Datasets:

taesiri
/

imagenet-hard

	---
	dataset_info:
	features:
	- name: image
	dtype: image
	- name: label
	sequence: int64
	- name: origin
	dtype: string
	- name: english_label
	sequence: string
	splits:
	- name: validation
	num_bytes: 1771418938.94
	num_examples: 10980
	download_size: 6380094503
	dataset_size: 1771418938.94
	license: mit
	task_categories:
	- image-classification
	language:
	- en
	tags:
	- OOD
	- ImageNet
	- Out Of Distribution
	pretty_name: ImageNet-Hard
	size_categories:
	- 10K<n<100K
	---
	# Dataset Card for "ImageNet-Hard"


	[Project Page](https://taesiri.github.io/ZoomIsAllYouNeed/) - [ArXiv](https://arxiv.org/abs/2304.05538) - [Paper](https://huggingface.co/papers/2304.05538) - [Github](https://github.com/taesiri/ZoomIsAllYouNeed) - [Image Browser](https://huggingface.co/spaces/taesiri/ImageNet-Hard-Browser)

	## Dataset Summary


	ImageNet-Hard is a new benchmark that comprises 10,980 images collected from various existing ImageNet-scale benchmarks (ImageNet, ImageNet-V2, ImageNet-Sketch, ImageNet-C, ImageNet-R, ImageNet-ReaL, ImageNet-A, and ObjectNet). This dataset poses a significant challenge to state-of-the-art vision models as merely zooming in often fails to improve their ability to classify images correctly. As a result, even the most advanced models, such as `CLIP-ViT-L/14@336px`, struggle to perform well on this dataset, achieving a mere `2.02%` accuracy.


	ImageNet-Hard-4K: For the 4K version please refere to [this dataset](https://huggingface.co/datasets/taesiri/imagenet-hard-4K).

	### Dataset Distribution

	![Dataset Distribution](https://taesiri.github.io/ZoomIsAllYouNeed/static/svg/imagenet_hard_distribution.svg)


	### Classifiers Performance


	\| Model \| Accuracy \|
	\| ------------------- \| -------- \|
	\| AlexNet \| 7.34 \|
	\| VGG-16 \| 12.00 \|
	\| ResNet-18 \| 10.86 \|
	\| ResNet-50 \| 14.74 \|
	\| ViT-B/32 \| 18.52 \|
	\| EfficientNet-B0 \| 16.57 \|
	\| EfficientNet-B7 \| 23.20 \|
	\| EfficientNet-L2-Ns \| 39.00 \|
	\| CLIP-ViT-L/14@224px \| 1.86 \|
	\| CLIP-ViT-L/14@336px \| 2.02 \|
	\| OpenCLIP-ViT-bigG-14\| 15.93 \|
	\| OpenCLIP-ViT-L-14 \| 15.60 \|



	Evaluation Code

	* CLIP <a target="_blank" href="https://colab.research.google.com/github/taesiri/ZoomIsAllYouNeed/blob/main/src/ImageNet_Hard/Prompt_Engineering_for_ImageNet_Hard.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/> </a>
	* [OpenCLIP](https://github.com/taesiri/ZoomIsAllYouNeed/blob/main/src/ImageNet_Hard/benchmark_openclip.py)
	* Other models <a target="_blank" href="https://colab.research.google.com/github/taesiri/ZoomIsAllYouNeed/blob/main/src/ImageNet_Hard/Benchmark_ImageNet_Hard.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/> </a>

	## Supported Tasks

	- `image-classification`: The objective of this task is to classify an image into one or more classes, selected from 1000 ImageNet categories (allowing for multiple ground-truth labels per image).

	## Languages
	The `english_label` field in the dataset are in English.

	## Dataset Structure

	Data Instances

	An example looks like this:

	```python
	{
	'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=575x409 at 0x7F09456B53A0>,
	'label': [0],
	'origin': 'imagenet_sketch',
	'english_label': ['tench']
	}
	```

	### Data Fields
	The data instances have the following fields:

	- image: A PIL.Image.Image object containing the image. Note that when accessing the image column: dataset[0]["image"] the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"] should always be preferred over dataset["image"][0].
	- label: A List[int] collection containing the ground-truth ids.
	- origin: A string containing source dataset.
	- english_label: A List[str] collection containg the english labels for the ground-truth classes.


	<details>
	<summary>
	Click here to see the full list of ImageNet class labels mapping:
	</summary>

