
-
"n03792782": "mountain_bike",
|
674 |
-
"n03792972": "mountain_tent",
|
675 |
-
"n03793489": "mouse",
|
676 |
-
"n03794056": "mousetrap",
|
677 |
-
"n03796401": "moving_van",
|
678 |
-
"n03803284": "muzzle",
|
679 |
-
"n03804744": "nail",
|
680 |
-
"n03814639": "neck_brace",
|
681 |
-
"n03814906": "necklace",
|
682 |
-
"n03825788": "nipple",
|
683 |
-
"n03832673": "notebook",
|
684 |
-
"n03837869": "obelisk",
|
685 |
-
"n03838899": "oboe",
|
686 |
-
"n03840681": "ocarina",
|
687 |
-
"n03841143": "odometer",
|
688 |
-
"n03843555": "oil_filter",
|
689 |
-
"n03854065": "organ",
|
690 |
-
"n03857828": "oscilloscope",
|
691 |
-
"n03866082": "overskirt",
|
692 |
-
"n03868242": "oxcart",
|
693 |
-
"n03868863": "oxygen_mask",
|
694 |
-
"n03871628": "packet",
|
695 |
-
"n03873416": "paddle",
|
696 |
-
"n03874293": "paddlewheel",
|
697 |
-
"n03874599": "padlock",
|
698 |
-
"n03876231": "paintbrush",
|
699 |
-
"n03877472": "pajama",
|
700 |
-
"n03877845": "palace",
|
701 |
-
"n03884397": "panpipe",
|
702 |
-
"n03887697": "paper_towel",
|
703 |
-
"n03888257": "parachute",
|
704 |
-
"n03888605": "parallel_bars",
|
705 |
-
"n03891251": "park_bench",
|
706 |
-
"n03891332": "parking_meter",
|
707 |
-
"n03895866": "passenger_car",
|
708 |
-
"n03899768": "patio",
|
709 |
-
"n03902125": "pay-phone",
|
710 |
-
"n03903868": "pedestal",
|
711 |
-
"n03908618": "pencil_box",
|
712 |
-
"n03908714": "pencil_sharpener",
|
713 |
-
"n03916031": "perfume",
|
714 |
-
"n03920288": "Petri_dish",
|
715 |
-
"n03924679": "photocopier",
|
716 |
-
"n03929660": "pick",
|
717 |
-
"n03929855": "pickelhaube",
|
718 |
-
"n03930313": "picket_fence",
|
719 |
-
"n03930630": "pickup",
|
720 |
-
"n03933933": "pier",
|
721 |
-
"n03935335": "piggy_bank",
|
722 |
-
"n03937543": "pill_bottle",
|
723 |
-
"n03938244": "pillow",
|
724 |
-
"n03942813": "ping-pong_ball",
|
725 |
-
"n03944341": "pinwheel",
|
726 |
-
"n03947888": "pirate",
|
727 |
-
"n03950228": "pitcher",
|
728 |
-
"n03954731": "plane",
|
729 |
-
"n03956157": "planetarium",
|
730 |
-
"n03958227": "plastic_bag",
|
731 |
-
"n03961711": "plate_rack",
|
732 |
-
"n03967562": "plow",
|
733 |
-
"n03970156": "plunger",
|
734 |
-
"n03976467": "Polaroid_camera",
|
735 |
-
"n03976657": "pole",
|
736 |
-
"n03977966": "police_van",
|
737 |
-
"n03980874": "poncho",
|
738 |
-
"n03982430": "pool_table",
|
739 |
-
"n03983396": "pop_bottle",
|
740 |
-
"n03991062": "pot",
|
741 |
-
"n03992509": "potter's_wheel",
|
742 |
-
"n03995372": "power_drill",
|
743 |
-
"n03998194": "prayer_rug",
|
744 |
-
"n04004767": "printer",
|
745 |
-
"n04005630": "prison",
|
746 |
-
"n04008634": "projectile",
|
747 |
-
"n04009552": "projector",
|
748 |
-
"n04019541": "puck",
|
749 |
-
"n04023962": "punching_bag",
|
750 |
-
"n04026417": "purse",
|
751 |
-
"n04033901": "quill",
|
752 |
-
"n04033995": "quilt",
|
753 |
-
"n04037443": "racer",
|
754 |
-
"n04039381": "racket",
|
755 |
-
"n04040759": "radiator",
|
756 |
-
"n04041544": "radio",
|
757 |
-
"n04044716": "radio_telescope",
|
758 |
-
"n04049303": "rain_barrel",
|
759 |
-
"n04065272": "recreational_vehicle",
|
760 |
-
"n04067472": "reel",
|
761 |
-
"n04069434": "reflex_camera",
|
762 |
-
"n04070727": "refrigerator",
|
763 |
-
"n04074963": "remote_control",
