Datasets:
Update README.md
Browse files
README.md
CHANGED
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@@ -17,7 +17,1125 @@ dataset_info:
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num_examples: 10980
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download_size: 66129324319
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dataset_size: 70959420455.86
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| 20 |
---
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# Dataset Card for "imagenet-hard-4K"
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-
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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|
| 17 |
num_examples: 10980
|
| 18 |
download_size: 66129324319
|
| 19 |
dataset_size: 70959420455.86
|
| 20 |
+
license: mit
|
| 21 |
+
task_categories:
|
| 22 |
+
- image-classification
|
| 23 |
+
language:
|
| 24 |
+
- en
|
| 25 |
+
tags:
|
| 26 |
+
- OOD
|
| 27 |
+
- ImageNet
|
| 28 |
+
- Out Of Distribution
|
| 29 |
+
pretty_name: ImageNet-Hard-4K
|
| 30 |
+
size_categories:
|
| 31 |
+
- 10K<n<100K
|
| 32 |
---
|
| 33 |
# Dataset Card for "imagenet-hard-4K"
|
| 34 |
|
| 35 |
+
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
## Dataset Summary
|
| 39 |
+
|
| 40 |
+
[Project Page](https://taesiri.github.io/ZoomIsAllYouNeed/) - [Paper](https://arxiv.org/abs/2304.05538) - [Github](https://github.com/taesiri/ZoomIsAllYouNeed)
|
| 41 |
+
|
| 42 |
+
|
| 43 |
+
**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.
|
| 44 |
+
|
| 45 |
+
|
| 46 |
+
## Upscaling Procedure
|
| 47 |
+
|
| 48 |
+
We employed [GigaGAN](https://mingukkang.github.io/GigaGAN/) to upscale each image from the original ImageNet-Hard dataset to a resolution of 4K.
|
| 49 |
+
|
| 50 |
+
|
| 51 |
+
### Dataset Distribution
|
| 52 |
+
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
|
| 56 |
+
### Classifiers Performance
|
| 57 |
+
|
| 58 |
+
|
| 59 |
+
| Model | Accuracy |
|
| 60 |
+
| ------------------- | -------- |
|
| 61 |
+
| AlexNet | 7.08 |
|
| 62 |
+
| VGG-16 | 11.32 |
|
| 63 |
+
| ResNet-18 | 10.42 |
|
| 64 |
+
| ResNet-50 | 13.93 |
|
| 65 |
+
| ViT-B/32 | 18.12 |
|
| 66 |
+
| EfficientNet-B0 | 12.94 |
|
| 67 |
+
| EfficientNet-B7 | 18.67 |
|
| 68 |
+
| EfficientNet-L2-Ns | 28.42 |
|
| 69 |
+
| CLIP-ViT-L/14@224px | 1.81 |
|
| 70 |
+
| CLIP-ViT-L/14@336px | 1.88 |
|
| 71 |
+
| OpenCLIP-ViT-bigG-14| 14.33 |
|
| 72 |
+
| OpenCLIP-ViT-L-14 | 13.04 |
|
| 73 |
+
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
**Evaluation Code**
|
| 77 |
+
|
| 78 |
+
* 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>
|
| 79 |
+
* 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>
|
| 80 |
+
|
| 81 |
+
## Supported Tasks
|
| 82 |
+
|
| 83 |
+
- `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).
|
| 84 |
+
|
| 85 |
+
## Languages
|
| 86 |
+
The `english_label` field in the dataset are in English.
|
| 87 |
+
|
| 88 |
+
## Dataset Structure
|
| 89 |
+
|
| 90 |
+
Data Instances
|
| 91 |
+
|
| 92 |
+
An example looks like this:
|
| 93 |
+
|
| 94 |
+
```python
|
| 95 |
+
{
|
| 96 |
+
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=575x409 at 0x7F09456B53A0>,
|
| 97 |
+
'label': [0],
|
| 98 |
+
'origin': 'imagenet_sketch',
|
| 99 |
+
'english_label': ['tench']
|
| 100 |
+
}
|
| 101 |
+
```
|
| 102 |
+
|
| 103 |
+
### Data Fields
|
| 104 |
+
The data instances have the following fields:
|
| 105 |
+
|
| 106 |
+
- 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].
|
| 107 |
+
- label: A List[int] collection containing the ground-truth ids.
|
| 108 |
+
- origin: A string containing source dataset.
|
| 109 |
+
- english_label: A List[str] collection containg the english labels for the ground-truth classes.
|
| 110 |
+
|
| 111 |
+
|
| 112 |
+
<details>
|
| 113 |
+
<summary>
|
| 114 |
+
Click here to see the full list of ImageNet class labels mapping:
|
| 115 |
+
</summary>
|
| 116 |
+
|
| 117 |
+
|id|Class|
|
| 118 |
+
|--|-----|
|
| 119 |
+
|0 | tench, Tinca tinca|
|
| 120 |
+
|1 | goldfish, Carassius auratus|
|
| 121 |
+
|2 | great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias|
|
| 122 |
+
|3 | tiger shark, Galeocerdo cuvieri|
|
| 123 |
+
|4 | hammerhead, hammerhead shark|
|
| 124 |
+
|5 | electric ray, crampfish, numbfish, torpedo|
|
| 125 |
+
|6 | stingray|
|
| 126 |
+
|7 | cock|
|
| 127 |
+
|8 | hen|
|
| 128 |
+
|9 | ostrich, Struthio camelus|
|
| 129 |
+
|10 | brambling, Fringilla montifringilla|
|
| 130 |
+
|11 | goldfinch, Carduelis carduelis|
|
| 131 |
+
|12 | house finch, linnet, Carpodacus mexicanus|
|
| 132 |
+
|13 | junco, snowbird|
|
| 133 |
+
|14 | indigo bunting, indigo finch, indigo bird, Passerina cyanea|
|
| 134 |
+
|15 | robin, American robin, Turdus migratorius|
|
| 135 |
+
|16 | bulbul|
|
| 136 |
+
|17 | jay|
|
| 137 |
+
|18 | magpie|
|
| 138 |
+
|19 | chickadee|
|
| 139 |
+
|20 | water ouzel, dipper|
|
| 140 |
+
|21 | kite|
|
| 141 |
+
|22 | bald eagle, American eagle, Haliaeetus leucocephalus|
|
| 142 |
+
|23 | vulture|
|
| 143 |
+
|24 | great grey owl, great gray owl, Strix nebulosa|
|
| 144 |
+
|25 | European fire salamander, Salamandra salamandra|
|
| 145 |
+
|26 | common newt, Triturus vulgaris|
|
| 146 |
+
|27 | eft|
|
| 147 |
+