	\|id\|Class\|
	\|--\|-----\|
	\|0 \| tench, Tinca tinca\|
	\|1 \| goldfish, Carassius auratus\|
	\|2 \| great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias\|
	\|3 \| tiger shark, Galeocerdo cuvieri\|
	\|4 \| hammerhead, hammerhead shark\|
	\|5 \| electric ray, crampfish, numbfish, torpedo\|
	\|6 \| stingray\|
	\|7 \| cock\|
	\|8 \| hen\|
	\|9 \| ostrich, Struthio camelus\|
	\|10 \| brambling, Fringilla montifringilla\|
	\|11 \| goldfinch, Carduelis carduelis\|
	\|12 \| house finch, linnet, Carpodacus mexicanus\|
	\|13 \| junco, snowbird\|
	\|14 \| indigo bunting, indigo finch, indigo bird, Passerina cyanea\|
	\|15 \| robin, American robin, Turdus migratorius\|
	\|16 \| bulbul\|
	\|17 \| jay\|
	\|18 \| magpie\|
	\|19 \| chickadee\|
	\|20 \| water ouzel, dipper\|
	\|21 \| kite\|
	\|22 \| bald eagle, American eagle, Haliaeetus leucocephalus\|
	\|23 \| vulture\|
	\|24 \| great grey owl, great gray owl, Strix nebulosa\|
	\|25 \| European fire salamander, Salamandra salamandra\|
	\|26 \| common newt, Triturus vulgaris\|
	\|27 \| eft\|
	\|28 \| spotted salamander, Ambystoma maculatum\|
	\|29 \| axolotl, mud puppy, Ambystoma mexicanum\|
	\|30 \| bullfrog, Rana catesbeiana\|
	\|31 \| tree frog, tree-frog\|
	\|32 \| tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui\|
	\|33 \| loggerhead, loggerhead turtle, Caretta caretta\|
	\|34 \| leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea\|
	\|35 \| mud turtle\|
	\|36 \| terrapin\|
	\|37 \| box turtle, box tortoise\|
	\|38 \| banded gecko\|
	\|39 \| common iguana, iguana, Iguana iguana\|
	\|40 \| American chameleon, anole, Anolis carolinensis\|
	\|41 \| whiptail, whiptail lizard\|
	\|42 \| agama\|
	\|43 \| frilled lizard, Chlamydosaurus kingi\|
	\|44 \| alligator lizard\|
	\|45 \| Gila monster, Heloderma suspectum\|
	\|46 \| green lizard, Lacerta viridis\|
	\|47 \| African chameleon, Chamaeleo chamaeleon\|
	\|48 \| Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis\|
	\|49 \| African crocodile, Nile crocodile, Crocodylus niloticus\|
	\|50 \| American alligator, Alligator mississipiensis\|
	\|51 \| triceratops\|
	\|52 \| thunder snake, worm snake, Carphophis amoenus\|
	\|53 \| ringneck snake, ring-necked snake, ring snake\|
	\|54 \| hognose snake, puff adder, sand viper\|
	\|55 \| green snake, grass snake\|
	\|56 \| king snake, kingsnake\|
	\|57 \| garter snake, grass snake\|
	\|58 \| water snake\|
	\|59 \| vine snake\|
	\|60 \| night snake, Hypsiglena torquata\|
	\|61 \| boa constrictor, Constrictor constrictor\|
	\|62 \| rock python, rock snake, Python sebae\|
	\|63 \| Indian cobra, Naja naja\|
	\|64 \| green mamba\|
	\|65 \| sea snake\|
	\|66 \| horned viper, cerastes, sand viper, horned asp, Cerastes cornutus\|
	\|67 \| diamondback, diamondback rattlesnake, Crotalus adamanteus\|
	\|68 \| sidewinder, horned rattlesnake, Crotalus cerastes\|
	\|69 \| trilobite\|
	\|70 \| harvestman, daddy longlegs, Phalangium opilio\|
	\|71 \| scorpion\|
	\|72 \| black and gold garden spider, Argiope aurantia\|
	\|73 \| barn spider, Araneus cavaticus\|
	\|74 \| garden spider, Aranea diademata\|
	\|75 \| black widow, Latrodectus mactans\|
	\|76 \| tarantula\|
	\|77 \| wolf spider, hunting spider\|
	\|78 \| tick\|
	\|79 \| centipede\|
	\|80 \| black grouse\|
	\|81 \| ptarmigan\|
	\|82 \| ruffed grouse, partridge, Bonasa umbellus\|
	\|83 \| prairie chicken, prairie grouse, prairie fowl\|
	\|84 \| peacock\|
	\|85 \| quail\|
	\|86 \| partridge\|
	\|87 \| African grey, African gray, Psittacus erithacus\|
	\|88 \| macaw\|
	\|89 \| sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita\|
	\|90 \| lorikeet\|
	\|91 \| coucal\|
	\|92 \| bee eater\|
	\|93 \| hornbill\|
	\|94 \| hummingbird\|
	\|95 \| jacamar\|
	\|96 \| toucan\|
	\|97 \| drake\|
	\|98 \| red-breasted merganser, Mergus serrator\|
	\|99 \| goose\|
	\|100 \| black swan, Cygnus atratus\|
	\|101 \| tusker\|
	\|102 \| echidna, spiny anteater, anteater\|
	\|103 \| platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus\|
	\|104 \| wallaby, brush kangaroo\|
	\|105 \| koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus\|
	\|106 \| wombat\|
	\|107 \| jellyfish\|
	\|108 \| sea anemone, anemone\|
	\|109 \| brain coral\|
	\|110 \| flatworm, platyhelminth\|
	\|111 \| nematode, nematode worm, roundworm\|
	\|112 \| conch\|
	\|113 \| snail\|
	\|114 \| slug\|
	\|115 \| sea slug, nudibranch\|
	\|116 \| chiton, coat-of-mail shell, sea cradle, polyplacophore\|
	\|117 \| chambered nautilus, pearly nautilus, nautilus\|
	\|118 \| Dungeness crab, Cancer magister\|
	\|119 \| rock crab, Cancer irroratus\|
	\|120 \| fiddler crab\|
	\|121 \| king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica\|
	\|122 \| American lobster, Northern lobster, Maine lobster, Homarus americanus\|
	\|123 \| spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish\|
