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- saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md DELETED
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- ---
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- license: mit
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- ---
 
 
 
 
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imagenet-sketch.py DELETED
@@ -1,1093 +0,0 @@
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- # coding=utf-8
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- # Copyright 2021 The HuggingFace Datasets Authors and the current dataset script contributor.
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- #
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- # Licensed under the Apache License, Version 2.0 (the "License");
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- # you may not use this file except in compliance with the License.
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- # You may obtain a copy of the License at
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- #
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- # http://www.apache.org/licenses/LICENSE-2.0
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- #
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- # Unless required by applicable law or agreed to in writing, software
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- # distributed under the License is distributed on an "AS IS" BASIS,
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- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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- # See the License for the specific language governing permissions and
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- # limitations under the License.
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- """ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale"""
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-
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- import os
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-
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- import datasets
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- from datasets.tasks import ImageClassification
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-
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- # from classes import IMAGENET2012_CLASSES
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-
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- _HOMEPAGE = "https://github.com/HaohanWang/ImageNet-Sketch"
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-
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- _CITATION = """\
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- @inproceedings{wang2019learning,
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- title={Learning Robust Global Representations by Penalizing Local Predictive Power},
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- author={Wang, Haohan and Ge, Songwei and Lipton, Zachary and Xing, Eric P},
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- booktitle={Advances in Neural Information Processing Systems},
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- pages={10506--10518},
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- year={2019}
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- }
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- """
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-
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- _DESCRIPTION = """\
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- ImageNet-Sketch data set consists of 50000 images, 50 images for each of the 1000 ImageNet classes.
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- We construct the data set with Google Image queries "sketch of __", where __ is the standard class name.
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- We only search within the "black and white" color scheme. We initially query 100 images for every class,
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- and then manually clean the pulled images by deleting the irrelevant images and images that are for similar
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- but different classes. For some classes, there are less than 50 images after manually cleaning, and then we
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- augment the data set by flipping and rotating the images.
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- """
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-
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- _URL = "https://drive.google.com/uc?id=1Mj0i5HBthqH1p_yeXzsg22gZduvgoNeA"
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-
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- ###### classes.py #######
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- from collections import OrderedDict
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-
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-
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- IMAGENET2012_CLASSES = OrderedDict(
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- {
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- "n01440764": "tench, Tinca tinca",
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- "n01443537": "goldfish, Carassius auratus",
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- "n01484850": "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias",
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- "n01491361": "tiger shark, Galeocerdo cuvieri",
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- "n01494475": "hammerhead, hammerhead shark",
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- "n01496331": "electric ray, crampfish, numbfish, torpedo",
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- "n01498041": "stingray",
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- "n01514668": "cock",
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- "n01514859": "hen",
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- "n01518878": "ostrich, Struthio camelus",
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- "n01530575": "brambling, Fringilla montifringilla",
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- "n01531178": "goldfinch, Carduelis carduelis",
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- "n01532829": "house finch, linnet, Carpodacus mexicanus",
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- "n01534433": "junco, snowbird",
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- "n01537544": "indigo bunting, indigo finch, indigo bird, Passerina cyanea",
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- "n01558993": "robin, American robin, Turdus migratorius",
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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, dipper",
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- "n01608432": "kite",