|28 | spotted salamander, Ambystoma maculatum|
|
| 148 |
+
|29 | axolotl, mud puppy, Ambystoma mexicanum|
|
| 149 |
+
|30 | bullfrog, Rana catesbeiana|
|
| 150 |
+
|31 | tree frog, tree-frog|
|
| 151 |
+
|32 | tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui|
|
| 152 |
+
|33 | loggerhead, loggerhead turtle, Caretta caretta|
|
| 153 |
+
|34 | leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea|
|
| 154 |
+
|35 | mud turtle|
|
| 155 |
+
|36 | terrapin|
|
| 156 |
+
|37 | box turtle, box tortoise|
|
| 157 |
+
|38 | banded gecko|
|
| 158 |
+
|39 | common iguana, iguana, Iguana iguana|
|
| 159 |
+
|40 | American chameleon, anole, Anolis carolinensis|
|
| 160 |
+
|41 | whiptail, whiptail lizard|
|
| 161 |
+
|42 | agama|
|
| 162 |
+
|43 | frilled lizard, Chlamydosaurus kingi|
|
| 163 |
+
|44 | alligator lizard|
|
| 164 |
+
|45 | Gila monster, Heloderma suspectum|
|
| 165 |
+
|46 | green lizard, Lacerta viridis|
|
| 166 |
+
|47 | African chameleon, Chamaeleo chamaeleon|
|
| 167 |
+
|48 | Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis|
|
| 168 |
+
|49 | African crocodile, Nile crocodile, Crocodylus niloticus|
|
| 169 |
+
|50 | American alligator, Alligator mississipiensis|
|
| 170 |
+
|51 | triceratops|
|
| 171 |
+
|52 | thunder snake, worm snake, Carphophis amoenus|
|
| 172 |
+
|53 | ringneck snake, ring-necked snake, ring snake|
|
| 173 |
+
|54 | hognose snake, puff adder, sand viper|
|
| 174 |
+
|55 | green snake, grass snake|
|
| 175 |
+
|56 | king snake, kingsnake|
|
| 176 |
+
|57 | garter snake, grass snake|
|
| 177 |
+
|58 | water snake|
|
| 178 |
+
|59 | vine snake|
|
| 179 |
+
|60 | night snake, Hypsiglena torquata|
|
| 180 |
+
|61 | boa constrictor, Constrictor constrictor|
|
| 181 |
+
|62 | rock python, rock snake, Python sebae|
|
| 182 |
+
|63 | Indian cobra, Naja naja|
|
| 183 |
+
|64 | green mamba|
|
| 184 |
+
|65 | sea snake|
|
| 185 |
+
|66 | horned viper, cerastes, sand viper, horned asp, Cerastes cornutus|
|
| 186 |
+
|67 | diamondback, diamondback rattlesnake, Crotalus adamanteus|
|
| 187 |
+
|68 | sidewinder, horned rattlesnake, Crotalus cerastes|
|
| 188 |
+
|69 | trilobite|
|
| 189 |
+
|70 | harvestman, daddy longlegs, Phalangium opilio|
|
| 190 |
+
|71 | scorpion|
|
| 191 |
+
|72 | black and gold garden spider, Argiope aurantia|
|
| 192 |
+
|73 | barn spider, Araneus cavaticus|
|
| 193 |
+
|74 | garden spider, Aranea diademata|
|
| 194 |
+
|75 | black widow, Latrodectus mactans|
|
| 195 |
+
|76 | tarantula|
|
| 196 |
+
|77 | wolf spider, hunting spider|
|
| 197 |
+
|78 | tick|
|
| 198 |
+
|79 | centipede|
|
| 199 |
+
|80 | black grouse|
|
| 200 |
+
|81 | ptarmigan|
|
| 201 |
+
|82 | ruffed grouse, partridge, Bonasa umbellus|
|
| 202 |
+
|83 | prairie chicken, prairie grouse, prairie fowl|
|
| 203 |
+
|84 | peacock|
|
| 204 |
+
|85 | quail|
|
| 205 |
+
|86 | partridge|
|
| 206 |
+
|87 | African grey, African gray, Psittacus erithacus|
|
| 207 |
+
|88 | macaw|
|
| 208 |
+
|89 | sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita|
|
| 209 |
+
|90 | lorikeet|
|
| 210 |
+
|91 | coucal|
|
| 211 |
+
|92 | bee eater|
|
| 212 |
+
|93 | hornbill|
|
| 213 |
+
|94 | hummingbird|
|
| 214 |
+
|95 | jacamar|
|
| 215 |
+
|96 | toucan|
|
| 216 |
+
|97 | drake|
|
| 217 |
+
|98 | red-breasted merganser, Mergus serrator|
|
| 218 |
+
|99 | goose|
|
| 219 |
+
|100 | black swan, Cygnus atratus|
|
| 220 |
+
|101 | tusker|
|
| 221 |
+
|102 | echidna, spiny anteater, anteater|
|
| 222 |
+
|103 | platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus|
|
| 223 |
+
|104 | wallaby, brush kangaroo|
|
| 224 |
+
|105 | koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus|
|
| 225 |
+
|106 | wombat|
|
| 226 |
+
|107 | jellyfish|
|
| 227 |
+
|108 | sea anemone, anemone|
|
| 228 |
+
|109 | brain coral|
|
| 229 |
+
|110 | flatworm, platyhelminth|
|
| 230 |
+
|111 | nematode, nematode worm, roundworm|
|
| 231 |
+
|112 | conch|
|
| 232 |
+
|113 | snail|
|
| 233 |
+
|114 | slug|
|
| 234 |
+
|115 | sea slug, nudibranch|
|
| 235 |
+
|116 | chiton, coat-of-mail shell, sea cradle, polyplacophore|
|
| 236 |
+
|117 | chambered nautilus, pearly nautilus, nautilus|
|
| 237 |
+
|118 | Dungeness crab, Cancer magister|
|
| 238 |
+
|119 | rock crab, Cancer irroratus|
|
| 239 |
+
|120 | fiddler crab|
|
| 240 |
+
|121 | king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica|
|
| 241 |
+
|122 | American lobster, Northern lobster, Maine lobster, Homarus americanus|
|
| 242 |
+
|123 | spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish|
|
| 243 |
+
|124 | crayfish, crawfish, crawdad, crawdaddy|
|
| 244 |
+
|125 | hermit crab|
|
| 245 |
+
|126 | isopod|
|
| 246 |
+
|127 | white stork, Ciconia ciconia|
|
| 247 |
+
|128 | black stork, Ciconia nigra|
|
| 248 |
+
|129 | spoonbill|
|
| 249 |
+
|130 | flamingo|
|
| 250 |
+
|131 | little blue heron, Egretta caerulea|
|
| 251 |
+
|132 | American egret, great white heron, Egretta albus|
|
| 252 |
+
|133 | bittern|
|
| 253 |
+
|134 | crane|
|
| 254 |
+
|135 | limpkin, Aramus pictus|
|
| 255 |
+
|136 | European gallinule, Porphyrio porphyrio|
|
| 256 |
+
|137 | American coot, marsh hen, mud hen, water hen, Fulica americana|
|
| 257 |
+
|138 | bustard|
|
| 258 |
+
|139 | ruddy turnstone, Arenaria interpres|