	\|124 \| crayfish, crawfish, crawdad, crawdaddy\|
	\|125 \| hermit crab\|
	\|126 \| isopod\|
	\|127 \| white stork, Ciconia ciconia\|
	\|128 \| black stork, Ciconia nigra\|
	\|129 \| spoonbill\|
	\|130 \| flamingo\|
	\|131 \| little blue heron, Egretta caerulea\|
	\|132 \| American egret, great white heron, Egretta albus\|
	\|133 \| bittern\|
	\|134 \| crane\|
	\|135 \| limpkin, Aramus pictus\|
	\|136 \| European gallinule, Porphyrio porphyrio\|
	\|137 \| American coot, marsh hen, mud hen, water hen, Fulica americana\|
	\|138 \| bustard\|
	\|139 \| ruddy turnstone, Arenaria interpres\|
	\|140 \| red-backed sandpiper, dunlin, Erolia alpina\|
	\|141 \| redshank, Tringa totanus\|
	\|142 \| dowitcher\|
	\|143 \| oystercatcher, oyster catcher\|
	\|144 \| pelican\|
	\|145 \| king penguin, Aptenodytes patagonica\|
	\|146 \| albatross, mollymawk\|
	\|147 \| grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus\|
	\|148 \| killer whale, killer, orca, grampus, sea wolf, Orcinus orca\|
	\|149 \| dugong, Dugong dugon\|
	\|150 \| sea lion\|
	\|151 \| Chihuahua\|
	\|152 \| Japanese spaniel\|
	\|153 \| Maltese dog, Maltese terrier, Maltese\|
	\|154 \| Pekinese, Pekingese, Peke\|
	\|155 \| Shih-Tzu\|
	\|156 \| Blenheim spaniel\|
	\|157 \| papillon\|
	\|158 \| toy terrier\|
	\|159 \| Rhodesian ridgeback\|
	\|160 \| Afghan hound, Afghan\|
	\|161 \| basset, basset hound\|
	\|162 \| beagle\|
	\|163 \| bloodhound, sleuthhound\|
	\|164 \| bluetick\|
	\|165 \| black-and-tan coonhound\|
	\|166 \| Walker hound, Walker foxhound\|
	\|167 \| English foxhound\|
	\|168 \| redbone\|
	\|169 \| borzoi, Russian wolfhound\|
	\|170 \| Irish wolfhound\|
	\|171 \| Italian greyhound\|
	\|172 \| whippet\|
	\|173 \| Ibizan hound, Ibizan Podenco\|
	\|174 \| Norwegian elkhound, elkhound\|
	\|175 \| otterhound, otter hound\|
	\|176 \| Saluki, gazelle hound\|
	\|177 \| Scottish deerhound, deerhound\|
	\|178 \| Weimaraner\|
	\|179 \| Staffordshire bullterrier, Staffordshire bull terrier\|
	\|180 \| American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier\|
	\|181 \| Bedlington terrier\|
	\|182 \| Border terrier\|
	\|183 \| Kerry blue terrier\|
	\|184 \| Irish terrier\|
	\|185 \| Norfolk terrier\|
	\|186 \| Norwich terrier\|
	\|187 \| Yorkshire terrier\|
	\|188 \| wire-haired fox terrier\|
	\|189 \| Lakeland terrier\|
	\|190 \| Sealyham terrier, Sealyham\|
	\|191 \| Airedale, Airedale terrier\|
	\|192 \| cairn, cairn terrier\|
	\|193 \| Australian terrier\|
	\|194 \| Dandie Dinmont, Dandie Dinmont terrier\|
	\|195 \| Boston bull, Boston terrier\|
	\|196 \| miniature schnauzer\|
	\|197 \| giant schnauzer\|
	\|198 \| standard schnauzer\|
	\|199 \| Scotch terrier, Scottish terrier, Scottie\|
	\|200 \| Tibetan terrier, chrysanthemum dog\|
	\|201 \| silky terrier, Sydney silky\|
	\|202 \| soft-coated wheaten terrier\|
	\|203 \| West Highland white terrier\|
	\|204 \| Lhasa, Lhasa apso\|
	\|205 \| flat-coated retriever\|
	\|206 \| curly-coated retriever\|
	\|207 \| golden retriever\|
	\|208 \| Labrador retriever\|
	\|209 \| Chesapeake Bay retriever\|
	\|210 \| German short-haired pointer\|
	\|211 \| vizsla, Hungarian pointer\|
	\|212 \| English setter\|
	\|213 \| Irish setter, red setter\|
	\|214 \| Gordon setter\|
	\|215 \| Brittany spaniel\|
	\|216 \| clumber, clumber spaniel\|
	\|217 \| English springer, English springer spaniel\|
	\|218 \| Welsh springer spaniel\|
	\|219 \| cocker spaniel, English cocker spaniel, cocker\|
	\|220 \| Sussex spaniel\|
	\|221 \| Irish water spaniel\|
	\|222 \| kuvasz\|
	\|223 \| schipperke\|
	\|224 \| groenendael\|
	\|225 \| malinois\|
	\|226 \| briard\|
	\|227 \| kelpie\|
	\|228 \| komondor\|
	\|229 \| Old English sheepdog, bobtail\|
	\|230 \| Shetland sheepdog, Shetland sheep dog, Shetland\|
	\|231 \| collie\|
	\|232 \| Border collie\|
	\|233 \| Bouvier des Flandres, Bouviers des Flandres\|
	\|234 \| Rottweiler\|
	\|235 \| German shepherd, German shepherd dog, German police dog, alsatian\|
	\|236 \| Doberman, Doberman pinscher\|
	\|237 \| miniature pinscher\|
	\|238 \| Greater Swiss Mountain dog\|
	\|239 \| Bernese mountain dog\|
	\|240 \| Appenzeller\|
	\|241 \| EntleBucher\|
	\|242 \| boxer\|
	\|243 \| bull mastiff\|
	\|244 \| Tibetan mastiff\|
	\|245 \| French bulldog\|
	\|246 \| Great Dane\|
	\|247 \| Saint Bernard, St Bernard\|
	\|248 \| Eskimo dog, husky\|
	\|249 \| malamute, malemute, Alaskan malamute\|
	\|250 \| Siberian husky\|
	\|251 \| dalmatian, coach dog, carriage dog\|
	\|252 \| affenpinscher, monkey pinscher, monkey dog\|
	\|253 \| basenji\|
	\|254 \| pug, pug-dog\|
	\|255 \| Leonberg\|
	\|256 \| Newfoundland, Newfoundland dog\|
	\|257 \| Great Pyrenees\|
	\|258 \| Samoyed, Samoyede\|
	\|259 \| Pomeranian\|
	\|260 \| chow, chow chow\|
	\|261 \| keeshond\|