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- "n01614925": "bald eagle, American eagle, Haliaeetus leucocephalus",
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- "n01616318": "vulture",
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- "n01622779": "great grey owl, great gray owl, Strix nebulosa",
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- "n01629819": "European fire salamander, Salamandra salamandra",
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- "n01630670": "common newt, Triturus vulgaris",
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- "n01631663": "eft",
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- "n01632458": "spotted salamander, Ambystoma maculatum",
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- "n01632777": "axolotl, mud puppy, Ambystoma mexicanum",
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- "n01641577": "bullfrog, Rana catesbeiana",
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- "n01644373": "tree frog, tree-frog",
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- "n01644900": "tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui",
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- "n01664065": "loggerhead, loggerhead turtle, Caretta caretta",
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- "n01665541": "leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea",
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- "n01667114": "mud turtle",
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- "n01667778": "terrapin",
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- "n01669191": "box turtle, box tortoise",
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- "n01675722": "banded gecko",
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- "n01677366": "common iguana, iguana, Iguana iguana",
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- "n01682714": "American chameleon, anole, Anolis carolinensis",
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- "n01685808": "whiptail, whiptail lizard",
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- "n01687978": "agama",
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- "n01688243": "frilled lizard, Chlamydosaurus kingi",
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- "n01689811": "alligator lizard",
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- "n01692333": "Gila monster, Heloderma suspectum",
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- "n01693334": "green lizard, Lacerta viridis",
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- "n01694178": "African chameleon, Chamaeleo chamaeleon",
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- "n01695060": "Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis",
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- "n01697457": "African crocodile, Nile crocodile, Crocodylus niloticus",
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- "n01698640": "American alligator, Alligator mississipiensis",
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- "n01704323": "triceratops",
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- "n01728572": "thunder snake, worm snake, Carphophis amoenus",
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- "n01728920": "ringneck snake, ring-necked snake, ring snake",
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- "n01729322": "hognose snake, puff adder, sand viper",
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- "n01729977": "green snake, grass snake",
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- "n01734418": "king snake, kingsnake",
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- "n01735189": "garter snake, grass snake",
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- "n01737021": "water snake",
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- "n01739381": "vine snake",
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- "n01740131": "night snake, Hypsiglena torquata",
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- "n01742172": "boa constrictor, Constrictor constrictor",
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- "n01744401": "rock python, rock snake, Python sebae",
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- "n01748264": "Indian cobra, Naja naja",
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- "n01749939": "green mamba",
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- "n01751748": "sea snake",
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- "n01753488": "horned viper, cerastes, sand viper, horned asp, Cerastes cornutus",
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- "n01755581": "diamondback, diamondback rattlesnake, Crotalus adamanteus",
121
- "n01756291": "sidewinder, horned rattlesnake, Crotalus cerastes",
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- "n01768244": "trilobite",
123
- "n01770081": "harvestman, daddy longlegs, Phalangium opilio",
124
- "n01770393": "scorpion",
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- "n01773157": "black and gold garden spider, Argiope aurantia",
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- "n01773549": "barn spider, Araneus cavaticus",
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- "n01773797": "garden spider, Aranea diademata",
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- "n01774384": "black widow, Latrodectus mactans",
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- "n01774750": "tarantula",
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- "n01775062": "wolf spider, hunting 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, partridge, Bonasa umbellus",
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- "n01798484": "prairie chicken, prairie grouse, prairie fowl",
137
- "n01806143": "peacock",
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- "n01806567": "quail",
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- "n01807496": "partridge",
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- "n01817953": "African grey, African gray, Psittacus erithacus",
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- "n01818515": "macaw",
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- "n01819313": "sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita",
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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, Mergus serrator",
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- "n01855672": "goose",
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- "n01860187": "black swan, Cygnus atratus",
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- "n01871265": "tusker",
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- "n01872401": "echidna, spiny anteater, anteater",
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- "n01873310": "platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus",
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- "n01877812": "wallaby, brush kangaroo",