|
764 |
-
"n04081281": "restaurant",
|
765 |
-
"n04086273": "revolver",
|
766 |
-
"n04090263": "rifle",
|
767 |
-
"n04099969": "rocking_chair",
|
768 |
-
"n04111531": "rotisserie",
|
769 |
-
"n04116512": "rubber_eraser",
|
770 |
-
"n04118538": "rugby_ball",
|
771 |
-
"n04118776": "rule",
|
772 |
-
"n04120489": "running_shoe",
|
773 |
-
"n04125021": "safe",
|
774 |
-
"n04127249": "safety_pin",
|
775 |
-
"n04131690": "saltshaker",
|
776 |
-
"n04133789": "sandal",
|
777 |
-
"n04136333": "sarong",
|
778 |
-
"n04141076": "sax",
|
779 |
-
"n04141327": "scabbard",
|
780 |
-
"n04141975": "scale",
|
781 |
-
"n04146614": "school_bus",
|
782 |
-
"n04147183": "schooner",
|
783 |
-
"n04149813": "scoreboard",
|
784 |
-
"n04152593": "screen",
|
785 |
-
"n04153751": "screw",
|
786 |
-
"n04154565": "screwdriver",
|
787 |
-
"n04162706": "seat_belt",
|
788 |
-
"n04179913": "sewing_machine",
|
789 |
-
"n04192698": "shield",
|
790 |
-
"n04200800": "shoe_shop",
|
791 |
-
"n04201297": "shoji",
|
792 |
-
"n04204238": "shopping_basket",
|
793 |
-
"n04204347": "shopping_cart",
|
794 |
-
"n04208210": "shovel",
|
795 |
-
"n04209133": "shower_cap",
|
796 |
-
"n04209239": "shower_curtain",
|
797 |
-
"n04228054": "ski",
|
798 |
-
"n04229816": "ski_mask",
|
799 |
-
"n04235860": "sleeping_bag",
|
800 |
-
"n04238763": "slide_rule",
|
801 |
-
"n04239074": "sliding_door",
|
802 |
-
"n04243546": "slot",
|
803 |
-
"n04251144": "snorkel",
|
804 |
-
"n04252077": "snowmobile",
|
805 |
-
"n04252225": "snowplow",
|
806 |
-
"n04254120": "soap_dispenser",
|
807 |
-
"n04254680": "soccer_ball",
|
808 |
-
"n04254777": "sock",
|
809 |
-
"n04258138": "solar_dish",
|
810 |
-
"n04259630": "sombrero",
|
811 |
-
"n04263257": "soup_bowl",
|
812 |
-
"n04264628": "space_bar",
|
813 |
-
"n04265275": "space_heater",
|
814 |
-
"n04266014": "space_shuttle",
|
815 |
-
"n04270147": "spatula",
|
816 |
-
"n04273569": "speedboat",
|
817 |
-
"n04275548": "spider_web",
|
818 |
-
"n04277352": "spindle",
|
819 |
-
"n04285008": "sports_car",
|
820 |
-
"n04286575": "spotlight",
|
821 |
-
"n04296562": "stage",
|
822 |
-
"n04310018": "steam_locomotive",
|
823 |
-
"n04311004": "steel_arch_bridge",
|
824 |
-
"n04311174": "steel_drum",
|
825 |
-
"n04317175": "stethoscope",
|
826 |
-
"n04325704": "stole",
|
827 |
-
"n04326547": "stone_wall",
|
828 |
-
"n04328186": "stopwatch",
|
829 |
-
"n04330267": "stove",
|
830 |
-
"n04332243": "strainer",
|
831 |
-
"n04335435": "streetcar",
|
832 |
-
"n04336792": "stretcher",
|
833 |
-
"n04344873": "studio_couch",
|
834 |
-
"n04346328": "stupa",
|
835 |
-
"n04347754": "submarine",
|
836 |
-
"n04350905": "suit",
|
837 |
-
"n04355338": "sundial",
|
838 |
-
"n04355933": "sunglass",
|
839 |
-
"n04356056": "sunglasses",
|
840 |
-
"n04357314": "sunscreen",
|
841 |
-
"n04366367": "suspension_bridge",
|
842 |
-
"n04367480": "swab",
|
843 |
-
"n04370456": "sweatshirt",
|
844 |
-
"n04371430": "swimming_trunks",
|
845 |
-
"n04371774": "swing",
|
846 |
-
"n04372370": "switch",
|
847 |
-
"n04376876": "syringe",
|
848 |
-
"n04380533": "table_lamp",
|
849 |
-
"n04389033": "tank",
|
850 |
-
"n04392985": "tape_player",
|
851 |
-
"n04398044": "teapot",
|
852 |
-
"n04399382": "teddy",
|
853 |
-
"n04404412": "television",
|