	\|262 \| Brabancon griffon\|
	\|263 \| Pembroke, Pembroke Welsh corgi\|
	\|264 \| Cardigan, Cardigan Welsh corgi\|
	\|265 \| toy poodle\|
	\|266 \| miniature poodle\|
	\|267 \| standard poodle\|
	\|268 \| Mexican hairless\|
	\|269 \| timber wolf, grey wolf, gray wolf, Canis lupus\|
	\|270 \| white wolf, Arctic wolf, Canis lupus tundrarum\|
	\|271 \| red wolf, maned wolf, Canis rufus, Canis niger\|
	\|272 \| coyote, prairie wolf, brush wolf, Canis latrans\|
	\|273 \| dingo, warrigal, warragal, Canis dingo\|
	\|274 \| dhole, Cuon alpinus\|
	\|275 \| African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus\|
	\|276 \| hyena, hyaena\|
	\|277 \| red fox, Vulpes vulpes\|
	\|278 \| kit fox, Vulpes macrotis\|
	\|279 \| Arctic fox, white fox, Alopex lagopus\|
	\|280 \| grey fox, gray fox, Urocyon cinereoargenteus\|
	\|281 \| tabby, tabby cat\|
	\|282 \| tiger cat\|
	\|283 \| Persian cat\|
	\|284 \| Siamese cat, Siamese\|
	\|285 \| Egyptian cat\|
	\|286 \| cougar, puma, catamount, mountain lion, painter, panther, Felis concolor\|
	\|287 \| lynx, catamount\|
	\|288 \| leopard, Panthera pardus\|
	\|289 \| snow leopard, ounce, Panthera uncia\|
	\|290 \| jaguar, panther, Panthera onca, Felis onca\|
	\|291 \| lion, king of beasts, Panthera leo\|
	\|292 \| tiger, Panthera tigris\|
	\|293 \| cheetah, chetah, Acinonyx jubatus\|
	\|294 \| brown bear, bruin, Ursus arctos\|
	\|295 \| American black bear, black bear, Ursus americanus, Euarctos americanus\|
	\|296 \| ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus\|
	\|297 \| sloth bear, Melursus ursinus, Ursus ursinus\|
	\|298 \| mongoose\|
	\|299 \| meerkat, mierkat\|
	\|300 \| tiger beetle\|
	\|301 \| ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle\|
	\|302 \| ground beetle, carabid beetle\|
	\|303 \| long-horned beetle, longicorn, longicorn beetle\|
	\|304 \| leaf beetle, chrysomelid\|
	\|305 \| dung beetle\|
	\|306 \| rhinoceros beetle\|
	\|307 \| weevil\|
	\|308 \| fly\|
	\|309 \| bee\|
	\|310 \| ant, emmet, pismire\|
	\|311 \| grasshopper, hopper\|
	\|312 \| cricket\|
	\|313 \| walking stick, walkingstick, stick insect\|
	\|314 \| cockroach, roach\|
	\|315 \| mantis, mantid\|
	\|316 \| cicada, cicala\|
	\|317 \| leafhopper\|
	\|318 \| lacewing, lacewing fly\|
	\|319 \| dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk\|
	\|320 \| damselfly\|
	\|321 \| admiral\|
	\|322 \| ringlet, ringlet butterfly\|
	\|323 \| monarch, monarch butterfly, milkweed butterfly, Danaus plexippus\|
	\|324 \| cabbage butterfly\|
	\|325 \| sulphur butterfly, sulfur butterfly\|
	\|326 \| lycaenid, lycaenid butterfly\|
	\|327 \| starfish, sea star\|
	\|328 \| sea urchin\|
	\|329 \| sea cucumber, holothurian\|
	\|330 \| wood rabbit, cottontail, cottontail rabbit\|
	\|331 \| hare\|
	\|332 \| Angora, Angora rabbit\|
	\|333 \| hamster\|
	\|334 \| porcupine, hedgehog\|
	\|335 \| fox squirrel, eastern fox squirrel, Sciurus niger\|
	\|336 \| marmot\|
	\|337 \| beaver\|
	\|338 \| guinea pig, Cavia cobaya\|
	\|339 \| sorrel\|
	\|340 \| zebra\|
	\|341 \| hog, pig, grunter, squealer, Sus scrofa\|
	\|342 \| wild boar, boar, Sus scrofa\|
	\|343 \| warthog\|
	\|344 \| hippopotamus, hippo, river horse, Hippopotamus amphibius\|
	\|345 \| ox\|
	\|346 \| water buffalo, water ox, Asiatic buffalo, Bubalus bubalis\|
	\|347 \| bison\|
	\|348 \| ram, tup\|
	\|349 \| bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis\|
	\|350 \| ibex, Capra ibex\|
	\|351 \| hartebeest\|
	\|352 \| impala, Aepyceros melampus\|
	\|353 \| gazelle\|
	\|354 \| Arabian camel, dromedary, Camelus dromedarius\|
	\|355 \| llama\|
	\|356 \| weasel\|
	\|357 \| mink\|
	\|358 \| polecat, fitch, foulmart, foumart, Mustela putorius\|
	\|359 \| black-footed ferret, ferret, Mustela nigripes\|
	\|360 \| otter\|
	\|361 \| skunk, polecat, wood pussy\|
	\|362 \| badger\|
	\|363 \| armadillo\|
	\|364 \| three-toed sloth, ai, Bradypus tridactylus\|
	\|365 \| orangutan, orang, orangutang, Pongo pygmaeus\|
	\|366 \| gorilla, Gorilla gorilla\|
	\|367 \| chimpanzee, chimp, Pan troglodytes\|
	\|368 \| gibbon, Hylobates lar\|
	\|369 \| siamang, Hylobates syndactylus, Symphalangus syndactylus\|
	\|370 \| guenon, guenon monkey\|
	\|371 \| patas, hussar monkey, Erythrocebus patas\|
	\|372 \| baboon\|
	\|373 \| macaque\|
	\|374 \| langur\|
	\|375 \| colobus, colobus monkey\|
	\|376 \| proboscis monkey, Nasalis larvatus\|
	\|377 \| marmoset\|
	\|378 \| capuchin, ringtail, Cebus capucinus\|
	\|379 \| howler monkey, howler\|
	\|380 \| titi, titi monkey\|
	\|381 \| spider monkey, Ateles geoffroyi\|
	\|382 \| squirrel monkey, Saimiri sciureus\|
	\|383 \| Madagascar cat, ring-tailed lemur, Lemur catta\|
	\|384 \| indri, indris, Indri indri, Indri brevicaudatus\|
	\|385 \| Indian elephant, Elephas maximus\|
	\|386 \| African elephant, Loxodonta africana\|