|
| 259 |
+
|140 | red-backed sandpiper, dunlin, Erolia alpina|
|
| 260 |
+
|141 | redshank, Tringa totanus|
|
| 261 |
+
|142 | dowitcher|
|
| 262 |
+
|143 | oystercatcher, oyster catcher|
|
| 263 |
+
|144 | pelican|
|
| 264 |
+
|145 | king penguin, Aptenodytes patagonica|
|
| 265 |
+
|146 | albatross, mollymawk|
|
| 266 |
+
|147 | grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus|
|
| 267 |
+
|148 | killer whale, killer, orca, grampus, sea wolf, Orcinus orca|
|
| 268 |
+
|149 | dugong, Dugong dugon|
|
| 269 |
+
|150 | sea lion|
|
| 270 |
+
|151 | Chihuahua|
|
| 271 |
+
|152 | Japanese spaniel|
|
| 272 |
+
|153 | Maltese dog, Maltese terrier, Maltese|
|
| 273 |
+
|154 | Pekinese, Pekingese, Peke|
|
| 274 |
+
|155 | Shih-Tzu|
|
| 275 |
+
|156 | Blenheim spaniel|
|
| 276 |
+
|157 | papillon|
|
| 277 |
+
|158 | toy terrier|
|
| 278 |
+
|159 | Rhodesian ridgeback|
|
| 279 |
+
|160 | Afghan hound, Afghan|
|
| 280 |
+
|161 | basset, basset hound|
|
| 281 |
+
|162 | beagle|
|
| 282 |
+
|163 | bloodhound, sleuthhound|
|
| 283 |
+
|164 | bluetick|
|
| 284 |
+
|165 | black-and-tan coonhound|
|
| 285 |
+
|166 | Walker hound, Walker foxhound|
|
| 286 |
+
|167 | English foxhound|
|
| 287 |
+
|168 | redbone|
|
| 288 |
+
|169 | borzoi, Russian wolfhound|
|
| 289 |
+
|170 | Irish wolfhound|
|
| 290 |
+
|171 | Italian greyhound|
|
| 291 |
+
|172 | whippet|
|
| 292 |
+
|173 | Ibizan hound, Ibizan Podenco|
|
| 293 |
+
|174 | Norwegian elkhound, elkhound|
|
| 294 |
+
|175 | otterhound, otter hound|
|
| 295 |
+
|176 | Saluki, gazelle hound|
|
| 296 |
+
|177 | Scottish deerhound, deerhound|
|
| 297 |
+
|178 | Weimaraner|
|
| 298 |
+
|179 | Staffordshire bullterrier, Staffordshire bull terrier|
|
| 299 |
+
|180 | American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier|
|
| 300 |
+
|181 | Bedlington terrier|
|
| 301 |
+
|182 | Border terrier|
|
| 302 |
+
|183 | Kerry blue terrier|
|
| 303 |
+
|184 | Irish terrier|
|
| 304 |
+
|185 | Norfolk terrier|
|
| 305 |
+
|186 | Norwich terrier|
|
| 306 |
+
|187 | Yorkshire terrier|
|
| 307 |
+
|188 | wire-haired fox terrier|
|
| 308 |
+
|189 | Lakeland terrier|
|
| 309 |
+
|190 | Sealyham terrier, Sealyham|
|
| 310 |
+
|191 | Airedale, Airedale terrier|
|
| 311 |
+
|192 | cairn, cairn terrier|
|
| 312 |
+
|193 | Australian terrier|
|
| 313 |
+
|194 | Dandie Dinmont, Dandie Dinmont terrier|
|
| 314 |
+
|195 | Boston bull, Boston terrier|
|
| 315 |
+
|196 | miniature schnauzer|
|
| 316 |
+
|197 | giant schnauzer|
|
| 317 |
+
|198 | standard schnauzer|
|
| 318 |
+
|199 | Scotch terrier, Scottish terrier, Scottie|
|
| 319 |
+
|200 | Tibetan terrier, chrysanthemum dog|
|
| 320 |
+
|201 | silky terrier, Sydney silky|
|
| 321 |
+
|202 | soft-coated wheaten terrier|
|
| 322 |
+
|203 | West Highland white terrier|
|
| 323 |
+
|204 | Lhasa, Lhasa apso|
|
| 324 |
+
|205 | flat-coated retriever|
|
| 325 |
+
|206 | curly-coated retriever|
|
| 326 |
+
|207 | golden retriever|
|
| 327 |
+
|208 | Labrador retriever|
|
| 328 |
+
|209 | Chesapeake Bay retriever|
|
| 329 |
+
|210 | German short-haired pointer|
|
| 330 |
+
|211 | vizsla, Hungarian pointer|
|
| 331 |
+
|212 | English setter|
|
| 332 |
+
|213 | Irish setter, red setter|
|
| 333 |
+
|214 | Gordon setter|
|
| 334 |
+
|215 | Brittany spaniel|
|
| 335 |
+
|216 | clumber, clumber spaniel|
|
| 336 |
+
|217 | English springer, English springer spaniel|
|
| 337 |
+
|218 | Welsh springer spaniel|
|
| 338 |
+
|219 | cocker spaniel, English cocker spaniel, cocker|
|
| 339 |
+
|220 | Sussex spaniel|
|
| 340 |
+
|221 | Irish water spaniel|
|
| 341 |
+
|222 | kuvasz|
|
| 342 |
+
|223 | schipperke|
|
| 343 |
+
|224 | groenendael|
|
| 344 |
+
|225 | malinois|
|
| 345 |
+
|226 | briard|
|
| 346 |
+
|227 | kelpie|
|
| 347 |
+
|228 | komondor|
|
| 348 |
+
|229 | Old English sheepdog, bobtail|
|
| 349 |
+
|230 | Shetland sheepdog, Shetland sheep dog, Shetland|
|
| 350 |
+
|231 | collie|
|
| 351 |
+
|232 | Border collie|
|
| 352 |
+
|233 | Bouvier des Flandres, Bouviers des Flandres|
|
| 353 |
+
|234 | Rottweiler|
|
| 354 |
+
|235 | German shepherd, German shepherd dog, German police dog, alsatian|
|
| 355 |
+
|236 | Doberman, Doberman pinscher|
|
| 356 |
+
|237 | miniature pinscher|
|
| 357 |
+
|238 | Greater Swiss Mountain dog|
|
| 358 |
+
|239 | Bernese mountain dog|
|
| 359 |
+
|240 | Appenzeller|
|
| 360 |
+
|241 | EntleBucher|
|
| 361 |
+
|242 | boxer|
|
| 362 |
+
|243 | bull mastiff|
|
| 363 |
+
|244 | Tibetan mastiff|
|
| 364 |
+
|245 | French bulldog|
|
| 365 |
+
|246 | Great Dane|
|
| 366 |
+
|247 | Saint Bernard, St Bernard|
|
| 367 |
+
|248 | Eskimo dog, husky|
|
| 368 |
+
|249 | malamute, malemute, Alaskan malamute|
|
| 369 |
+
|250 | Siberian husky|
|
| 370 |
+
|251 | dalmatian, coach dog, carriage dog|
|
| 371 |
+
|252 | affenpinscher, monkey pinscher, monkey dog|
|
| 372 |
+
|253 | basenji|
|
| 373 |
+
|254 | pug, pug-dog|
|
| 374 |
+
|255 | Leonberg|
|
| 375 |
+
|256 | Newfoundland, Newfoundland dog|
|
| 376 |
+
|257 | Great Pyrenees|
|
| 377 |
+
|258 | Samoyed, Samoyede|
|
| 378 |
+
|259 | Pomeranian|
|
| 379 |
+
|260 | chow, chow chow|
|
| 380 |
+
|261 | keeshond|
|
| 381 |
+
|262 | Brabancon griffon|
|
| 382 |
+
|263 | Pembroke, Pembroke Welsh corgi|
|