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- "n01882714": "koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus",
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- "n01883070": "wombat",
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- "n01910747": "jellyfish",
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- "n01914609": "sea anemone, anemone",
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- "n01917289": "brain coral",
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- "n01924916": "flatworm, platyhelminth",
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- "n01930112": "nematode, nematode worm, roundworm",
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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, nudibranch",
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- "n01955084": "chiton, coat-of-mail shell, sea cradle, polyplacophore",
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- "n01968897": "chambered nautilus, pearly nautilus, nautilus",
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- "n01978287": "Dungeness crab, Cancer magister",
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- "n01978455": "rock crab, Cancer irroratus",
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- "n01980166": "fiddler crab",
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- "n01981276": "king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica",
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- "n01983481": "American lobster, Northern lobster, Maine lobster, Homarus americanus",
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- "n01984695": "spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish",
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- "n01985128": "crayfish, crawfish, crawdad, crawdaddy",
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- "n01986214": "hermit crab",
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- "n01990800": "isopod",
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- "n02002556": "white stork, Ciconia ciconia",
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- "n02002724": "black stork, Ciconia nigra",
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- "n02006656": "spoonbill",
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- "n02007558": "flamingo",
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- "n02009229": "little blue heron, Egretta caerulea",
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- "n02009912": "American egret, great white heron, Egretta albus",
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- "n02011460": "bittern",
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- "n02012849": "crane",
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- "n02013706": "limpkin, Aramus pictus",
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- "n02017213": "European gallinule, Porphyrio porphyrio",
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- "n02018207": "American coot, marsh hen, mud hen, water hen, Fulica americana",
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- "n02018795": "bustard",
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- "n02025239": "ruddy turnstone, Arenaria interpres",
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- "n02027492": "red-backed sandpiper, dunlin, Erolia alpina",
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- "n02028035": "redshank, Tringa totanus",
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- "n02033041": "dowitcher",
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- "n02037110": "oystercatcher, oyster catcher",
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- "n02051845": "pelican",
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- "n02056570": "king penguin, Aptenodytes patagonica",
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- "n02058221": "albatross, mollymawk",
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- "n02066245": "grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus",
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- "n02071294": "killer whale, killer, orca, grampus, sea wolf, Orcinus orca",
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- "n02074367": "dugong, Dugong dugon",
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- "n02077923": "sea lion",
204
- "n02085620": "Chihuahua",
205
- "n02085782": "Japanese spaniel",
206
- "n02085936": "Maltese dog, Maltese terrier, Maltese",
207
- "n02086079": "Pekinese, Pekingese, Peke",
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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, Afghan",
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- "n02088238": "basset, basset hound",
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- "n02088364": "beagle",
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- "n02088466": "bloodhound, sleuthhound",
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- "n02088632": "bluetick",
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- "n02089078": "black-and-tan coonhound",
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- "n02089867": "Walker hound, Walker foxhound",
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- "n02089973": "English foxhound",
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- "n02090379": "redbone",
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- "n02090622": "borzoi, Russian wolfhound",
223
- "n02090721": "Irish wolfhound",
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- "n02091032": "Italian greyhound",
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- "n02091134": "whippet",
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- "n02091244": "Ibizan hound, Ibizan Podenco",
227
- "n02091467": "Norwegian elkhound, elkhound",
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- "n02091635": "otterhound, otter hound",
229
- "n02091831": "Saluki, gazelle hound",
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- "n02092002": "Scottish deerhound, deerhound",
231
- "n02092339": "Weimaraner",
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- "n02093256": "Staffordshire bullterrier, Staffordshire bull terrier",
233
- "n02093428": "American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier",
234
- "n02093647": "Bedlington terrier",
235
- "n02093754": "Border terrier",
236
- "n02093859": "Kerry blue terrier",
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- "n02093991": "Irish terrier",
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- "n02094114": "Norfolk terrier",
239
- "n02094258": "Norwich terrier",
240
- "n02094433": "Yorkshire terrier",
241
- "n02095314": "wire-haired fox terrier",
242
- "n02095570": "Lakeland terrier",
243
- "n02095889": "Sealyham terrier, Sealyham",
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- "n02096051": "Airedale, Airedale terrier",
245
- "n02096177": "cairn, cairn terrier",
246
- "n02096294": "Australian terrier",