854 |
-
"n04409515": "tennis_ball",
|
855 |
-
"n04417672": "thatch",
|
856 |
-
"n04418357": "theater_curtain",
|
857 |
-
"n04423845": "thimble",
|
858 |
-
"n04428191": "thresher",
|
859 |
-
"n04429376": "throne",
|
860 |
-
"n04435653": "tile_roof",
|
861 |
-
"n04442312": "toaster",
|
862 |
-
"n04443257": "tobacco_shop",
|
863 |
-
"n04447861": "toilet_seat",
|
864 |
-
"n04456115": "torch",
|
865 |
-
"n04458633": "totem_pole",
|
866 |
-
"n04461696": "tow_truck",
|
867 |
-
"n04462240": "toyshop",
|
868 |
-
"n04465501": "tractor",
|
869 |
-
"n04467665": "trailer_truck",
|
870 |
-
"n04476259": "tray",
|
871 |
-
"n04479046": "trench_coat",
|
872 |
-
"n04482393": "tricycle",
|
873 |
-
"n04483307": "trimaran",
|
874 |
-
"n04485082": "tripod",
|
875 |
-
"n04486054": "triumphal_arch",
|
876 |
-
"n04487081": "trolleybus",
|
877 |
-
"n04487394": "trombone",
|
878 |
-
"n04493381": "tub",
|
879 |
-
"n04501370": "turnstile",
|
880 |
-
"n04505470": "typewriter_keyboard",
|
881 |
-
"n04507155": "umbrella",
|
882 |
-
"n04509417": "unicycle",
|
883 |
-
"n04515003": "upright",
|
884 |
-
"n04517823": "vacuum",
|
885 |
-
"n04522168": "vase",
|
886 |
-
"n04523525": "vault",
|
887 |
-
"n04525038": "velvet",
|
888 |
-
"n04525305": "vending_machine",
|
889 |
-
"n04532106": "vestment",
|
890 |
-
"n04532670": "viaduct",
|
891 |
-
"n04536866": "violin",
|
892 |
-
"n04540053": "volleyball",
|
893 |
-
"n04542943": "waffle_iron",
|
894 |
-
"n04548280": "wall_clock",
|
895 |
-
"n04548362": "wallet",
|
896 |
-
"n04550184": "wardrobe",
|
897 |
-
"n04552348": "warplane",
|
898 |
-
"n04553703": "washbasin",
|
899 |
-
"n04554684": "washer",
|
900 |
-
"n04557648": "water_bottle",
|
901 |
-
"n04560804": "water_jug",
|
902 |
-
"n04562935": "water_tower",
|
903 |
-
"n04579145": "whiskey_jug",
|
904 |
-
"n04579432": "whistle",
|
905 |
-
"n04584207": "wig",
|
906 |
-
"n04589890": "window_screen",
|
907 |
-
"n04590129": "window_shade",
|
908 |
-
"n04591157": "Windsor_tie",
|
909 |
-
"n04591713": "wine_bottle",
|
910 |
-
"n04592741": "wing",
|
911 |
-
"n04596742": "wok",
|
912 |
-
"n04597913": "wooden_spoon",
|
913 |
-
"n04599235": "wool",
|
914 |
-
"n04604644": "worm_fence",
|
915 |
-
"n04606251": "wreck",
|
916 |
-
"n04612504": "yawl",
|
917 |
-
"n04613696": "yurt",
|
918 |
-
"n06359193": "web_site",
|
919 |
-
"n06596364": "comic_book",
|
920 |
-
"n06785654": "crossword_puzzle",
|
921 |
-
"n06794110": "street_sign",
|
922 |
-
"n06874185": "traffic_light",
|
923 |
-
"n07248320": "book_jacket",
|
924 |
-
"n07565083": "menu",
|
925 |
-
"n07579787": "plate",
|
926 |
-
"n07583066": "guacamole",
|
927 |
-
"n07584110": "consomme",
|
928 |
-
"n07590611": "hot_pot",
|
929 |
-
"n07613480": "trifle",
|
930 |
-
"n07614500": "ice_cream",
|
931 |
-
"n07615774": "ice_lolly",
|
932 |
-
"n07684084": "French_loaf",
|
933 |
-
"n07693725": "bagel",
|
934 |
-
"n07695742": "pretzel",
|
935 |
-
"n07697313": "cheeseburger",
|
936 |
-
"n07697537": "hotdog",
|
937 |
-
"n07711569": "mashed_potato",
|
938 |
-
"n07714571": "head_cabbage",
|
939 |
-
"n07714990": "broccoli",
|
940 |
-
"n07715103": "cauliflower",
|
941 |
-
"n07716358": "zucchini",
|
942 |
-
"n07716906": "spaghetti_squash",
|
943 |
-
"n07717410": "acorn_squash",
|
944 |
-