| 383 |
+
|264 | Cardigan, Cardigan Welsh corgi|
|
| 384 |
+
|265 | toy poodle|
|
| 385 |
+
|266 | miniature poodle|
|
| 386 |
+
|267 | standard poodle|
|
| 387 |
+
|268 | Mexican hairless|
|
| 388 |
+
|269 | timber wolf, grey wolf, gray wolf, Canis lupus|
|
| 389 |
+
|270 | white wolf, Arctic wolf, Canis lupus tundrarum|
|
| 390 |
+
|271 | red wolf, maned wolf, Canis rufus, Canis niger|
|
| 391 |
+
|272 | coyote, prairie wolf, brush wolf, Canis latrans|
|
| 392 |
+
|273 | dingo, warrigal, warragal, Canis dingo|
|
| 393 |
+
|274 | dhole, Cuon alpinus|
|
| 394 |
+
|275 | African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus|
|
| 395 |
+
|276 | hyena, hyaena|
|
| 396 |
+
|277 | red fox, Vulpes vulpes|
|
| 397 |
+
|278 | kit fox, Vulpes macrotis|
|
| 398 |
+
|279 | Arctic fox, white fox, Alopex lagopus|
|
| 399 |
+
|280 | grey fox, gray fox, Urocyon cinereoargenteus|
|
| 400 |
+
|281 | tabby, tabby cat|
|
| 401 |
+
|282 | tiger cat|
|
| 402 |
+
|283 | Persian cat|
|
| 403 |
+
|284 | Siamese cat, Siamese|
|
| 404 |
+
|285 | Egyptian cat|
|
| 405 |
+
|286 | cougar, puma, catamount, mountain lion, painter, panther, Felis concolor|
|
| 406 |
+
|287 | lynx, catamount|
|
| 407 |
+
|288 | leopard, Panthera pardus|
|
| 408 |
+
|289 | snow leopard, ounce, Panthera uncia|
|
| 409 |
+
|290 | jaguar, panther, Panthera onca, Felis onca|
|
| 410 |
+
|291 | lion, king of beasts, Panthera leo|
|
| 411 |
+
|292 | tiger, Panthera tigris|
|
| 412 |
+
|293 | cheetah, chetah, Acinonyx jubatus|
|
| 413 |
+
|294 | brown bear, bruin, Ursus arctos|
|
| 414 |
+
|295 | American black bear, black bear, Ursus americanus, Euarctos americanus|
|
| 415 |
+
|296 | ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus|
|
| 416 |
+
|297 | sloth bear, Melursus ursinus, Ursus ursinus|
|
| 417 |
+
|298 | mongoose|
|
| 418 |
+
|299 | meerkat, mierkat|
|
| 419 |
+
|300 | tiger beetle|
|
| 420 |
+
|301 | ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle|
|
| 421 |
+
|302 | ground beetle, carabid beetle|
|
| 422 |
+
|303 | long-horned beetle, longicorn, longicorn beetle|
|
| 423 |
+
|304 | leaf beetle, chrysomelid|
|
| 424 |
+
|305 | dung beetle|
|
| 425 |
+
|306 | rhinoceros beetle|
|
| 426 |
+
|307 | weevil|
|
| 427 |
+
|308 | fly|
|
| 428 |
+
|309 | bee|
|
| 429 |
+
|310 | ant, emmet, pismire|
|
| 430 |
+
|311 | grasshopper, hopper|
|
| 431 |
+
|312 | cricket|
|
| 432 |
+
|313 | walking stick, walkingstick, stick insect|
|
| 433 |
+
|314 | cockroach, roach|
|
| 434 |
+
|315 | mantis, mantid|
|
| 435 |
+
|316 | cicada, cicala|
|
| 436 |
+
|317 | leafhopper|
|
| 437 |
+
|318 | lacewing, lacewing fly|
|
| 438 |
+
|319 | dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk|
|
| 439 |
+
|320 | damselfly|
|
| 440 |
+
|321 | admiral|
|
| 441 |
+
|322 | ringlet, ringlet butterfly|
|
| 442 |
+
|323 | monarch, monarch butterfly, milkweed butterfly, Danaus plexippus|
|
| 443 |
+
|324 | cabbage butterfly|
|
| 444 |
+
|325 | sulphur butterfly, sulfur butterfly|
|
| 445 |
+
|326 | lycaenid, lycaenid butterfly|
|
| 446 |
+
|327 | starfish, sea star|
|
| 447 |
+
|328 | sea urchin|
|
| 448 |
+
|329 | sea cucumber, holothurian|
|
| 449 |
+
|330 | wood rabbit, cottontail, cottontail rabbit|
|
| 450 |
+
|331 | hare|
|
| 451 |
+
|332 | Angora, Angora rabbit|
|
| 452 |
+
|333 | hamster|
|
| 453 |
+
|334 | porcupine, hedgehog|
|
| 454 |
+
|335 | fox squirrel, eastern fox squirrel, Sciurus niger|
|
| 455 |
+
|336 | marmot|
|
| 456 |
+
|337 | beaver|
|
| 457 |
+
|338 | guinea pig, Cavia cobaya|
|
| 458 |
+
|339 | sorrel|
|
| 459 |
+
|340 | zebra|
|
| 460 |
+
|341 | hog, pig, grunter, squealer, Sus scrofa|
|
| 461 |
+
|342 | wild boar, boar, Sus scrofa|
|
| 462 |
+
|343 | warthog|
|
| 463 |
+
|344 | hippopotamus, hippo, river horse, Hippopotamus amphibius|
|
| 464 |
+
|345 | ox|
|
| 465 |
+
|346 | water buffalo, water ox, Asiatic buffalo, Bubalus bubalis|
|
| 466 |
+
|347 | bison|
|
| 467 |
+
|348 | ram, tup|
|
| 468 |
+
|349 | bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis|
|
| 469 |
+
|350 | ibex, Capra ibex|
|
| 470 |
+
|351 | hartebeest|
|
| 471 |
+
|352 | impala, Aepyceros melampus|
|
| 472 |
+
|353 | gazelle|
|
| 473 |
+
|354 | Arabian camel, dromedary, Camelus dromedarius|
|
| 474 |
+
|355 | llama|
|
| 475 |
+
|356 | weasel|
|
| 476 |
+
|357 | mink|
|
| 477 |
+
|358 | polecat, fitch, foulmart, foumart, Mustela putorius|
|
| 478 |
+
|359 | black-footed ferret, ferret, Mustela nigripes|
|
| 479 |
+
|360 | otter|
|
| 480 |
+
|361 | skunk, polecat, wood pussy|
|
| 481 |
+
|362 | badger|
|
| 482 |
+
|363 | armadillo|
|
| 483 |
+
|364 | three-toed sloth, ai, Bradypus tridactylus|
|
| 484 |
+
|365 | orangutan, orang, orangutang, Pongo pygmaeus|
|
| 485 |
+
|366 | gorilla, Gorilla gorilla|
|
| 486 |
+
|367 | chimpanzee, chimp, Pan troglodytes|
|
| 487 |
+
|368 | gibbon, Hylobates lar|
|
| 488 |
+
|369 | siamang, Hylobates syndactylus, Symphalangus syndactylus|
|
| 489 |
+
|370 | guenon, guenon monkey|
|
| 490 |
+
|371 | patas, hussar monkey, Erythrocebus patas|
|
| 491 |
+
|372 | baboon|
|
| 492 |
+
|373 | macaque|
|
| 493 |
+
|374 | langur|
|
| 494 |
+
|375 | colobus, colobus monkey|
|
| 495 |
+
|376 | proboscis monkey, Nasalis larvatus|
|
| 496 |
+
|377 | marmoset|
|
| 497 |
+