247
- "n02096437": "Dandie Dinmont, Dandie Dinmont terrier",
248
- "n02096585": "Boston bull, Boston terrier",
249
- "n02097047": "miniature schnauzer",
250
- "n02097130": "giant schnauzer",
251
- "n02097209": "standard schnauzer",
252
- "n02097298": "Scotch terrier, Scottish terrier, Scottie",
253
- "n02097474": "Tibetan terrier, chrysanthemum dog",
254
- "n02097658": "silky terrier, Sydney silky",
255
- "n02098105": "soft-coated wheaten terrier",
256
- "n02098286": "West Highland white terrier",
257
- "n02098413": "Lhasa, Lhasa apso",
258
- "n02099267": "flat-coated retriever",
259
- "n02099429": "curly-coated retriever",
260
- "n02099601": "golden retriever",
261
- "n02099712": "Labrador retriever",
262
- "n02099849": "Chesapeake Bay retriever",
263
- "n02100236": "German short-haired pointer",
264
- "n02100583": "vizsla, Hungarian pointer",
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- "n02100735": "English setter",
266
- "n02100877": "Irish setter, red setter",
267
- "n02101006": "Gordon setter",
268
- "n02101388": "Brittany spaniel",
269
- "n02101556": "clumber, clumber spaniel",
270
- "n02102040": "English springer, English springer spaniel",
271
- "n02102177": "Welsh springer spaniel",
272
- "n02102318": "cocker spaniel, English cocker spaniel, cocker",
273
- "n02102480": "Sussex spaniel",
274
- "n02102973": "Irish water spaniel",
275
- "n02104029": "kuvasz",
276
- "n02104365": "schipperke",
277
- "n02105056": "groenendael",
278
- "n02105162": "malinois",
279
- "n02105251": "briard",
280
- "n02105412": "kelpie",
281
- "n02105505": "komondor",
282
- "n02105641": "Old English sheepdog, bobtail",
283
- "n02105855": "Shetland sheepdog, Shetland sheep dog, Shetland",
284
- "n02106030": "collie",
285
- "n02106166": "Border collie",
286
- "n02106382": "Bouvier des Flandres, Bouviers des Flandres",
287
- "n02106550": "Rottweiler",
288
- "n02106662": "German shepherd, German shepherd dog, German police dog, alsatian",
289
- "n02107142": "Doberman, Doberman pinscher",
290
- "n02107312": "miniature pinscher",
291
- "n02107574": "Greater Swiss Mountain dog",
292
- "n02107683": "Bernese mountain dog",
293
- "n02107908": "Appenzeller",
294
- "n02108000": "EntleBucher",
295
- "n02108089": "boxer",
296
- "n02108422": "bull mastiff",
297
- "n02108551": "Tibetan mastiff",
298
- "n02108915": "French bulldog",
299
- "n02109047": "Great Dane",
300
- "n02109525": "Saint Bernard, St Bernard",
301
- "n02109961": "Eskimo dog, husky",
302
- "n02110063": "malamute, malemute, Alaskan malamute",
303
- "n02110185": "Siberian husky",
304
- "n02110341": "dalmatian, coach dog, carriage dog",
305
- "n02110627": "affenpinscher, monkey pinscher, monkey dog",
306
- "n02110806": "basenji",
307
- "n02110958": "pug, pug-dog",
308
- "n02111129": "Leonberg",
309
- "n02111277": "Newfoundland, Newfoundland dog",
310
- "n02111500": "Great Pyrenees",
311
- "n02111889": "Samoyed, Samoyede",
312
- "n02112018": "Pomeranian",
313
- "n02112137": "chow, chow chow",
314
- "n02112350": "keeshond",
315
- "n02112706": "Brabancon griffon",
316
- "n02113023": "Pembroke, Pembroke Welsh corgi",
317
- "n02113186": "Cardigan, Cardigan Welsh corgi",
318
- "n02113624": "toy poodle",
319
- "n02113712": "miniature poodle",
320
- "n02113799": "standard poodle",
321
- "n02113978": "Mexican hairless",
322
- "n02114367": "timber wolf, grey wolf, gray wolf, Canis lupus",
323
- "n02114548": "white wolf, Arctic wolf, Canis lupus tundrarum",
324
- "n02114712": "red wolf, maned wolf, Canis rufus, Canis niger",
325
- "n02114855": "coyote, prairie wolf, brush wolf, Canis latrans",
326
- "n02115641": "dingo, warrigal, warragal, Canis dingo",
327
- "n02115913": "dhole, Cuon alpinus",
328
- "n02116738": "African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus",
329
- "n02117135": "hyena, hyaena",
330
- "n02119022": "red fox, Vulpes vulpes",
331
- "n02119789": "kit fox, Vulpes macrotis",
332
- "n02120079": "Arctic fox, white fox, Alopex lagopus",
333
- "n02120505": "grey fox, gray fox, Urocyon cinereoargenteus",
334
- "n02123045": "tabby, tabby cat",
335
- "n02123159": "tiger cat",
336
- "n02123394": "Persian cat",
337
- "n02123597": "Siamese cat, Siamese",
338
- "n02124075": "Egyptian cat",
339
- "n02125311": "cougar, puma, catamount, mountain lion, painter, panther, Felis concolor",
340
- "n02127052": "lynx, catamount",
341
- "n02128385": "leopard, Panthera pardus",
342
- "n02128757": "snow leopard, ounce, Panthera uncia",
343
- "n02128925": "jaguar, panther, Panthera onca, Felis onca",
344
- "n02129165": "lion, king of beasts, Panthera leo",
345
- "n02129604": "tiger, Panthera tigris",
346
- "n02130308": "cheetah, chetah, Acinonyx jubatus",
347
- "n02132136": "brown bear, bruin, Ursus arctos",
348
- "n02133161": "American black bear, black bear, Ursus americanus, Euarctos americanus",
349
- "n02134084": "ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus",
350
- "n02134418": "sloth bear, Melursus ursinus, Ursus ursinus",
351
- "n02137549": "mongoose",
352
- "n02138441": "meerkat, mierkat",
353
- "n02165105": "tiger beetle",
354
- "n02165456": "ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle",
355
- "n02167151": "ground beetle, carabid beetle",
356
- "n02168699": "long-horned beetle, longicorn, longicorn beetle",
357
- "n02169497": "leaf beetle, chrysomelid",
358
- "n02172182": "dung beetle",
359
- "n02174001": "rhinoceros beetle",
360
- "n02177972": "weevil",
361
- "n02190166": "fly",
362
- "n02206856": "bee",
363
- "n02219486": "ant, emmet, pismire",
364
- "n02226429": "grasshopper, hopper",
365
- "n02229544": "cricket",
366
- "n02231487": "walking stick, walkingstick, stick insect",
367
- "n02233338": "cockroach, roach",
368
- "n02236044": "mantis, mantid",
369
- "n02256656": "cicada, cicala",
370
- "n02259212": "leafhopper",
371
- "n02264363": "lacewing, lacewing fly",
372
- "n02268443": "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",
373
- "n02268853": "damselfly",
374
- "n02276258": "admiral",
375
- "n02277742": "ringlet, ringlet butterfly",
376
- "n02279972": "monarch, monarch butterfly, milkweed butterfly, Danaus plexippus",
377
- "n02280649": "cabbage butterfly",
378
- "n02281406": "sulphur butterfly, sulfur butterfly",
379
- "n02281787": "lycaenid, lycaenid butterfly",
380
- "n02317335": "starfish, sea star",
381
- "n02319095": "sea urchin",
382
- "n02321529": "sea cucumber, holothurian",
383
- "n02325366": "wood rabbit, cottontail, cottontail rabbit",
384
- "n02326432": "hare",
385
- "n02328150": "Angora, Angora rabbit",
386
- "n02342885": "hamster",
387
- "n02346627": "porcupine, hedgehog",
388
- "n02356798": "fox squirrel, eastern fox squirrel, Sciurus niger",
389
- "n02361337": "marmot",
390
- "n02363005": "beaver",
391
- "n02364673": "guinea pig, Cavia cobaya",
392
- "n02389026": "sorrel",
393
- "n02391049": "zebra",
394
- "n02395406": "hog, pig, grunter, squealer, Sus scrofa",
395
- "n02396427": "wild boar, boar, Sus scrofa",
396
- "n02397096": "warthog",
397
