Update README.md

README.md

@@ -1,8 +1,6 @@
 ---
 dataset_info:
   features:
-  - name: id
-    dtype: int64
   - name: image
     dtype: image
   - name: label
@@ -17,7 +15,1121 @@ dataset_info:
     num_examples: 10980
   download_size: 66129324319
   dataset_size: 70959420455.86
+license: mit
+task_categories:
+- image-classification
+language:
+- en
+tags:
+- OOD
+- ImageNet
+- Out Of Distribution
+pretty_name: ImageNet-Hard-4K
+size_categories:
+- 10K<n<100K
 ---
-# Dataset Card for "imagenet-hard-4K"
+# Dataset Card for "ImageNet-Hard-4K"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+[Project Page](https://taesiri.github.io/ZoomIsAllYouNeed/) - [Paper](https://arxiv.org/abs/2304.05538) - [Github](https://github.com/taesiri/ZoomIsAllYouNeed)
+
+## Dataset Summary
+
+
+**ImageNet-Hard-4K** is 4K version of the original [**ImageNet-Hard**](https://huggingface.co/datasets/taesiri/imagenet-hard) dataset, which 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.
+
+
+"We employed [GigaGAN](https://mingukkang.github.io/GigaGAN/) to upscale each image from the original ImageNet-Hard dataset to a resolution of 4K."
+
+
+### Dataset Distribution
+
+![Dataset Distribution](https://taesiri.github.io/ZoomIsAllYouNeed/static/svg/imagenet_hard_distribution.svg)
+
+
+### Classifiers Performance
+
+
+| Model               | Accuracy |
+| ------------------- | -------- |
+| AlexNet             | 7.08     |
+| VGG-16              | 11.32    |
+| ResNet-18           | 10.42    |
+| ResNet-50           | 13.93    |
+| ViT-B/32            | 18.12    |
+| EfficientNet-B0     | 12.94    |
+| EfficientNet-B7     | 18.67    |
+| EfficientNet-L2-Ns  | 28.42    |
+| CLIP-ViT-L/14@224px | 1.81     |
+| CLIP-ViT-L/14@336px | 1.88     |
+| OpenCLIP-ViT-bigG-14| 14.33    |
+| OpenCLIP-ViT-L-14   | 13.04    |
+
+
+
+**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>
+* 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={Zoom is what you need: An empirical 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}
+}
+```