"n07717556": "butternut_squash",
|
945 |
-
"n07718472": "cucumber",
|
946 |
-
"n07718747": "artichoke",
|
947 |
-
"n07720875": "bell_pepper",
|
948 |
-
"n07730033": "cardoon",
|
949 |
-
"n07734744": "mushroom",
|
950 |
-
"n07742313": "Granny_Smith",
|
951 |
-
"n07745940": "strawberry",
|
952 |
-
"n07747607": "orange",
|
953 |
-
"n07749582": "lemon",
|
954 |
-
"n07753113": "fig",
|
955 |
-
"n07753275": "pineapple",
|
956 |
-
"n07753592": "banana",
|
957 |
-
"n07754684": "jackfruit",
|
958 |
-
"n07760859": "custard_apple",
|
959 |
-
"n07768694": "pomegranate",
|
960 |
-
"n07802026": "hay",
|
961 |
-
"n07831146": "carbonara",
|
962 |
-
"n07836838": "chocolate_sauce",
|
963 |
-
"n07860988": "dough",
|
964 |
-
"n07871810": "meat_loaf",
|
965 |
-
"n07873807": "pizza",
|
966 |
-
"n07875152": "potpie",
|
967 |
-
"n07880968": "burrito",
|
968 |
-
"n07892512": "red_wine",
|
969 |
-
"n07920052": "espresso",
|
970 |
-
"n07930864": "cup",
|
971 |
-
"n07932039": "eggnog",
|
972 |
-
"n09193705": "alp",
|
973 |
-
"n09229709": "bubble",
|
974 |
-
"n09246464": "cliff",
|
975 |
-
"n09256479": "coral_reef",
|
976 |
-
"n09288635": "geyser",
|
977 |
-
"n09332890": "lakeside",
|
978 |
-
"n09399592": "promontory",
|
979 |
-
"n09421951": "sandbar",
|
980 |
-
"n09428293": "seashore",
|
981 |
-
"n09468604": "valley",
|
982 |
-
"n09472597": "volcano",
|
983 |
-
"n09835506": "ballplayer",
|
984 |
-
"n10148035": "groom",
|
985 |
-
"n10565667": "scuba_diver",
|
986 |
-
"n11879895": "rapeseed",
|
987 |
-
"n11939491": "daisy",
|
988 |
-
"n12057211": "yellow_lady's_slipper",
|
989 |
-
"n12144580": "corn",
|
990 |
-
"n12267677": "acorn",
|
991 |
-
"n12620546": "hip",
|
992 |
-
"n12768682": "buckeye",
|
993 |
-
"n12985857": "coral_fungus",
|
994 |
-
"n12998815": "agaric",
|
995 |
-
"n13037406": "gyromitra",
|
996 |
-
"n13040303": "stinkhorn",
|
997 |
-
"n13044778": "earthstar",
|
998 |
-
"n13052670": "hen-of-the-woods",
|
999 |
-
"n13054560": "bolete",
|
1000 |
-
"n13133613": "ear",
|
1001 |
-
"n15075141": "toilet_tissue"
|
1002 |
-
}
|
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|
|
imagenette-160px/imagenette-train.parquet
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:df9027d02d6d6248e3c8053566cfdb1365db4f2eaff15181325230884ad6ab69
|
3 |
+
size 74689471
|
imagenette-160px/imagenette-validation.parquet
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ba73baad05c7ae37119f9e16de02e305024969dc259b42a7e98308c84d082c2a
|
3 |
+
size 31007275
|
imagenette.py
DELETED
@@ -1,182 +0,0 @@
|
|
1 |
-
import os
|
2 |
-
import json
|
3 |
-
from pathlib import Path
|
4 |
-
|
5 |
-
import datasets
|
6 |
-
from datasets.tasks import ImageClassification
|
7 |
-
|
8 |
-
# Adapted from https://huggingface.co/datasets/nateraw/imagenette/blob/main/imagenette.py
|
9 |
-
|
10 |
-
_CITATION = """
|
11 |
-
@misc{imagenette,
|
12 |
-
author = "Jeremy Howard",
|
13 |
-
title = "imagenette",
|
14 |
-
url = "https://github.com/fastai/imagenette/"
|
15 |
-
}
|
16 |
-
"""
|
17 |
-
|
18 |
-
_DESCRIPTION = """\
|
19 |
-
# ImageNette
|
20 |
-
|
21 |
-
Imagenette is a subset of 10 easily classified classes from Imagenet (tench, English springer, cassette player, chain saw, church, French horn, garbage truck, gas pump, golf ball, parachute).