- "n02398521": "hippopotamus, hippo, river horse, Hippopotamus amphibius",
398
- "n02403003": "ox",
399
- "n02408429": "water buffalo, water ox, Asiatic buffalo, Bubalus bubalis",
400
- "n02410509": "bison",
401
- "n02412080": "ram, tup",
402
- "n02415577": "bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis",
403
- "n02417914": "ibex, Capra ibex",
404
- "n02422106": "hartebeest",
405
- "n02422699": "impala, Aepyceros melampus",
406
- "n02423022": "gazelle",
407
- "n02437312": "Arabian camel, dromedary, Camelus dromedarius",
408
- "n02437616": "llama",
409
- "n02441942": "weasel",
410
- "n02442845": "mink",
411
- "n02443114": "polecat, fitch, foulmart, foumart, Mustela putorius",
412
- "n02443484": "black-footed ferret, ferret, Mustela nigripes",
413
- "n02444819": "otter",
414
- "n02445715": "skunk, polecat, wood pussy",
415
- "n02447366": "badger",
416
- "n02454379": "armadillo",
417
- "n02457408": "three-toed sloth, ai, Bradypus tridactylus",
418
- "n02480495": "orangutan, orang, orangutang, Pongo pygmaeus",
419
- "n02480855": "gorilla, Gorilla gorilla",
420
- "n02481823": "chimpanzee, chimp, Pan troglodytes",
421
- "n02483362": "gibbon, Hylobates lar",
422
- "n02483708": "siamang, Hylobates syndactylus, Symphalangus syndactylus",
423
- "n02484975": "guenon, guenon monkey",
424
- "n02486261": "patas, hussar monkey, Erythrocebus patas",
425
- "n02486410": "baboon",
426
- "n02487347": "macaque",
427
- "n02488291": "langur",
428
- "n02488702": "colobus, colobus monkey",
429
- "n02489166": "proboscis monkey, Nasalis larvatus",
430
- "n02490219": "marmoset",
431
- "n02492035": "capuchin, ringtail, Cebus capucinus",
432
- "n02492660": "howler monkey, howler",
433
- "n02493509": "titi, titi monkey",
434
- "n02493793": "spider monkey, Ateles geoffroyi",
435
- "n02494079": "squirrel monkey, Saimiri sciureus",
436
- "n02497673": "Madagascar cat, ring-tailed lemur, Lemur catta",
437
- "n02500267": "indri, indris, Indri indri, Indri brevicaudatus",
438
- "n02504013": "Indian elephant, Elephas maximus",
439
- "n02504458": "African elephant, Loxodonta africana",
440
- "n02509815": "lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens",
441
- "n02510455": "giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca",
442
- "n02514041": "barracouta, snoek",
443
- "n02526121": "eel",
444
- "n02536864": "coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch",
445
- "n02606052": "rock beauty, Holocanthus tricolor",
446
- "n02607072": "anemone fish",
447
- "n02640242": "sturgeon",
448
- "n02641379": "gar, garfish, garpike, billfish, Lepisosteus osseus",
449
- "n02643566": "lionfish",
450
- "n02655020": "puffer, pufferfish, blowfish, globefish",
451
- "n02666196": "abacus",
452
- "n02667093": "abaya",
453
- "n02669723": "academic gown, academic robe, judge's robe",
454
- "n02672831": "accordion, piano accordion, squeeze box",
455
- "n02676566": "acoustic guitar",
456
- "n02687172": "aircraft carrier, carrier, flattop, attack aircraft carrier",
457
- "n02690373": "airliner",
458
- "n02692877": "airship, dirigible",
459
- "n02699494": "altar",
460
- "n02701002": "ambulance",
461
- "n02704792": "amphibian, amphibious vehicle",
462
- "n02708093": "analog clock",
463
- "n02727426": "apiary, bee house",
464
- "n02730930": "apron",
465
- "n02747177": "ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin",
466
- "n02749479": "assault rifle, assault gun",
467
- "n02769748": "backpack, back pack, knapsack, packsack, rucksack, haversack",
468
- "n02776631": "bakery, bakeshop, bakehouse",
469
- "n02777292": "balance beam, beam",
470
- "n02782093": "balloon",
471
- "n02783161": "ballpoint, ballpoint pen, ballpen, Biro",
472
- "n02786058": "Band Aid",
473
- "n02787622": "banjo",
474
- "n02788148": "bannister, banister, balustrade, balusters, handrail",
475
- "n02790996": "barbell",
476
- "n02791124": "barber chair",
477
- "n02791270": "barbershop",
478
- "n02793495": "barn",
479
- "n02794156": "barometer",
480
- "n02795169": "barrel, cask",
481
- "n02797295": "barrow, garden cart, lawn cart, wheelbarrow",
482
- "n02799071": "baseball",
483
- "n02802426": "basketball",
484
- "n02804414": "bassinet",
485
- "n02804610": "bassoon",
486
- "n02807133": "bathing cap, swimming cap",
487
- "n02808304": "bath towel",
488
- "n02808440": "bathtub, bathing tub, bath, tub",
489
- "n02814533": "beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",
490
- "n02814860": "beacon, lighthouse, beacon light, pharos",
491
- "n02815834": "beaker",
492
- "n02817516": "bearskin, busby, shako",
493
- "n02823428": "beer bottle",
494
- "n02823750": "beer glass",
495
- "n02825657": "bell cote, bell cot",
496
- "n02834397": "bib",
497
- "n02835271": "bicycle-built-for-two, tandem bicycle, tandem",
498
- "n02837789": "bikini, two-piece",
499
- "n02840245": "binder, ring-binder",
500
- "n02841315": "binoculars, field glasses, opera glasses",
501
- "n02843684": "birdhouse",
502
- "n02859443": "boathouse",
503
- "n02860847": "bobsled, bobsleigh, bob",
504
- "n02865351": "bolo tie, bolo, bola tie, bola",
505
- "n02869837": "bonnet, poke bonnet",
506
- "n02870880": "bookcase",
507
- "n02871525": "bookshop, bookstore, bookstall",
508
- "n02877765": "bottlecap",
509
- "n02879718": "bow",
510
- "n02883205": "bow tie, bow-tie, bowtie",
511
- "n02892201": "brass, memorial tablet, plaque",
512
- "n02892767": "brassiere, bra, bandeau",
513
- "n02894605": "breakwater, groin, groyne, mole, bulwark, seawall, jetty",
514
- "n02895154": "breastplate, aegis, egis",
515
- "n02906734": "broom",
516
- "n02909870": "bucket, pail",
517
- "n02910353": "buckle",
518
- "n02916936": "bulletproof vest",
519
- "n02917067": "bullet train, bullet",
520
- "n02927161": "butcher shop, meat market",
521
- "n02930766": "cab, hack, taxi, taxicab",
522
- "n02939185": "caldron, cauldron",
523
- "n02948072": "candle, taper, wax light",
524
- "n02950826": "cannon",
525
- "n02951358": "canoe",
526
- "n02951585": "can opener, tin opener",
527
- "n02963159": "cardigan",
528
- "n02965783": "car mirror",
529
- "n02966193": "carousel, carrousel, merry-go-round, roundabout, whirligig",
530
- "n02966687": "carpenter's kit, tool kit",
531
- "n02971356": "carton",
532
- "n02974003": "car wheel",
533
- "n02977058": "cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM",
534
- "n02978881": "cassette",
535
- "n02979186": "cassette player",
536
- "n02980441": "castle",
537
- "n02981792": "catamaran",
538
- "n02988304": "CD player",
539
- "n02992211": "cello, violoncello",
540
- "n02992529": "cellular telephone, cellular phone, cellphone, cell, mobile phone",
541
- "n02999410": "chain",
542
- "n03000134": "chainlink fence",
543
- "n03000247": "chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour",
544
- "n03000684": "chain saw, chainsaw",
545
- "n03014705": "chest",
546
- "n03016953": "chiffonier, commode",
547
- "n03017168": "chime, bell, gong",
548
- "n03018349": "china cabinet, china closet",
549
- "n03026506": "Christmas stocking",
550
- "n03028079": "church, church building",
551