	\|387 \| lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens\|
	\|388 \| giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca\|
	\|389 \| barracouta, snoek\|
	\|390 \| eel\|
	\|391 \| coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch\|
	\|392 \| rock beauty, Holocanthus tricolor\|
	\|393 \| anemone fish\|
	\|394 \| sturgeon\|
	\|395 \| gar, garfish, garpike, billfish, Lepisosteus osseus\|
	\|396 \| lionfish\|
	\|397 \| puffer, pufferfish, blowfish, globefish\|
	\|398 \| abacus\|
	\|399 \| abaya\|
	\|400 \| academic gown, academic robe, judge's robe\|
	\|401 \| accordion, piano accordion, squeeze box\|
	\|402 \| acoustic guitar\|
	\|403 \| aircraft carrier, carrier, flattop, attack aircraft carrier\|
	\|404 \| airliner\|
	\|405 \| airship, dirigible\|
	\|406 \| altar\|
	\|407 \| ambulance\|
	\|408 \| amphibian, amphibious vehicle\|
	\|409 \| analog clock\|
	\|410 \| apiary, bee house\|
	\|411 \| apron\|
	\|412 \| ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin\|
	\|413 \| assault rifle, assault gun\|
	\|414 \| backpack, back pack, knapsack, packsack, rucksack, haversack\|
	\|415 \| bakery, bakeshop, bakehouse\|
	\|416 \| balance beam, beam\|
	\|417 \| balloon\|
	\|418 \| ballpoint, ballpoint pen, ballpen, Biro\|
	\|419 \| Band Aid\|
	\|420 \| banjo\|
	\|421 \| bannister, banister, balustrade, balusters, handrail\|
	\|422 \| barbell\|
	\|423 \| barber chair\|
	\|424 \| barbershop\|
	\|425 \| barn\|
	\|426 \| barometer\|
	\|427 \| barrel, cask\|
	\|428 \| barrow, garden cart, lawn cart, wheelbarrow\|
	\|429 \| baseball\|
	\|430 \| basketball\|
	\|431 \| bassinet\|
	\|432 \| bassoon\|
	\|433 \| bathing cap, swimming cap\|
	\|434 \| bath towel\|
	\|435 \| bathtub, bathing tub, bath, tub\|
	\|436 \| beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon\|
	\|437 \| beacon, lighthouse, beacon light, pharos\|
	\|438 \| beaker\|
	\|439 \| bearskin, busby, shako\|
	\|440 \| beer bottle\|
	\|441 \| beer glass\|
	\|442 \| bell cote, bell cot\|
	\|443 \| bib\|
	\|444 \| bicycle-built-for-two, tandem bicycle, tandem\|
	\|445 \| bikini, two-piece\|
	\|446 \| binder, ring-binder\|
	\|447 \| binoculars, field glasses, opera glasses\|
	\|448 \| birdhouse\|
	\|449 \| boathouse\|
	\|450 \| bobsled, bobsleigh, bob\|
	\|451 \| bolo tie, bolo, bola tie, bola\|
	\|452 \| bonnet, poke bonnet\|
	\|453 \| bookcase\|
	\|454 \| bookshop, bookstore, bookstall\|
	\|455 \| bottlecap\|
	\|456 \| bow\|
	\|457 \| bow tie, bow-tie, bowtie\|
	\|458 \| brass, memorial tablet, plaque\|
	\|459 \| brassiere, bra, bandeau\|
	\|460 \| breakwater, groin, groyne, mole, bulwark, seawall, jetty\|
	\|461 \| breastplate, aegis, egis\|
	\|462 \| broom\|
	\|463 \| bucket, pail\|
	\|464 \| buckle\|
	\|465 \| bulletproof vest\|
	\|466 \| bullet train, bullet\|
	\|467 \| butcher shop, meat market\|
	\|468 \| cab, hack, taxi, taxicab\|
	\|469 \| caldron, cauldron\|
	\|470 \| candle, taper, wax light\|
	\|471 \| cannon\|
	\|472 \| canoe\|
	\|473 \| can opener, tin opener\|
	\|474 \| cardigan\|
	\|475 \| car mirror\|
	\|476 \| carousel, carrousel, merry-go-round, roundabout, whirligig\|
	\|477 \| carpenter's kit, tool kit\|
	\|478 \| carton\|
	\|479 \| car wheel\|
	\|480 \| cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM\|
	\|481 \| cassette\|
	\|482 \| cassette player\|
	\|483 \| castle\|
	\|484 \| catamaran\|
	\|485 \| CD player\|
	\|486 \| cello, violoncello\|
	\|487 \| cellular telephone, cellular phone, cellphone, cell, mobile phone\|
	\|488 \| chain\|
	\|489 \| chainlink fence\|
	\|490 \| chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour\|
	\|491 \| chain saw, chainsaw\|
	\|492 \| chest\|
	\|493 \| chiffonier, commode\|
	\|494 \| chime, bell, gong\|
	\|495 \| china cabinet, china closet\|
	\|496 \| Christmas stocking\|
	\|497 \| church, church building\|
	\|498 \| cinema, movie theater, movie theatre, movie house, picture palace\|
	\|499 \| cleaver, meat cleaver, chopper\|
	\|500 \| cliff dwelling\|
	\|501 \| cloak\|
	\|502 \| clog, geta, patten, sabot\|
	\|503 \| cocktail shaker\|
	\|504 \| coffee mug\|
	\|505 \| coffeepot\|
	\|506 \| coil, spiral, volute, whorl, helix\|
	\|507 \| combination lock\|
	\|508 \| computer keyboard, keypad\|
	\|509 \| confectionery, confectionary, candy store\|
	\|510 \| container ship, containership, container vessel\|
	\|511 \| convertible\|
	\|512 \| corkscrew, bottle screw\|
	\|513 \| cornet, horn, trumpet, trump\|
	\|514 \| cowboy boot\|
	\|515 \| cowboy hat, ten-gallon hat\|
	\|516 \| cradle\|
	\|517 \| crane_1\|
	\|518 \| crash helmet\|
	\|519 \| crate\|
	\|520 \| crib, cot\|
	\|521 \| Crock Pot\|
	\|522 \| croquet ball\|
	\|523 \| crutch\|
	\|524 \| cuirass\|
	\|525 \| dam, dike, dyke\|
	\|526 \| desk\|
	\|527 \| desktop computer\|
	\|528 \| dial telephone, dial phone\|