|378 | capuchin, ringtail, Cebus capucinus|
|
| 498 |
+
|379 | howler monkey, howler|
|
| 499 |
+
|380 | titi, titi monkey|
|
| 500 |
+
|381 | spider monkey, Ateles geoffroyi|
|
| 501 |
+
|382 | squirrel monkey, Saimiri sciureus|
|
| 502 |
+
|383 | Madagascar cat, ring-tailed lemur, Lemur catta|
|
| 503 |
+
|384 | indri, indris, Indri indri, Indri brevicaudatus|
|
| 504 |
+
|385 | Indian elephant, Elephas maximus|
|
| 505 |
+
|386 | African elephant, Loxodonta africana|
|
| 506 |
+
|387 | lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens|
|
| 507 |
+
|388 | giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca|
|
| 508 |
+
|389 | barracouta, snoek|
|
| 509 |
+
|390 | eel|
|
| 510 |
+
|391 | coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch|
|
| 511 |
+
|392 | rock beauty, Holocanthus tricolor|
|
| 512 |
+
|393 | anemone fish|
|
| 513 |
+
|394 | sturgeon|
|
| 514 |
+
|395 | gar, garfish, garpike, billfish, Lepisosteus osseus|
|
| 515 |
+
|396 | lionfish|
|
| 516 |
+
|397 | puffer, pufferfish, blowfish, globefish|
|
| 517 |
+
|398 | abacus|
|
| 518 |
+
|399 | abaya|
|
| 519 |
+
|400 | academic gown, academic robe, judge's robe|
|
| 520 |
+
|401 | accordion, piano accordion, squeeze box|
|
| 521 |
+
|402 | acoustic guitar|
|
| 522 |
+
|403 | aircraft carrier, carrier, flattop, attack aircraft carrier|
|
| 523 |
+
|404 | airliner|
|
| 524 |
+
|405 | airship, dirigible|
|
| 525 |
+
|406 | altar|
|
| 526 |
+
|407 | ambulance|
|
| 527 |
+
|408 | amphibian, amphibious vehicle|
|
| 528 |
+
|409 | analog clock|
|
| 529 |
+
|410 | apiary, bee house|
|
| 530 |
+
|411 | apron|
|
| 531 |
+
|412 | ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin|
|
| 532 |
+
|413 | assault rifle, assault gun|
|
| 533 |
+
|414 | backpack, back pack, knapsack, packsack, rucksack, haversack|
|
| 534 |
+
|415 | bakery, bakeshop, bakehouse|
|
| 535 |
+
|416 | balance beam, beam|
|
| 536 |
+
|417 | balloon|
|
| 537 |
+
|418 | ballpoint, ballpoint pen, ballpen, Biro|
|
| 538 |
+
|419 | Band Aid|
|
| 539 |
+
|420 | banjo|
|
| 540 |
+
|421 | bannister, banister, balustrade, balusters, handrail|
|
| 541 |
+
|422 | barbell|
|
| 542 |
+
|423 | barber chair|
|
| 543 |
+
|424 | barbershop|
|
| 544 |
+
|425 | barn|
|
| 545 |
+
|426 | barometer|
|
| 546 |
+
|427 | barrel, cask|
|
| 547 |
+
|428 | barrow, garden cart, lawn cart, wheelbarrow|
|
| 548 |
+
|429 | baseball|
|
| 549 |
+
|430 | basketball|
|
| 550 |
+
|431 | bassinet|
|
| 551 |
+
|432 | bassoon|
|
| 552 |
+
|433 | bathing cap, swimming cap|
|
| 553 |
+
|434 | bath towel|
|
| 554 |
+
|435 | bathtub, bathing tub, bath, tub|
|
| 555 |
+
|436 | beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon|
|
| 556 |
+
|437 | beacon, lighthouse, beacon light, pharos|
|
| 557 |
+
|438 | beaker|
|
| 558 |
+
|439 | bearskin, busby, shako|
|
| 559 |
+
|440 | beer bottle|
|
| 560 |
+
|441 | beer glass|
|
| 561 |
+
|442 | bell cote, bell cot|
|
| 562 |
+
|443 | bib|
|
| 563 |
+
|444 | bicycle-built-for-two, tandem bicycle, tandem|
|
| 564 |
+
|445 | bikini, two-piece|
|
| 565 |
+
|446 | binder, ring-binder|
|
| 566 |
+
|447 | binoculars, field glasses, opera glasses|
|
| 567 |
+
|448 | birdhouse|
|
| 568 |
+
|449 | boathouse|
|
| 569 |
+
|450 | bobsled, bobsleigh, bob|
|
| 570 |
+
|451 | bolo tie, bolo, bola tie, bola|
|
| 571 |
+
|452 | bonnet, poke bonnet|
|
| 572 |
+
|453 | bookcase|
|
| 573 |
+
|454 | bookshop, bookstore, bookstall|
|
| 574 |
+
|455 | bottlecap|
|
| 575 |
+
|456 | bow|
|
| 576 |
+
|457 | bow tie, bow-tie, bowtie|
|
| 577 |
+
|458 | brass, memorial tablet, plaque|
|
| 578 |
+
|459 | brassiere, bra, bandeau|
|
| 579 |
+
|460 | breakwater, groin, groyne, mole, bulwark, seawall, jetty|
|
| 580 |
+
|461 | breastplate, aegis, egis|
|
| 581 |
+
|462 | broom|
|
| 582 |
+
|463 | bucket, pail|
|
| 583 |
+
|464 | buckle|
|
| 584 |
+
|465 | bulletproof vest|
|
| 585 |
+
|466 | bullet train, bullet|
|
| 586 |
+
|467 | butcher shop, meat market|
|
| 587 |
+
|468 | cab, hack, taxi, taxicab|
|
| 588 |
+
|469 | caldron, cauldron|
|
| 589 |
+
|470 | candle, taper, wax light|
|
| 590 |
+
|471 | cannon|
|
| 591 |
+
|472 | canoe|
|
| 592 |
+
|473 | can opener, tin opener|
|
| 593 |
+
|474 | cardigan|
|
| 594 |
+
|475 | car mirror|
|
| 595 |
+
|476 | carousel, carrousel, merry-go-round, roundabout, whirligig|
|
| 596 |
+
|477 | carpenter's kit, tool kit|
|
| 597 |
+
|478 | carton|
|
| 598 |
+
|479 | car wheel|
|
| 599 |
+
|480 | cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM|
|
| 600 |
+
|481 | cassette|
|
| 601 |
+
|482 | cassette player|
|
| 602 |
+
|483 | castle|
|
| 603 |
+
|484 | catamaran|
|
| 604 |
+
|485 | CD player|
|
| 605 |
+
|486 | cello, violoncello|
|
| 606 |
+
|487 | cellular telephone, cellular phone, cellphone, cell, mobile phone|
|
| 607 |
+
|488 | chain|
|
| 608 |
+
|489 | chainlink fence|
|
| 609 |
+
|490 | chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour|
|
| 610 |
+
|491 | chain saw, chainsaw|
|
| 611 |
+
|492 | chest|
|
| 612 |
+
|493 | chiffonier, commode|
|
| 613 |
+
|494 | chime, bell, gong|
|
| 614 |
+
|495 | china cabinet, china closet|
|
| 615 |
+
|496 | Christmas stocking|
|
| 616 |
+
|497 | church, church building|
|
| 617 |
+
|498 | cinema, movie theater, movie theatre, movie house, picture palace|