|
22 |
-
|
23 |
-
'Imagenette' is pronounced just like 'Imagenet', except with a corny inauthentic French accent.
|
24 |
-
If you've seen Peter Sellars in The Pink Panther, then think something like that.
|
25 |
-
It's important to ham up the accent as much as possible, otherwise people might not be sure whether you're refering to "Imagenette" or "Imagenet".
|
26 |
-
(Note to native French speakers: to avoid confusion, be sure to use a corny inauthentic American accent when saying "Imagenet".
|
27 |
-
Think something like the philosophy restaurant skit from Monty Python's The Meaning of Life.)
|
28 |
-
|
29 |
-
This version of the dataset allows researchers/practitioners to quickly try out
|
30 |
-
ideas and share with others. The dataset comes in three variants:
|
31 |
-
* Full size
|
32 |
-
* 320 px
|
33 |
-
* 160 px
|
34 |
-
|
35 |
-
The '320 px' and '160 px' versions have their shortest side resized to that size, with their aspect ratio maintained.
|
36 |
-
|
37 |
-
|
38 |
-
Too easy for you? In that case, you might want to try Imagewoof.
|
39 |
-
|
40 |
-
# Imagewoof
|
41 |
-
Imagewoof is a subset of 10 classes from Imagenet that aren't so easy to classify, since they're all dog breeds.
|
42 |
-
The breeds are: Australian terrier, Border terrier, Samoyed, Beagle, Shih-Tzu, English foxhound, Rhodesian ridgeback, Dingo, Golden retriever, Old English sheepdog.
|
43 |
-
(No we will not enter in to any discussion in to whether a dingo is in fact a dog.
|
44 |
-
Any suggestions to the contrary are un-Australian. Thank you for your cooperation.)
|
45 |
-
|
46 |
-
Full size download;
|
47 |
-
320 px download;
|
48 |
-
160 px download.
|
49 |
-
"""
|
50 |
-
|
51 |
-
_URL_PREFIX = "https://s3.amazonaws.com/fast-ai-imageclas/"
|
52 |
-
_URL_IMAGENET_REFS = 'https://huggingface.co/datasets/jerpint/imagenette/raw/main/imagenet_refs.json'
|
53 |
-
|
54 |
-
_LABELS = {
|
55 |
-
"imagenette": [
|
56 |
-
"cassette_player",
|
57 |
-
"chain_saw",
|
58 |
-
"church",
|
59 |
-
"English_springer",
|
60 |
-
"French_horn",
|
61 |
-
"garbage_truck",
|
62 |
-
"gas_pump",
|
63 |
-
"golf_ball",
|
64 |
-
"parachute",
|
65 |
-
"tench",
|
66 |
-
],
|
67 |
-
"imagewoof": [
|
68 |
-
"Australian_terrier",
|
69 |
-
"beagle",
|
70 |
-
"Border_terrier",
|
71 |
-
"dingo",
|
72 |
-
"English_foxhound",
|
73 |
-
"golden_retriever",
|
74 |
-
"Old_English_sheepdog",
|
75 |
-
"Rhodesian_ridgeback",
|
76 |
-
"Samoyed",
|
77 |
-
"Shih-Tzu",
|
78 |
-
],
|
79 |
-
}
|
80 |
-
|
81 |
-
|
82 |
-
_NAME_TO_DIR = {
|
83 |
-
"imagenette-full-res": "imagenette2",
|
84 |
-
"imagenette-320px": "imagenette2-320",
|
85 |
-
"imagenette-160px": "imagenette2-160",
|
86 |
-
"imagewoof-full-res": "imagewoof2",
|
87 |
-
"imagewoof-320px": "imagewoof2-320",
|
88 |
-
"imagewoof-160px": "imagewoof2-160",
|
89 |
-
}
|
90 |
-
|
91 |
-
|
92 |
-
class ImagenetteConfig(datasets.BuilderConfig):
|
93 |
-
"""BuilderConfig for Imagenette."""