	\|529 \| diaper, nappy, napkin\|
	\|530 \| digital clock\|
	\|531 \| digital watch\|
	\|532 \| dining table, board\|
	\|533 \| dishrag, dishcloth\|
	\|534 \| dishwasher, dish washer, dishwashing machine\|
	\|535 \| disk brake, disc brake\|
	\|536 \| dock, dockage, docking facility\|
	\|537 \| dogsled, dog sled, dog sleigh\|
	\|538 \| dome\|
	\|539 \| doormat, welcome mat\|
	\|540 \| drilling platform, offshore rig\|
	\|541 \| drum, membranophone, tympan\|
	\|542 \| drumstick\|
	\|543 \| dumbbell\|
	\|544 \| Dutch oven\|
	\|545 \| electric fan, blower\|
	\|546 \| electric guitar\|
	\|547 \| electric locomotive\|
	\|548 \| entertainment center\|
	\|549 \| envelope\|
	\|550 \| espresso maker\|
	\|551 \| face powder\|
	\|552 \| feather boa, boa\|
	\|553 \| file, file cabinet, filing cabinet\|
	\|554 \| fireboat\|
	\|555 \| fire engine, fire truck\|
	\|556 \| fire screen, fireguard\|
	\|557 \| flagpole, flagstaff\|
	\|558 \| flute, transverse flute\|
	\|559 \| folding chair\|
	\|560 \| football helmet\|
	\|561 \| forklift\|
	\|562 \| fountain\|
	\|563 \| fountain pen\|
	\|564 \| four-poster\|
	\|565 \| freight car\|
	\|566 \| French horn, horn\|
	\|567 \| frying pan, frypan, skillet\|
	\|568 \| fur coat\|
	\|569 \| garbage truck, dustcart\|
	\|570 \| gasmask, respirator, gas helmet\|
	\|571 \| gas pump, gasoline pump, petrol pump, island dispenser\|
	\|572 \| goblet\|
	\|573 \| go-kart\|
	\|574 \| golf ball\|
	\|575 \| golfcart, golf cart\|
	\|576 \| gondola\|
	\|577 \| gong, tam-tam\|
	\|578 \| gown\|
	\|579 \| grand piano, grand\|
	\|580 \| greenhouse, nursery, glasshouse\|
	\|581 \| grille, radiator grille\|
	\|582 \| grocery store, grocery, food market, market\|
	\|583 \| guillotine\|
	\|584 \| hair slide\|
	\|585 \| hair spray\|
	\|586 \| half track\|
	\|587 \| hammer\|
	\|588 \| hamper\|
	\|589 \| hand blower, blow dryer, blow drier, hair dryer, hair drier\|
	\|590 \| hand-held computer, hand-held microcomputer\|
	\|591 \| handkerchief, hankie, hanky, hankey\|
	\|592 \| hard disc, hard disk, fixed disk\|
	\|593 \| harmonica, mouth organ, harp, mouth harp\|
	\|594 \| harp\|
	\|595 \| harvester, reaper\|
	\|596 \| hatchet\|
	\|597 \| holster\|
	\|598 \| home theater, home theatre\|
	\|599 \| honeycomb\|
	\|600 \| hook, claw\|
	\|601 \| hoopskirt, crinoline\|
	\|602 \| horizontal bar, high bar\|
	\|603 \| horse cart, horse-cart\|
	\|604 \| hourglass\|
	\|605 \| iPod\|
	\|606 \| iron, smoothing iron\|
	\|607 \| jack-o'-lantern\|
	\|608 \| jean, blue jean, denim\|
	\|609 \| jeep, landrover\|
	\|610 \| jersey, T-shirt, tee shirt\|
	\|611 \| jigsaw puzzle\|
	\|612 \| jinrikisha, ricksha, rickshaw\|
	\|613 \| joystick\|
	\|614 \| kimono\|
	\|615 \| knee pad\|
	\|616 \| knot\|
	\|617 \| lab coat, laboratory coat\|
	\|618 \| ladle\|
	\|619 \| lampshade, lamp shade\|
	\|620 \| laptop, laptop computer\|
	\|621 \| lawn mower, mower\|
	\|622 \| lens cap, lens cover\|
	\|623 \| letter opener, paper knife, paperknife\|
	\|624 \| library\|
	\|625 \| lifeboat\|
	\|626 \| lighter, light, igniter, ignitor\|
	\|627 \| limousine, limo\|
	\|628 \| liner, ocean liner\|
	\|629 \| lipstick, lip rouge\|
	\|630 \| Loafer\|
	\|631 \| lotion\|
	\|632 \| loudspeaker, speaker, speaker unit, loudspeaker system, speaker system\|
	\|633 \| loupe, jeweler's loupe\|
	\|634 \| lumbermill, sawmill\|
	\|635 \| magnetic compass\|
	\|636 \| mailbag, postbag\|
	\|637 \| mailbox, letter box\|
	\|638 \| maillot\|
	\|639 \| maillot, tank suit\|
	\|640 \| manhole cover\|
	\|641 \| maraca\|
	\|642 \| marimba, xylophone\|
	\|643 \| mask\|
	\|644 \| matchstick\|
	\|645 \| maypole\|
	\|646 \| maze, labyrinth\|
	\|647 \| measuring cup\|
	\|648 \| medicine chest, medicine cabinet\|
	\|649 \| megalith, megalithic structure\|
	\|650 \| microphone, mike\|
	\|651 \| microwave, microwave oven\|
	\|652 \| military uniform\|
	\|653 \| milk can\|
	\|654 \| minibus\|
	\|655 \| miniskirt, mini\|
	\|656 \| minivan\|
	\|657 \| missile\|
	\|658 \| mitten\|
	\|659 \| mixing bowl\|
	\|660 \| mobile home, manufactured home\|
	\|661 \| Model T\|
	\|662 \| modem\|
	\|663 \| monastery\|
	\|664 \| monitor\|
	\|665 \| moped\|
	\|666 \| mortar\|
	\|667 \| mortarboard\|
	\|668 \| mosque\|
	\|669 \| mosquito net\|
	\|670 \| motor scooter, scooter\|
	\|671 \| mountain bike, all-terrain bike, off-roader\|
	\|672 \| mountain tent\|
	\|673 \| mouse, computer mouse\|
	\|674 \| mousetrap\|
	\|675 \| moving van\|
	\|676 \| muzzle\|
	\|677 \| nail\|
	\|678 \| neck brace\|
	\|679 \| necklace\|
	\|680 \| nipple\|
	\|681 \| notebook, notebook computer\|
	\|682 \| obelisk\|
	\|683 \| oboe, hautboy, hautbois\|
	\|684 \| ocarina, sweet potato\|
	\|685 \| odometer, hodometer, mileometer, milometer\|
	\|686 \| oil filter\|
	\|687 \| organ, pipe organ\|
	\|688 \| oscilloscope, scope, cathode-ray oscilloscope, CRO\|