|
| 618 |
+
|499 | cleaver, meat cleaver, chopper|
|
| 619 |
+
|500 | cliff dwelling|
|
| 620 |
+
|501 | cloak|
|
| 621 |
+
|502 | clog, geta, patten, sabot|
|
| 622 |
+
|503 | cocktail shaker|
|
| 623 |
+
|504 | coffee mug|
|
| 624 |
+
|505 | coffeepot|
|
| 625 |
+
|506 | coil, spiral, volute, whorl, helix|
|
| 626 |
+
|507 | combination lock|
|
| 627 |
+
|508 | computer keyboard, keypad|
|
| 628 |
+
|509 | confectionery, confectionary, candy store|
|
| 629 |
+
|510 | container ship, containership, container vessel|
|
| 630 |
+
|511 | convertible|
|
| 631 |
+
|512 | corkscrew, bottle screw|
|
| 632 |
+
|513 | cornet, horn, trumpet, trump|
|
| 633 |
+
|514 | cowboy boot|
|
| 634 |
+
|515 | cowboy hat, ten-gallon hat|
|
| 635 |
+
|516 | cradle|
|
| 636 |
+
|517 | crane_1|
|
| 637 |
+
|518 | crash helmet|
|
| 638 |
+
|519 | crate|
|
| 639 |
+
|520 | crib, cot|
|
| 640 |
+
|521 | Crock Pot|
|
| 641 |
+
|522 | croquet ball|
|
| 642 |
+
|523 | crutch|
|
| 643 |
+
|524 | cuirass|
|
| 644 |
+
|525 | dam, dike, dyke|
|
| 645 |
+
|526 | desk|
|
| 646 |
+
|527 | desktop computer|
|
| 647 |
+
|528 | dial telephone, dial phone|
|
| 648 |
+
|529 | diaper, nappy, napkin|
|
| 649 |
+
|530 | digital clock|
|
| 650 |
+
|531 | digital watch|
|
| 651 |
+
|532 | dining table, board|
|
| 652 |
+
|533 | dishrag, dishcloth|
|
| 653 |
+
|534 | dishwasher, dish washer, dishwashing machine|
|
| 654 |
+
|535 | disk brake, disc brake|
|
| 655 |
+
|536 | dock, dockage, docking facility|
|
| 656 |
+
|537 | dogsled, dog sled, dog sleigh|
|
| 657 |
+
|538 | dome|
|
| 658 |
+
|539 | doormat, welcome mat|
|
| 659 |
+
|540 | drilling platform, offshore rig|
|
| 660 |
+
|541 | drum, membranophone, tympan|
|
| 661 |
+
|542 | drumstick|
|
| 662 |
+
|543 | dumbbell|
|
| 663 |
+
|544 | Dutch oven|
|
| 664 |
+
|545 | electric fan, blower|
|
| 665 |
+
|546 | electric guitar|
|
| 666 |
+
|547 | electric locomotive|
|
| 667 |
+
|548 | entertainment center|
|
| 668 |
+
|549 | envelope|
|
| 669 |
+
|550 | espresso maker|
|
| 670 |
+
|551 | face powder|
|
| 671 |
+
|552 | feather boa, boa|
|
| 672 |
+
|553 | file, file cabinet, filing cabinet|
|
| 673 |
+
|554 | fireboat|
|
| 674 |
+
|555 | fire engine, fire truck|
|
| 675 |
+
|556 | fire screen, fireguard|
|
| 676 |
+
|557 | flagpole, flagstaff|
|
| 677 |
+
|558 | flute, transverse flute|
|
| 678 |
+
|559 | folding chair|
|
| 679 |
+
|560 | football helmet|
|
| 680 |
+
|561 | forklift|
|
| 681 |
+
|562 | fountain|
|
| 682 |
+
|563 | fountain pen|
|
| 683 |
+
|564 | four-poster|
|
| 684 |
+
|565 | freight car|
|
| 685 |
+
|566 | French horn, horn|
|
| 686 |
+
|567 | frying pan, frypan, skillet|
|
| 687 |
+
|568 | fur coat|
|
| 688 |
+
|569 | garbage truck, dustcart|
|
| 689 |
+
|570 | gasmask, respirator, gas helmet|
|
| 690 |
+
|571 | gas pump, gasoline pump, petrol pump, island dispenser|
|
| 691 |
+
|572 | goblet|
|
| 692 |
+
|573 | go-kart|
|
| 693 |
+
|574 | golf ball|
|
| 694 |
+
|575 | golfcart, golf cart|
|
| 695 |
+
|576 | gondola|
|
| 696 |
+
|577 | gong, tam-tam|
|
| 697 |
+
|578 | gown|
|
| 698 |
+
|579 | grand piano, grand|
|
| 699 |
+
|580 | greenhouse, nursery, glasshouse|
|
| 700 |
+
|581 | grille, radiator grille|
|
| 701 |
+
|582 | grocery store, grocery, food market, market|
|
| 702 |
+
|583 | guillotine|
|
| 703 |
+
|584 | hair slide|
|
| 704 |
+
|585 | hair spray|
|
| 705 |
+
|586 | half track|
|
| 706 |
+
|587 | hammer|
|
| 707 |
+
|588 | hamper|
|
| 708 |
+
|589 | hand blower, blow dryer, blow drier, hair dryer, hair drier|
|
| 709 |
+
|590 | hand-held computer, hand-held microcomputer|
|
| 710 |
+
|591 | handkerchief, hankie, hanky, hankey|
|
| 711 |
+
|592 | hard disc, hard disk, fixed disk|
|
| 712 |
+
|593 | harmonica, mouth organ, harp, mouth harp|
|
| 713 |
+
|594 | harp|
|
| 714 |
+
|595 | harvester, reaper|
|
| 715 |
+
|596 | hatchet|
|
| 716 |
+
|597 | holster|
|
| 717 |
+
|598 | home theater, home theatre|
|
| 718 |
+
|599 | honeycomb|
|
| 719 |
+
|600 | hook, claw|
|
| 720 |
+
|601 | hoopskirt, crinoline|
|
| 721 |
+
|602 | horizontal bar, high bar|
|
| 722 |
+
|603 | horse cart, horse-cart|
|
| 723 |
+
|604 | hourglass|
|
| 724 |
+
|605 | iPod|
|
| 725 |
+
|606 | iron, smoothing iron|
|
| 726 |
+
|607 | jack-o'-lantern|
|
| 727 |
+
|608 | jean, blue jean, denim|
|
| 728 |
+
|609 | jeep, landrover|
|
| 729 |
+
|610 | jersey, T-shirt, tee shirt|
|
| 730 |
+
|611 | jigsaw puzzle|
|
| 731 |
+
|612 | jinrikisha, ricksha, rickshaw|
|
| 732 |
+
|613 | joystick|
|
| 733 |
+
|614 | kimono|
|
| 734 |
+
|615 | knee pad|
|
| 735 |
+
|616 | knot|
|
| 736 |
+
|617 | lab coat, laboratory coat|
|
| 737 |
+
|618 | ladle|
|
| 738 |
+
|619 | lampshade, lamp shade|
|
| 739 |
+
|620 | laptop, laptop computer|
|
| 740 |
+
|621 | lawn mower, mower|
|
| 741 |
+
|622 | lens cap, lens cover|
|
| 742 |
+
|623 | letter opener, paper knife, paperknife|
|
| 743 |
+
|624 | library|
|
| 744 |
+
|625 | lifeboat|
|
| 745 |
+
|626 | lighter, light, igniter, ignitor|
|
| 746 |
+
|627 | limousine, limo|
|
| 747 |
+
|628 | liner, ocean liner|
|
| 748 |
+
|629 | lipstick, lip rouge|
|
| 749 |
+
|630 | Loafer|
|
| 750 |
+
|631 | lotion|
|
| 751 |
+
|632 | loudspeaker, speaker, speaker unit, loudspeaker system, speaker system|