|
94 |
-
|
95 |
-
def __init__(self, name, **kwargs):
|
96 |
-
super(ImagenetteConfig, self).__init__(
|
97 |
-
name=name, description="{} version.".format(name), **kwargs
|
98 |
-
)
|
99 |
-
|
100 |
-
self.dataset = name.split("-")[0]
|
101 |
-
self.labels = _LABELS[self.dataset]
|
102 |
-
self.name = name
|
103 |
-
|
104 |
-
|
105 |
-
|
106 |
-
def _make_builder_configs():
|
107 |
-
return [ImagenetteConfig(name) for name in _NAME_TO_DIR]
|
108 |
-
|
109 |
-
|
110 |
-
class Imagenette(datasets.GeneratorBasedBuilder):
|
111 |
-
"""A smaller subset of 10 easily classified classes from Imagenet."""
|
112 |
-
|
113 |
-
VERSION = datasets.Version("1.0.0")
|
114 |
-
|
115 |
-
BUILDER_CONFIGS = _make_builder_configs()
|
116 |
-
|
117 |
-
def _info(self):
|
118 |
-
return datasets.DatasetInfo(
|
119 |
-
# builder=self,
|
120 |
-
description=_DESCRIPTION,
|
121 |
-
features=datasets.Features(
|
122 |
-
{
|
123 |
-
"image": datasets.Image(),
|
124 |
-
"labels": datasets.ClassLabel(names=self.config.labels),
|
125 |
-
}
|
126 |
-
),
|
127 |
-
supervised_keys=("path", "labels"),
|
128 |
-
homepage="https://github.com/fastai/imagenette",
|
129 |
-
citation=_CITATION,
|
130 |
-
task_templates=[
|
131 |
-
ImageClassification(
|
132 |
-
image_column="path",
|
133 |
-
label_column="labels",
|
134 |
-
)
|
135 |
-
],
|
136 |
-
)
|
137 |
-
|
138 |
-
def _split_generators(self, dl_manager):
|
139 |
-
"""Returns SplitGenerators."""
|
140 |
-
print(self.__dict__.keys())
|
141 |
-
print(self.config)
|
142 |
-
name = self.config.name
|
143 |
-
dirname = _NAME_TO_DIR[name]
|
144 |
-
|
145 |
-
|
146 |
-
# Download the ref:label map for imagenet
|
147 |
-
refs_path = dl_manager.download(_URL_IMAGENET_REFS)
|
148 |
-
with open(refs_path) as f:
|
149 |
-
self.ref_to_label = json.load(f)
|
150 |
-
|
151 |
-
|
152 |
-
url = _URL_PREFIX + "{}.tgz".format(dirname)
|
153 |
-
path = dl_manager.download_and_extract(url)
|
154 |
-
train_path = os.path.join(path, dirname, "train")
|
155 |
-
val_path = os.path.join(path, dirname, "val")
|
156 |
-
assert os.path.exists(train_path)
|
157 |
-
return [
|
158 |
-
datasets.SplitGenerator(
|
159 |
-
name=datasets.Split.TRAIN,
|
160 |
-
gen_kwargs={
|
161 |
-
"datapath": train_path,
|
162 |
-
},
|
163 |
-
),
|
164 |
-
datasets.SplitGenerator(
|
165 |
-
name=datasets.Split.VALIDATION,
|
166 |
-
gen_kwargs={
|
167 |
-
"datapath": val_path,
|
168 |
-
},
|
169 |
-
),
|
170 |
-
]
|
171 |
-
|
172 |
-
def _generate_examples(self, datapath):
|
173 |
-
"""Yields examples."""
|
174 |
-
|
175 |
-
for path in Path(datapath).glob("**/*.JPEG"):
|
176 |
-
record = {
|
177 |
-
# In Imagenette, the parent folder of the file is
|
178 |
-
# the imagenet reference to the label name.
|
179 |
-
"image": str(path),
|
180 |
-
"labels": self.ref_to_label[path.parent.name],
|
181 |
-
}
|
182 |
-
yield path.name, record
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