- "n03032252": "cinema, movie theater, movie theatre, movie house, picture palace",
552
- "n03041632": "cleaver, meat cleaver, chopper",
553
- "n03042490": "cliff dwelling",
554
- "n03045698": "cloak",
555
- "n03047690": "clog, geta, patten, sabot",
556
- "n03062245": "cocktail shaker",
557
- "n03063599": "coffee mug",
558
- "n03063689": "coffeepot",
559
- "n03065424": "coil, spiral, volute, whorl, helix",
560
- "n03075370": "combination lock",
561
- "n03085013": "computer keyboard, keypad",
562
- "n03089624": "confectionery, confectionary, candy store",
563
- "n03095699": "container ship, containership, container vessel",
564
- "n03100240": "convertible",
565
- "n03109150": "corkscrew, bottle screw",
566
- "n03110669": "cornet, horn, trumpet, trump",
567
- "n03124043": "cowboy boot",
568
- "n03124170": "cowboy hat, ten-gallon hat",
569
- "n03125729": "cradle",
570
- "n03126707": "crane2",
571
- "n03127747": "crash helmet",
572
- "n03127925": "crate",
573
- "n03131574": "crib, cot",
574
- "n03133878": "Crock Pot",
575
- "n03134739": "croquet ball",
576
- "n03141823": "crutch",
577
- "n03146219": "cuirass",
578
- "n03160309": "dam, dike, dyke",
579
- "n03179701": "desk",
580
- "n03180011": "desktop computer",
581
- "n03187595": "dial telephone, dial phone",
582
- "n03188531": "diaper, nappy, napkin",
583
- "n03196217": "digital clock",
584
- "n03197337": "digital watch",
585
- "n03201208": "dining table, board",
586
- "n03207743": "dishrag, dishcloth",
587
- "n03207941": "dishwasher, dish washer, dishwashing machine",
588
- "n03208938": "disk brake, disc brake",
589
- "n03216828": "dock, dockage, docking facility",
590
- "n03218198": "dogsled, dog sled, dog sleigh",
591
- "n03220513": "dome",
592
- "n03223299": "doormat, welcome mat",
593
- "n03240683": "drilling platform, offshore rig",
594
- "n03249569": "drum, membranophone, tympan",
595
- "n03250847": "drumstick",
596
- "n03255030": "dumbbell",
597
- "n03259280": "Dutch oven",
598
- "n03271574": "electric fan, blower",
599
- "n03272010": "electric guitar",
600
- "n03272562": "electric locomotive",
601
- "n03290653": "entertainment center",
602
- "n03291819": "envelope",
603
- "n03297495": "espresso maker",
604
- "n03314780": "face powder",
605
- "n03325584": "feather boa, boa",
606
- "n03337140": "file, file cabinet, filing cabinet",
607
- "n03344393": "fireboat",
608
- "n03345487": "fire engine, fire truck",
609
- "n03347037": "fire screen, fireguard",
610
- "n03355925": "flagpole, flagstaff",
611
- "n03372029": "flute, transverse flute",
612
- "n03376595": "folding chair",
613
- "n03379051": "football helmet",
614
- "n03384352": "forklift",
615
- "n03388043": "fountain",
616
- "n03388183": "fountain pen",
617
- "n03388549": "four-poster",
618
- "n03393912": "freight car",
619
- "n03394916": "French horn, horn",
620
- "n03400231": "frying pan, frypan, skillet",
621
- "n03404251": "fur coat",
622
- "n03417042": "garbage truck, dustcart",
623
- "n03424325": "gasmask, respirator, gas helmet",
624
- "n03425413": "gas pump, gasoline pump, petrol pump, island dispenser",
625
- "n03443371": "goblet",
626
- "n03444034": "go-kart",
627
- "n03445777": "golf ball",
628
- "n03445924": "golfcart, golf cart",
629
- "n03447447": "gondola",
630
- "n03447721": "gong, tam-tam",
631
- "n03450230": "gown",
632
- "n03452741": "grand piano, grand",
633
- "n03457902": "greenhouse, nursery, glasshouse",
634
- "n03459775": "grille, radiator grille",
635
- "n03461385": "grocery store, grocery, food market, market",
636
- "n03467068": "guillotine",
637
- "n03476684": "hair slide",
638
- "n03476991": "hair spray",
639
- "n03478589": "half track",
640
- "n03481172": "hammer",
641
- "n03482405": "hamper",
642
- "n03483316": "hand blower, blow dryer, blow drier, hair dryer, hair drier",
643
- "n03485407": "hand-held computer, hand-held microcomputer",
644
- "n03485794": "handkerchief, hankie, hanky, hankey",
645
- "n03492542": "hard disc, hard disk, fixed disk",
646
- "n03494278": "harmonica, mouth organ, harp, mouth harp",
647
- "n03495258": "harp",
648
- "n03496892": "harvester, reaper",
649
- "n03498962": "hatchet",
650
- "n03527444": "holster",
651
- "n03529860": "home theater, home theatre",
652
- "n03530642": "honeycomb",
653
- "n03532672": "hook, claw",
654
- "n03534580": "hoopskirt, crinoline",
655
- "n03535780": "horizontal bar, high bar",
656
- "n03538406": "horse cart, horse-cart",
657
- "n03544143": "hourglass",
658
- "n03584254": "iPod",
659
- "n03584829": "iron, smoothing iron",
660
- "n03590841": "jack-o'-lantern",
661
- "n03594734": "jean, blue jean, denim",
662
- "n03594945": "jeep, landrover",
663
- "n03595614": "jersey, T-shirt, tee shirt",
664
- "n03598930": "jigsaw puzzle",
665
- "n03599486": "jinrikisha, ricksha, rickshaw",
666
- "n03602883": "joystick",
667
- "n03617480": "kimono",
668
- "n03623198": "knee pad",
669
- "n03627232": "knot",
670
- "n03630383": "lab coat, laboratory coat",
671
- "n03633091": "ladle",
672
- "n03637318": "lampshade, lamp shade",
673
- "n03642806": "laptop, laptop computer",
674
- "n03649909": "lawn mower, mower",
675
- "n03657121": "lens cap, lens cover",
676
- "n03658185": "letter opener, paper knife, paperknife",
677
- "n03661043": "library",
678
- "n03662601": "lifeboat",
679
- "n03666591": "lighter, light, igniter, ignitor",
680
- "n03670208": "limousine, limo",
681
- "n03673027": "liner, ocean liner",
682
- "n03676483": "lipstick, lip rouge",
683
- "n03680355": "Loafer",
684
- "n03690938": "lotion",
685
- "n03691459": "loudspeaker, speaker, speaker unit, loudspeaker system, speaker system",
686
- "n03692522": "loupe, jeweler's loupe",
687
- "n03697007": "lumbermill, sawmill",
688
- "n03706229": "magnetic compass",
689
- "n03709823": "mailbag, postbag",
690
- "n03710193": "mailbox, letter box",
691
- "n03710637": "maillot",
692
- "n03710721": "maillot, tank suit",
693
- "n03717622": "manhole cover",
694
- "n03720891": "maraca",
695
- "n03721384": "marimba, xylophone",
696
- "n03724870": "mask",
697
- "n03729826": "matchstick",
698
- "n03733131": "maypole",
699
- "n03733281": "maze, labyrinth",
700
- "n03733805": "measuring cup",
701
- "n03742115": "medicine chest, medicine cabinet",
702
- "n03743016": "megalith, megalithic structure",
703
- "n03759954": "microphone, mike",
704
- "n03761084": "microwave, microwave oven",
705
- "n03763968": "military uniform",
706
- "n03764736": "milk can",
707
- "n03769881": "minibus",
708
- "n03770439": "miniskirt, mini",
709
- "n03770679": "minivan",
710
- "n03773504": "missile",
711
- "n03775071": "mitten",
712
- "n03775546": "mixing bowl",
713
- "n03776460": "mobile home, manufactured home",
714
- "n03777568": "Model T",
715
- "n03777754": "modem",
716
- "n03781244": "monastery",
717
- "n03782006": "monitor",
718
- "n03785016": "moped",
719
- "n03786901": "mortar",
720
- "n03787032": "mortarboard",
721
- "n03788195": "mosque",
722
- "n03788365": "mosquito net",
723
- "n03791053": "motor scooter, scooter",
724
- "n03792782": "mountain bike, all-terrain bike, off-roader",
725
- "n03792972": "mountain tent",