	\|689 \| overskirt\|
	\|690 \| oxcart\|
	\|691 \| oxygen mask\|
	\|692 \| packet\|
	\|693 \| paddle, boat paddle\|
	\|694 \| paddlewheel, paddle wheel\|
	\|695 \| padlock\|
	\|696 \| paintbrush\|
	\|697 \| pajama, pyjama, pj's, jammies\|
	\|698 \| palace\|
	\|699 \| panpipe, pandean pipe, syrinx\|
	\|700 \| paper towel\|
	\|701 \| parachute, chute\|
	\|702 \| parallel bars, bars\|
	\|703 \| park bench\|
	\|704 \| parking meter\|
	\|705 \| passenger car, coach, carriage\|
	\|706 \| patio, terrace\|
	\|707 \| pay-phone, pay-station\|
	\|708 \| pedestal, plinth, footstall\|
	\|709 \| pencil box, pencil case\|
	\|710 \| pencil sharpener\|
	\|711 \| perfume, essence\|
	\|712 \| Petri dish\|
	\|713 \| photocopier\|
	\|714 \| pick, plectrum, plectron\|
	\|715 \| pickelhaube\|
	\|716 \| picket fence, paling\|
	\|717 \| pickup, pickup truck\|
	\|718 \| pier\|
	\|719 \| piggy bank, penny bank\|
	\|720 \| pill bottle\|
	\|721 \| pillow\|
	\|722 \| ping-pong ball\|
	\|723 \| pinwheel\|
	\|724 \| pirate, pirate ship\|
	\|725 \| pitcher, ewer\|
	\|726 \| plane, carpenter's plane, woodworking plane\|
	\|727 \| planetarium\|
	\|728 \| plastic bag\|
	\|729 \| plate rack\|
	\|730 \| plow, plough\|
	\|731 \| plunger, plumber's helper\|
	\|732 \| Polaroid camera, Polaroid Land camera\|
	\|733 \| pole\|
	\|734 \| police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria\|
	\|735 \| poncho\|
	\|736 \| pool table, billiard table, snooker table\|
	\|737 \| pop bottle, soda bottle\|
	\|738 \| pot, flowerpot\|
	\|739 \| potter's wheel\|
	\|740 \| power drill\|
	\|741 \| prayer rug, prayer mat\|
	\|742 \| printer\|
	\|743 \| prison, prison house\|
	\|744 \| projectile, missile\|
	\|745 \| projector\|
	\|746 \| puck, hockey puck\|
	\|747 \| punching bag, punch bag, punching ball, punchball\|
	\|748 \| purse\|
	\|749 \| quill, quill pen\|
	\|750 \| quilt, comforter, comfort, puff\|
	\|751 \| racer, race car, racing car\|
	\|752 \| racket, racquet\|
	\|753 \| radiator\|
	\|754 \| radio, wireless\|
	\|755 \| radio telescope, radio reflector\|
	\|756 \| rain barrel\|
	\|757 \| recreational vehicle, RV, R.V.\|
	\|758 \| reel\|
	\|759 \| reflex camera\|
	\|760 \| refrigerator, icebox\|
	\|761 \| remote control, remote\|
	\|762 \| restaurant, eating house, eating place, eatery\|
	\|763 \| revolver, six-gun, six-shooter\|
	\|764 \| rifle\|
	\|765 \| rocking chair, rocker\|
	\|766 \| rotisserie\|
	\|767 \| rubber eraser, rubber, pencil eraser\|
	\|768 \| rugby ball\|
	\|769 \| rule, ruler\|
	\|770 \| running shoe\|
	\|771 \| safe\|
	\|772 \| safety pin\|
	\|773 \| saltshaker, salt shaker\|
	\|774 \| sandal\|
	\|775 \| sarong\|
	\|776 \| sax, saxophone\|
	\|777 \| scabbard\|
	\|778 \| scale, weighing machine\|
	\|779 \| school bus\|
	\|780 \| schooner\|
	\|781 \| scoreboard\|
	\|782 \| screen, CRT screen\|
	\|783 \| screw\|
	\|784 \| screwdriver\|
	\|785 \| seat belt, seatbelt\|
	\|786 \| sewing machine\|
	\|787 \| shield, buckler\|
	\|788 \| shoe shop, shoe-shop, shoe store\|
	\|789 \| shoji\|
	\|790 \| shopping basket\|
	\|791 \| shopping cart\|
	\|792 \| shovel\|
	\|793 \| shower cap\|
	\|794 \| shower curtain\|
	\|795 \| ski\|
	\|796 \| ski mask\|
	\|797 \| sleeping bag\|
	\|798 \| slide rule, slipstick\|
	\|799 \| sliding door\|
	\|800 \| slot, one-armed bandit\|
	\|801 \| snorkel\|
	\|802 \| snowmobile\|
	\|803 \| snowplow, snowplough\|
	\|804 \| soap dispenser\|
	\|805 \| soccer ball\|
	\|806 \| sock\|
	\|807 \| solar dish, solar collector, solar furnace\|
	\|808 \| sombrero\|
	\|809 \| soup bowl\|
	\|810 \| space bar\|
	\|811 \| space heater\|
	\|812 \| space shuttle\|
	\|813 \| spatula\|
	\|814 \| speedboat\|
	\|815 \| spider web, spider's web\|
	\|816 \| spindle\|
	\|817 \| sports car, sport car\|
	\|818 \| spotlight, spot\|
	\|819 \| stage\|
	\|820 \| steam locomotive\|
	\|821 \| steel arch bridge\|
	\|822 \| steel drum\|
	\|823 \| stethoscope\|
	\|824 \| stole\|
	\|825 \| stone wall\|
	\|826 \| stopwatch, stop watch\|
	\|827 \| stove\|
	\|828 \| strainer\|
	\|829 \| streetcar, tram, tramcar, trolley, trolley car\|
	\|830 \| stretcher\|
	\|831 \| studio couch, day bed\|
	\|832 \| stupa, tope\|
	\|833 \| submarine, pigboat, sub, U-boat\|
	\|834 \| suit, suit of clothes\|
	\|835 \| sundial\|
	\|836 \| sunglass\|
	\|837 \| sunglasses, dark glasses, shades\|
	\|838 \| sunscreen, sunblock, sun blocker\|
	\|839 \| suspension bridge\|
	\|840 \| swab, swob, mop\|
	\|841 \| sweatshirt\|
	\|842 \| swimming trunks, bathing trunks\|
	\|843 \| swing\|
	\|844 \| switch, electric switch, electrical switch\|
	\|845 \| syringe\|
	\|846 \| table lamp\|
	\|847 \| tank, army tank, armored combat vehicle, armoured combat vehicle\|
	\|848 \| tape player\|
	\|849 \| teapot\|
	\|850 \| teddy, teddy bear\|