|
| 752 |
+
|633 | loupe, jeweler's loupe|
|
| 753 |
+
|634 | lumbermill, sawmill|
|
| 754 |
+
|635 | magnetic compass|
|
| 755 |
+
|636 | mailbag, postbag|
|
| 756 |
+
|637 | mailbox, letter box|
|
| 757 |
+
|638 | maillot|
|
| 758 |
+
|639 | maillot, tank suit|
|
| 759 |
+
|640 | manhole cover|
|
| 760 |
+
|641 | maraca|
|
| 761 |
+
|642 | marimba, xylophone|
|
| 762 |
+
|643 | mask|
|
| 763 |
+
|644 | matchstick|
|
| 764 |
+
|645 | maypole|
|
| 765 |
+
|646 | maze, labyrinth|
|
| 766 |
+
|647 | measuring cup|
|
| 767 |
+
|648 | medicine chest, medicine cabinet|
|
| 768 |
+
|649 | megalith, megalithic structure|
|
| 769 |
+
|650 | microphone, mike|
|
| 770 |
+
|651 | microwave, microwave oven|
|
| 771 |
+
|652 | military uniform|
|
| 772 |
+
|653 | milk can|
|
| 773 |
+
|654 | minibus|
|
| 774 |
+
|655 | miniskirt, mini|
|
| 775 |
+
|656 | minivan|
|
| 776 |
+
|657 | missile|
|
| 777 |
+
|658 | mitten|
|
| 778 |
+
|659 | mixing bowl|
|
| 779 |
+
|660 | mobile home, manufactured home|
|
| 780 |
+
|661 | Model T|
|
| 781 |
+
|662 | modem|
|
| 782 |
+
|663 | monastery|
|
| 783 |
+
|664 | monitor|
|
| 784 |
+
|665 | moped|
|
| 785 |
+
|666 | mortar|
|
| 786 |
+
|667 | mortarboard|
|
| 787 |
+
|668 | mosque|
|
| 788 |
+
|669 | mosquito net|
|
| 789 |
+
|670 | motor scooter, scooter|
|
| 790 |
+
|671 | mountain bike, all-terrain bike, off-roader|
|
| 791 |
+
|672 | mountain tent|
|
| 792 |
+
|673 | mouse, computer mouse|
|
| 793 |
+
|674 | mousetrap|
|
| 794 |
+
|675 | moving van|
|
| 795 |
+
|676 | muzzle|
|
| 796 |
+
|677 | nail|
|
| 797 |
+
|678 | neck brace|
|
| 798 |
+
|679 | necklace|
|
| 799 |
+
|680 | nipple|
|
| 800 |
+
|681 | notebook, notebook computer|
|
| 801 |
+
|682 | obelisk|
|
| 802 |
+
|683 | oboe, hautboy, hautbois|
|
| 803 |
+
|684 | ocarina, sweet potato|
|
| 804 |
+
|685 | odometer, hodometer, mileometer, milometer|
|
| 805 |
+
|686 | oil filter|
|
| 806 |
+
|687 | organ, pipe organ|
|
| 807 |
+
|688 | oscilloscope, scope, cathode-ray oscilloscope, CRO|
|
| 808 |
+
|689 | overskirt|
|
| 809 |
+
|690 | oxcart|
|
| 810 |
+
|691 | oxygen mask|
|
| 811 |
+
|692 | packet|
|
| 812 |
+
|693 | paddle, boat paddle|
|
| 813 |
+
|694 | paddlewheel, paddle wheel|
|
| 814 |
+
|695 | padlock|
|
| 815 |
+
|696 | paintbrush|
|
| 816 |
+
|697 | pajama, pyjama, pj's, jammies|
|
| 817 |
+
|698 | palace|
|
| 818 |
+
|699 | panpipe, pandean pipe, syrinx|
|
| 819 |
+
|700 | paper towel|
|
| 820 |
+
|701 | parachute, chute|
|
| 821 |
+
|702 | parallel bars, bars|
|
| 822 |
+
|703 | park bench|
|
| 823 |
+
|704 | parking meter|
|
| 824 |
+
|705 | passenger car, coach, carriage|
|
| 825 |
+
|706 | patio, terrace|
|
| 826 |
+
|707 | pay-phone, pay-station|
|
| 827 |
+
|708 | pedestal, plinth, footstall|
|
| 828 |
+
|709 | pencil box, pencil case|
|
| 829 |
+
|710 | pencil sharpener|
|
| 830 |
+
|711 | perfume, essence|
|
| 831 |
+
|712 | Petri dish|
|
| 832 |
+
|713 | photocopier|
|
| 833 |
+
|714 | pick, plectrum, plectron|
|
| 834 |
+
|715 | pickelhaube|
|
| 835 |
+
|716 | picket fence, paling|
|
| 836 |
+
|717 | pickup, pickup truck|
|
| 837 |
+
|718 | pier|
|
| 838 |
+
|719 | piggy bank, penny bank|
|
| 839 |
+
|720 | pill bottle|
|
| 840 |
+
|721 | pillow|
|
| 841 |
+
|722 | ping-pong ball|
|
| 842 |
+
|723 | pinwheel|
|
| 843 |
+
|724 | pirate, pirate ship|
|
| 844 |
+
|725 | pitcher, ewer|
|
| 845 |
+
|726 | plane, carpenter's plane, woodworking plane|
|
| 846 |
+
|727 | planetarium|
|
| 847 |
+
|728 | plastic bag|
|
| 848 |
+
|729 | plate rack|
|
| 849 |
+
|730 | plow, plough|
|
| 850 |
+
|731 | plunger, plumber's helper|
|
| 851 |
+
|732 | Polaroid camera, Polaroid Land camera|
|
| 852 |
+
|733 | pole|
|
| 853 |
+
|734 | police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria|
|
| 854 |
+
|735 | poncho|
|
| 855 |
+
|736 | pool table, billiard table, snooker table|
|
| 856 |
+
|737 | pop bottle, soda bottle|
|
| 857 |
+
|738 | pot, flowerpot|
|
| 858 |
+
|739 | potter's wheel|
|
| 859 |
+
|740 | power drill|
|
| 860 |
+
|741 | prayer rug, prayer mat|
|
| 861 |
+
|742 | printer|
|
| 862 |
+
|743 | prison, prison house|
|
| 863 |
+
|744 | projectile, missile|
|
| 864 |
+
|745 | projector|
|
| 865 |
+
|746 | puck, hockey puck|
|
| 866 |
+
|747 | punching bag, punch bag, punching ball, punchball|
|
| 867 |
+
|748 | purse|
|
| 868 |
+
|749 | quill, quill pen|
|
| 869 |
+
|750 | quilt, comforter, comfort, puff|
|
| 870 |
+
|751 | racer, race car, racing car|
|
| 871 |
+
|752 | racket, racquet|
|
| 872 |
+
|753 | radiator|
|
| 873 |
+
|754 | radio, wireless|
|
| 874 |
+
|755 | radio telescope, radio reflector|
|
| 875 |
+
|756 | rain barrel|
|
| 876 |
+
|757 | recreational vehicle, RV, R.V.|
|
| 877 |
+
|758 | reel|
|
| 878 |
+
|759 | reflex camera|
|
| 879 |
+
|760 | refrigerator, icebox|
|
| 880 |
+
|761 | remote control, remote|
|
| 881 |
+
|762 | restaurant, eating house, eating place, eatery|
|
| 882 |
+
|763 | revolver, six-gun, six-shooter|
|
| 883 |
+
|764 | rifle|
|
| 884 |
+
|765 | rocking chair, rocker|
|
| 885 |
+
|766 | rotisserie|
|
| 886 |
+
|767 | rubber eraser, rubber, pencil eraser|
|
| 887 |
+
|768 | rugby ball|
|
| 888 |
+
|769 | rule, ruler|
|
| 889 |
+
|770 | running shoe|
|
| 890 |
+
|771 | safe|
|