726
- "n03793489": "mouse, computer mouse",
727
- "n03794056": "mousetrap",
728
- "n03796401": "moving van",
729
- "n03803284": "muzzle",
730
- "n03804744": "nail",
731
- "n03814639": "neck brace",
732
- "n03814906": "necklace",
733
- "n03825788": "nipple",
734
- "n03832673": "notebook, notebook computer",
735
- "n03837869": "obelisk",
736
- "n03838899": "oboe, hautboy, hautbois",
737
- "n03840681": "ocarina, sweet potato",
738
- "n03841143": "odometer, hodometer, mileometer, milometer",
739
- "n03843555": "oil filter",
740
- "n03854065": "organ, pipe organ",
741
- "n03857828": "oscilloscope, scope, cathode-ray oscilloscope, CRO",
742
- "n03866082": "overskirt",
743
- "n03868242": "oxcart",
744
- "n03868863": "oxygen mask",
745
- "n03871628": "packet",
746
- "n03873416": "paddle, boat paddle",
747
- "n03874293": "paddlewheel, paddle wheel",
748
- "n03874599": "padlock",
749
- "n03876231": "paintbrush",
750
- "n03877472": "pajama, pyjama, pj's, jammies",
751
- "n03877845": "palace",
752
- "n03884397": "panpipe, pandean pipe, syrinx",
753
- "n03887697": "paper towel",
754
- "n03888257": "parachute, chute",
755
- "n03888605": "parallel bars, bars",
756
- "n03891251": "park bench",
757
- "n03891332": "parking meter",
758
- "n03895866": "passenger car, coach, carriage",
759
- "n03899768": "patio, terrace",
760
- "n03902125": "pay-phone, pay-station",
761
- "n03903868": "pedestal, plinth, footstall",
762
- "n03908618": "pencil box, pencil case",
763
- "n03908714": "pencil sharpener",
764
- "n03916031": "perfume, essence",
765
- "n03920288": "Petri dish",
766
- "n03924679": "photocopier",
767
- "n03929660": "pick, plectrum, plectron",
768
- "n03929855": "pickelhaube",
769
- "n03930313": "picket fence, paling",
770
- "n03930630": "pickup, pickup truck",
771
- "n03933933": "pier",
772
- "n03935335": "piggy bank, penny bank",
773
- "n03937543": "pill bottle",
774
- "n03938244": "pillow",
775
- "n03942813": "ping-pong ball",
776
- "n03944341": "pinwheel",
777
- "n03947888": "pirate, pirate ship",
778
- "n03950228": "pitcher, ewer",
779
- "n03954731": "plane, carpenter's plane, woodworking plane",
780
- "n03956157": "planetarium",
781
- "n03958227": "plastic bag",
782
- "n03961711": "plate rack",
783
- "n03967562": "plow, plough",
784
- "n03970156": "plunger, plumber's helper",
785
- "n03976467": "Polaroid camera, Polaroid Land camera",
786
- "n03976657": "pole",
787
- "n03977966": "police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria",
788
- "n03980874": "poncho",
789
- "n03982430": "pool table, billiard table, snooker table",
790
- "n03983396": "pop bottle, soda bottle",
791
- "n03991062": "pot, flowerpot",
792
- "n03992509": "potter's wheel",
793
- "n03995372": "power drill",
794
- "n03998194": "prayer rug, prayer mat",
795
- "n04004767": "printer",
796
- "n04005630": "prison, prison house",
797
- "n04008634": "projectile, missile",
798
- "n04009552": "projector",
799
- "n04019541": "puck, hockey puck",
800
- "n04023962": "punching bag, punch bag, punching ball, punchball",
801
- "n04026417": "purse",
802
- "n04033901": "quill, quill pen",
803
- "n04033995": "quilt, comforter, comfort, puff",
804
- "n04037443": "racer, race car, racing car",
805
- "n04039381": "racket, racquet",
806
- "n04040759": "radiator",
807
- "n04041544": "radio, wireless",
808
- "n04044716": "radio telescope, radio reflector",
809
- "n04049303": "rain barrel",
810
- "n04065272": "recreational vehicle, RV, R.V.",
811
- "n04067472": "reel",
812
- "n04069434": "reflex camera",
813
- "n04070727": "refrigerator, icebox",
814
- "n04074963": "remote control, remote",
815
- "n04081281": "restaurant, eating house, eating place, eatery",
816
- "n04086273": "revolver, six-gun, six-shooter",
817
- "n04090263": "rifle",
818
- "n04099969": "rocking chair, rocker",
819
- "n04111531": "rotisserie",
820
- "n04116512": "rubber eraser, rubber, pencil eraser",
821
- "n04118538": "rugby ball",
822
- "n04118776": "rule, ruler",
823
- "n04120489": "running shoe",
824
- "n04125021": "safe",
825
- "n04127249": "safety pin",
826
- "n04131690": "saltshaker, salt shaker",
827
- "n04133789": "sandal",
828
- "n04136333": "sarong",
829
- "n04141076": "sax, saxophone",
830
- "n04141327": "scabbard",
831
- "n04141975": "scale, weighing machine",
832
- "n04146614": "school bus",
833
- "n04147183": "schooner",
834
- "n04149813": "scoreboard",
835
- "n04152593": "screen, CRT screen",
836
- "n04153751": "screw",
837
- "n04154565": "screwdriver",
838
- "n04162706": "seat belt, seatbelt",
839
- "n04179913": "sewing machine",
840
- "n04192698": "shield, buckler",
841
- "n04200800": "shoe shop, shoe-shop, shoe store",
842
- "n04201297": "shoji",
843
- "n04204238": "shopping basket",
844
- "n04204347": "shopping cart",
845
- "n04208210": "shovel",
846
- "n04209133": "shower cap",
847
- "n04209239": "shower curtain",
848
- "n04228054": "ski",
849
- "n04229816": "ski mask",
850
- "n04235860": "sleeping bag",
851
- "n04238763": "slide rule, slipstick",
852
- "n04239074": "sliding door",
853
- "n04243546": "slot, one-armed bandit",
854
- "n04251144": "snorkel",
855
- "n04252077": "snowmobile",
856
- "n04252225": "snowplow, snowplough",
857
- "n04254120": "soap dispenser",
858
- "n04254680": "soccer ball",
859
- "n04254777": "sock",
860
- "n04258138": "solar dish, solar collector, solar furnace",
861
- "n04259630": "sombrero",
862
- "n04263257": "soup bowl",
863
- "n04264628": "space bar",
864
- "n04265275": "space heater",
865
- "n04266014": "space shuttle",
866
- "n04270147": "spatula",
867
- "n04273569": "speedboat",
868
- "n04275548": "spider web, spider's web",
869
- "n04277352": "spindle",
870
- "n04285008": "sports car, sport car",
871
- "n04286575": "spotlight, spot",
872
- "n04296562": "stage",
873
- "n04310018": "steam locomotive",
874
- "n04311004": "steel arch bridge",
875
- "n04311174": "steel drum",
876
- "n04317175": "stethoscope",
877
- "n04325704": "stole",
878
- "n04326547": "stone wall",
879
- "n04328186": "stopwatch, stop watch",
880
- "n04330267": "stove",
881
- "n04332243": "strainer",
882
- "n04335435": "streetcar, tram, tramcar, trolley, trolley car",
883
- "n04336792": "stretcher",
884
- "n04344873": "studio couch, day bed",
885
- "n04346328": "stupa, tope",
886
- "n04347754": "submarine, pigboat, sub, U-boat",
887
- "n04350905": "suit, suit of clothes",
888
- "n04355338": "sundial",
889
- "n04355933": "sunglass",
890
- "n04356056": "sunglasses, dark glasses, shades",
891
- "n04357314": "sunscreen, sunblock, sun blocker",
892
- "n04366367": "suspension bridge",
893
- "n04367480": "swab, swob, mop",
894
- "n04370456": "sweatshirt",
895
- "n04371430": "swimming trunks, bathing trunks",
896
- "n04371774": "swing",
897
- "n04372370": "switch, electric switch, electrical switch",
898
- "n04376876": "syringe",
899
- "n04380533": "table lamp",
900
- "n04389033": "tank, army tank, armored combat vehicle, armoured combat vehicle",
901
- "n04392985": "tape player",
902
- "n04398044": "teapot",
903
- "n04399382": "teddy, teddy bear",