	\|851 \| television, television system\|
	\|852 \| tennis ball\|
	\|853 \| thatch, thatched roof\|
	\|854 \| theater curtain, theatre curtain\|
	\|855 \| thimble\|
	\|856 \| thresher, thrasher, threshing machine\|
	\|857 \| throne\|
	\|858 \| tile roof\|
	\|859 \| toaster\|
	\|860 \| tobacco shop, tobacconist shop, tobacconist\|
	\|861 \| toilet seat\|
	\|862 \| torch\|
	\|863 \| totem pole\|
	\|864 \| tow truck, tow car, wrecker\|
	\|865 \| toyshop\|
	\|866 \| tractor\|
	\|867 \| trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi\|
	\|868 \| tray\|
	\|869 \| trench coat\|
	\|870 \| tricycle, trike, velocipede\|
	\|871 \| trimaran\|
	\|872 \| tripod\|
	\|873 \| triumphal arch\|
	\|874 \| trolleybus, trolley coach, trackless trolley\|
	\|875 \| trombone\|
	\|876 \| tub, vat\|
	\|877 \| turnstile\|
	\|878 \| typewriter keyboard\|
	\|879 \| umbrella\|
	\|880 \| unicycle, monocycle\|
	\|881 \| upright, upright piano\|
	\|882 \| vacuum, vacuum cleaner\|
	\|883 \| vase\|
	\|884 \| vault\|
	\|885 \| velvet\|
	\|886 \| vending machine\|
	\|887 \| vestment\|
	\|888 \| viaduct\|
	\|889 \| violin, fiddle\|
	\|890 \| volleyball\|
	\|891 \| waffle iron\|
	\|892 \| wall clock\|
	\|893 \| wallet, billfold, notecase, pocketbook\|
	\|894 \| wardrobe, closet, press\|
	\|895 \| warplane, military plane\|
	\|896 \| washbasin, handbasin, washbowl, lavabo, wash-hand basin\|
	\|897 \| washer, automatic washer, washing machine\|
	\|898 \| water bottle\|
	\|899 \| water jug\|
	\|900 \| water tower\|
	\|901 \| whiskey jug\|
	\|902 \| whistle\|
	\|903 \| wig\|
	\|904 \| window screen\|
	\|905 \| window shade\|
	\|906 \| Windsor tie\|
	\|907 \| wine bottle\|
	\|908 \| wing\|
	\|909 \| wok\|
	\|910 \| wooden spoon\|
	\|911 \| wool, woolen, woollen\|
	\|912 \| worm fence, snake fence, snake-rail fence, Virginia fence\|
	\|913 \| wreck\|
	\|914 \| yawl\|
	\|915 \| yurt\|
	\|916 \| web site, website, internet site, site\|
	\|917 \| comic book\|
	\|918 \| crossword puzzle, crossword\|
	\|919 \| street sign\|
	\|920 \| traffic light, traffic signal, stoplight\|
	\|921 \| book jacket, dust cover, dust jacket, dust wrapper\|
	\|922 \| menu\|
	\|923 \| plate\|
	\|924 \| guacamole\|
	\|925 \| consomme\|
	\|926 \| hot pot, hotpot\|
	\|927 \| trifle\|
	\|928 \| ice cream, icecream\|
	\|929 \| ice lolly, lolly, lollipop, popsicle\|
	\|930 \| French loaf\|
	\|931 \| bagel, beigel\|
	\|932 \| pretzel\|
	\|933 \| cheeseburger\|
	\|934 \| hotdog, hot dog, red hot\|
	\|935 \| mashed potato\|
	\|936 \| head cabbage\|
	\|937 \| broccoli\|
	\|938 \| cauliflower\|
	\|939 \| zucchini, courgette\|
	\|940 \| spaghetti squash\|
	\|941 \| acorn squash\|
	\|942 \| butternut squash\|
	\|943 \| cucumber, cuke\|
	\|944 \| artichoke, globe artichoke\|
	\|945 \| bell pepper\|
	\|946 \| cardoon\|
	\|947 \| mushroom\|
	\|948 \| Granny Smith\|
	\|949 \| strawberry\|
	\|950 \| orange\|
	\|951 \| lemon\|
	\|952 \| fig\|
	\|953 \| pineapple, ananas\|
	\|954 \| banana\|
	\|955 \| jackfruit, jak, jack\|
	\|956 \| custard apple\|
	\|957 \| pomegranate\|
	\|958 \| hay\|
	\|959 \| carbonara\|
	\|960 \| chocolate sauce, chocolate syrup\|
	\|961 \| dough\|
	\|962 \| meat loaf, meatloaf\|
	\|963 \| pizza, pizza pie\|
	\|964 \| potpie\|
	\|965 \| burrito\|
	\|966 \| red wine\|
	\|967 \| espresso\|
	\|968 \| cup\|
	\|969 \| eggnog\|
	\|970 \| alp\|
	\|971 \| bubble\|
	\|972 \| cliff, drop, drop-off\|
	\|973 \| coral reef\|
	\|974 \| geyser\|
	\|975 \| lakeside, lakeshore\|
	\|976 \| promontory, headland, head, foreland\|
	\|977 \| sandbar, sand bar\|
	\|978 \| seashore, coast, seacoast, sea-coast\|
	\|979 \| valley, vale\|
	\|980 \| volcano\|
	\|981 \| ballplayer, baseball player\|
	\|982 \| groom, bridegroom\|
	\|983 \| scuba diver\|
	\|984 \| rapeseed\|
	\|985 \| daisy\|
	\|986 \| yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum\|
	\|987 \| corn\|
	\|988 \| acorn\|
	\|989 \| hip, rose hip, rosehip\|
	\|990 \| buckeye, horse chestnut, conker\|
	\|991 \| coral fungus\|
	\|992 \| agaric\|
	\|993 \| gyromitra\|
	\|994 \| stinkhorn, carrion fungus\|
	\|995 \| earthstar\|
	\|996 \| hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa\|
	\|997 \| bolete\|
	\|998 \| ear, spike, capitulum\|
	\|999 \| toilet tissue, toilet paper, bathroom tissue\|
	</details>

	### Data Splits

	This dataset is a validation-only set.

	## Dataset Creation


	### Source Data

	This dataset is sourced from ImageNet, ImageNet-ReaL, ImageNet-V2, ImageNet-A, ImageNet-C, ImageNet-R, ImageNet-Sketch, and ObjectNet.

	## Citation Information

	```
	@article{taesiri2023zoom,
	title={ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification},
	author={Taesiri, Mohammad Reza and Nguyen, Giang and Habchi, Sarra and Bezemer, Cor-Paul and Nguyen, Anh},
	journal={arXiv preprint arXiv:2304.05538},
	year={2023}
	}
	```