904
- "n04404412": "television, television system",
905
- "n04409515": "tennis ball",
906
- "n04417672": "thatch, thatched roof",
907
- "n04418357": "theater curtain, theatre curtain",
908
- "n04423845": "thimble",
909
- "n04428191": "thresher, thrasher, threshing machine",
910
- "n04429376": "throne",
911
- "n04435653": "tile roof",
912
- "n04442312": "toaster",
913
- "n04443257": "tobacco shop, tobacconist shop, tobacconist",
914
- "n04447861": "toilet seat",
915
- "n04456115": "torch",
916
- "n04458633": "totem pole",
917
- "n04461696": "tow truck, tow car, wrecker",
918
- "n04462240": "toyshop",
919
- "n04465501": "tractor",
920
- "n04467665": "trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi",
921
- "n04476259": "tray",
922
- "n04479046": "trench coat",
923
- "n04482393": "tricycle, trike, velocipede",
924
- "n04483307": "trimaran",
925
- "n04485082": "tripod",
926
- "n04486054": "triumphal arch",
927
- "n04487081": "trolleybus, trolley coach, trackless trolley",
928
- "n04487394": "trombone",
929
- "n04493381": "tub, vat",
930
- "n04501370": "turnstile",
931
- "n04505470": "typewriter keyboard",
932
- "n04507155": "umbrella",
933
- "n04509417": "unicycle, monocycle",
934
- "n04515003": "upright, upright piano",
935
- "n04517823": "vacuum, vacuum cleaner",
936
- "n04522168": "vase",
937
- "n04523525": "vault",
938
- "n04525038": "velvet",
939
- "n04525305": "vending machine",
940
- "n04532106": "vestment",
941
- "n04532670": "viaduct",
942
- "n04536866": "violin, fiddle",
943
- "n04540053": "volleyball",
944
- "n04542943": "waffle iron",
945
- "n04548280": "wall clock",
946
- "n04548362": "wallet, billfold, notecase, pocketbook",
947
- "n04550184": "wardrobe, closet, press",
948
- "n04552348": "warplane, military plane",
949
- "n04553703": "washbasin, handbasin, washbowl, lavabo, wash-hand basin",
950
- "n04554684": "washer, automatic washer, washing machine",
951
- "n04557648": "water bottle",
952
- "n04560804": "water jug",
953
- "n04562935": "water tower",
954
- "n04579145": "whiskey jug",
955
- "n04579432": "whistle",
956
- "n04584207": "wig",
957
- "n04589890": "window screen",
958
- "n04590129": "window shade",
959
- "n04591157": "Windsor tie",
960
- "n04591713": "wine bottle",
961
- "n04592741": "wing",
962
- "n04596742": "wok",
963
- "n04597913": "wooden spoon",
964
- "n04599235": "wool, woolen, woollen",
965
- "n04604644": "worm fence, snake fence, snake-rail fence, Virginia fence",
966
- "n04606251": "wreck",
967
- "n04612504": "yawl",
968
- "n04613696": "yurt",
969
- "n06359193": "web site, website, internet site, site",
970
- "n06596364": "comic book",
971
- "n06785654": "crossword puzzle, crossword",
972
- "n06794110": "street sign",
973
- "n06874185": "traffic light, traffic signal, stoplight",
974
- "n07248320": "book jacket, dust cover, dust jacket, dust wrapper",
975
- "n07565083": "menu",
976
- "n07579787": "plate",
977
- "n07583066": "guacamole",
978
- "n07584110": "consomme",
979
- "n07590611": "hot pot, hotpot",
980
- "n07613480": "trifle",
981
- "n07614500": "ice cream, icecream",
982
- "n07615774": "ice lolly, lolly, lollipop, popsicle",
983
- "n07684084": "French loaf",
984
- "n07693725": "bagel, beigel",
985
- "n07695742": "pretzel",
986
- "n07697313": "cheeseburger",
987
- "n07697537": "hotdog, hot dog, red hot",
988
- "n07711569": "mashed potato",
989
- "n07714571": "head cabbage",
990
- "n07714990": "broccoli",
991
- "n07715103": "cauliflower",
992
- "n07716358": "zucchini, courgette",
993
- "n07716906": "spaghetti squash",
994
- "n07717410": "acorn squash",
995
- "n07717556": "butternut squash",
996
- "n07718472": "cucumber, cuke",
997
- "n07718747": "artichoke, globe artichoke",
998
- "n07720875": "bell pepper",
999
- "n07730033": "cardoon",
1000
- "n07734744": "mushroom",
1001
- "n07742313": "Granny Smith",
1002
- "n07745940": "strawberry",
1003
- "n07747607": "orange",
1004
- "n07749582": "lemon",
1005
- "n07753113": "fig",
1006
- "n07753275": "pineapple, ananas",
1007
- "n07753592": "banana",
1008
- "n07754684": "jackfruit, jak, jack",
1009
- "n07760859": "custard apple",
1010
- "n07768694": "pomegranate",
1011
- "n07802026": "hay",
1012
- "n07831146": "carbonara",
1013
- "n07836838": "chocolate sauce, chocolate syrup",
1014
- "n07860988": "dough",
1015
- "n07871810": "meat loaf, meatloaf",
1016
- "n07873807": "pizza, pizza pie",
1017
- "n07875152": "potpie",
1018
- "n07880968": "burrito",
1019
- "n07892512": "red wine",
1020
- "n07920052": "espresso",
1021
- "n07930864": "cup",
1022
- "n07932039": "eggnog",
1023
- "n09193705": "alp",
1024
- "n09229709": "bubble",
1025
- "n09246464": "cliff, drop, drop-off",
1026
- "n09256479": "coral reef",
1027
- "n09288635": "geyser",
1028
- "n09332890": "lakeside, lakeshore",
1029
- "n09399592": "promontory, headland, head, foreland",
1030
- "n09421951": "sandbar, sand bar",
1031
- "n09428293": "seashore, coast, seacoast, sea-coast",
1032
- "n09468604": "valley, vale",
1033
- "n09472597": "volcano",
1034
- "n09835506": "ballplayer, baseball player",
1035
- "n10148035": "groom, bridegroom",
1036
- "n10565667": "scuba diver",
1037
- "n11879895": "rapeseed",
1038
- "n11939491": "daisy",
1039
- "n12057211": "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum",
1040
- "n12144580": "corn",
1041
- "n12267677": "acorn",
1042
- "n12620546": "hip, rose hip, rosehip",
1043
- "n12768682": "buckeye, horse chestnut, conker",
1044
- "n12985857": "coral fungus",
1045
- "n12998815": "agaric",
1046
- "n13037406": "gyromitra",
1047
- "n13040303": "stinkhorn, carrion fungus",
1048
- "n13044778": "earthstar",
1049
- "n13052670": "hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa",
1050
- "n13054560": "bolete",
1051
- "n13133613": "ear, spike, capitulum",
1052
- "n15075141": "toilet tissue, toilet paper, bathroom tissue",
1053
- }
1054
- )
1055
- ##### end classes.py #####
1056
-
1057
- class ImageNetSketch(datasets.GeneratorBasedBuilder):
1058
-
1059
- def _info(self):
1060
- return datasets.DatasetInfo(
1061
- description=_DESCRIPTION,
1062
- features=datasets.Features(
1063
- {
1064
- "image": datasets.Image(),
1065
- "labels": datasets.features.ClassLabel(names=list(IMAGENET2012_CLASSES.values())),
1066
- }
1067
- ),
1068
- supervised_keys=("image", "labels"),
1069
- homepage=_HOMEPAGE,
1070
- citation=_CITATION,
1071
- task_templates=[ImageClassification(image_column="image", label_column="labels")],
1072
- )
1073
-
1074
- def _split_generators(self, dl_manager):
1075
- data_files = dl_manager.download_and_extract(_URL)
1076
-
1077
- return [
1078
- datasets.SplitGenerator(
1079
- name=datasets.Split.TRAIN,
1080
- gen_kwargs={
1081
- "files": dl_manager.iter_files([data_files]),
1082
- }
1083
- ),
1084
- ]
1085
-
1086
- def _generate_examples(self, files):
1087
- for i, path in enumerate(files):
1088
- file_name = os.path.basename(path)
1089
- if file_name.endswith(".JPEG"):
1090
- yield i, {
1091
- "image": path,
1092
- "labels": IMAGENET2012_CLASSES[os.path.basename(os.path.dirname(path)).lower()],
1093
- }