| 891 |
+
|772 | safety pin|
|
| 892 |
+
|773 | saltshaker, salt shaker|
|
| 893 |
+
|774 | sandal|
|
| 894 |
+
|775 | sarong|
|
| 895 |
+
|776 | sax, saxophone|
|
| 896 |
+
|777 | scabbard|
|
| 897 |
+
|778 | scale, weighing machine|
|
| 898 |
+
|779 | school bus|
|
| 899 |
+
|780 | schooner|
|
| 900 |
+
|781 | scoreboard|
|
| 901 |
+
|782 | screen, CRT screen|
|
| 902 |
+
|783 | screw|
|
| 903 |
+
|784 | screwdriver|
|
| 904 |
+
|785 | seat belt, seatbelt|
|
| 905 |
+
|786 | sewing machine|
|
| 906 |
+
|787 | shield, buckler|
|
| 907 |
+
|788 | shoe shop, shoe-shop, shoe store|
|
| 908 |
+
|789 | shoji|
|
| 909 |
+
|790 | shopping basket|
|
| 910 |
+
|791 | shopping cart|
|
| 911 |
+
|792 | shovel|
|
| 912 |
+
|793 | shower cap|
|
| 913 |
+
|794 | shower curtain|
|
| 914 |
+
|795 | ski|
|
| 915 |
+
|796 | ski mask|
|
| 916 |
+
|797 | sleeping bag|
|
| 917 |
+
|798 | slide rule, slipstick|
|
| 918 |
+
|799 | sliding door|
|
| 919 |
+
|800 | slot, one-armed bandit|
|
| 920 |
+
|801 | snorkel|
|
| 921 |
+
|802 | snowmobile|
|
| 922 |
+
|803 | snowplow, snowplough|
|
| 923 |
+
|804 | soap dispenser|
|
| 924 |
+
|805 | soccer ball|
|
| 925 |
+
|806 | sock|
|
| 926 |
+
|807 | solar dish, solar collector, solar furnace|
|
| 927 |
+
|808 | sombrero|
|
| 928 |
+
|809 | soup bowl|
|
| 929 |
+
|810 | space bar|
|
| 930 |
+
|811 | space heater|
|
| 931 |
+
|812 | space shuttle|
|
| 932 |
+
|813 | spatula|
|
| 933 |
+
|814 | speedboat|
|
| 934 |
+
|815 | spider web, spider's web|
|
| 935 |
+
|816 | spindle|
|
| 936 |
+
|817 | sports car, sport car|
|
| 937 |
+
|818 | spotlight, spot|
|
| 938 |
+
|819 | stage|
|
| 939 |
+
|820 | steam locomotive|
|
| 940 |
+
|821 | steel arch bridge|
|
| 941 |
+
|822 | steel drum|
|
| 942 |
+
|823 | stethoscope|
|
| 943 |
+
|824 | stole|
|
| 944 |
+
|825 | stone wall|
|
| 945 |
+
|826 | stopwatch, stop watch|
|
| 946 |
+
|827 | stove|
|
| 947 |
+
|828 | strainer|
|
| 948 |
+
|829 | streetcar, tram, tramcar, trolley, trolley car|
|
| 949 |
+
|830 | stretcher|
|
| 950 |
+
|831 | studio couch, day bed|
|
| 951 |
+
|832 | stupa, tope|
|
| 952 |
+
|833 | submarine, pigboat, sub, U-boat|
|
| 953 |
+
|834 | suit, suit of clothes|
|
| 954 |
+
|835 | sundial|
|
| 955 |
+
|836 | sunglass|
|
| 956 |
+
|837 | sunglasses, dark glasses, shades|
|
| 957 |
+
|838 | sunscreen, sunblock, sun blocker|
|
| 958 |
+
|839 | suspension bridge|
|
| 959 |
+
|840 | swab, swob, mop|
|
| 960 |
+
|841 | sweatshirt|
|
| 961 |
+
|842 | swimming trunks, bathing trunks|
|
| 962 |
+
|843 | swing|
|
| 963 |
+
|844 | switch, electric switch, electrical switch|
|
| 964 |
+
|845 | syringe|
|
| 965 |
+
|846 | table lamp|
|
| 966 |
+
|847 | tank, army tank, armored combat vehicle, armoured combat vehicle|
|
| 967 |
+
|848 | tape player|
|
| 968 |
+
|849 | teapot|
|
| 969 |
+
|850 | teddy, teddy bear|
|
| 970 |
+
|851 | television, television system|
|
| 971 |
+
|852 | tennis ball|
|
| 972 |
+
|853 | thatch, thatched roof|
|
| 973 |
+
|854 | theater curtain, theatre curtain|
|
| 974 |
+
|855 | thimble|
|
| 975 |
+
|856 | thresher, thrasher, threshing machine|
|
| 976 |
+
|857 | throne|
|
| 977 |
+
|858 | tile roof|
|
| 978 |
+
|859 | toaster|
|
| 979 |
+
|860 | tobacco shop, tobacconist shop, tobacconist|
|
| 980 |
+
|861 | toilet seat|
|
| 981 |
+
|862 | torch|
|
| 982 |
+
|863 | totem pole|
|
| 983 |
+
|864 | tow truck, tow car, wrecker|
|
| 984 |
+
|865 | toyshop|
|
| 985 |
+
|866 | tractor|
|
| 986 |
+
|867 | trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi|
|
| 987 |
+
|868 | tray|
|
| 988 |
+
|869 | trench coat|
|
| 989 |
+
|870 | tricycle, trike, velocipede|
|
| 990 |
+
|871 | trimaran|
|
| 991 |
+
|872 | tripod|
|
| 992 |
+
|873 | triumphal arch|
|
| 993 |
+
|874 | trolleybus, trolley coach, trackless trolley|
|
| 994 |
+
|875 | trombone|
|
| 995 |
+
|876 | tub, vat|
|
| 996 |
+
|877 | turnstile|
|
| 997 |
+
|878 | typewriter keyboard|
|
| 998 |
+
|879 | umbrella|
|
| 999 |
+
|880 | unicycle, monocycle|
|
| 1000 |
+
|881 | upright, upright piano|
|
| 1001 |
+
|882 | vacuum, vacuum cleaner|
|
| 1002 |
+
|883 | vase|
|
| 1003 |
+
|884 | vault|
|
| 1004 |
+
|885 | velvet|
|
| 1005 |
+
|886 | vending machine|
|
| 1006 |
+
|887 | vestment|
|
| 1007 |
+
|888 | viaduct|
|
| 1008 |
+
|889 | violin, fiddle|
|
| 1009 |
+
|890 | volleyball|
|
| 1010 |
+
|891 | waffle iron|
|
| 1011 |
+
|892 | wall clock|
|
| 1012 |
+
|893 | wallet, billfold, notecase, pocketbook|
|
| 1013 |
+
|894 | wardrobe, closet, press|
|
| 1014 |
+
|895 | warplane, military plane|
|
| 1015 |
+
|896 | washbasin, handbasin, washbowl, lavabo, wash-hand basin|
|
| 1016 |
+
|897 | washer, automatic washer, washing machine|
|
| 1017 |
+
|898 | water bottle|
|
| 1018 |
+
|899 | water jug|
|
| 1019 |
+
|900 | water tower|
|
| 1020 |
+
|901 | whiskey jug|
|
| 1021 |
+
|902 | whistle|
|
| 1022 |
+
|903 | wig|
|
| 1023 |
+
|904 | window screen|
|
| 1024 |
+
|905 | window shade|
|
| 1025 |
+
|906 | Windsor tie|
|
| 1026 |
+
|907 | wine bottle|
|
| 1027 |
+
|908 | wing|
|
| 1028 |
+
|909 | wok|
|
| 1029 |
+
|910 | wooden spoon|
|
| 1030 |
+
|911 | wool, woolen, woollen|
|
| 1031 |
+
|912 | worm fence, snake fence, snake-rail fence, Virginia fence|
|
| 1032 |
+
|913 | wreck|
|
| 1033 |
+
|914 | yawl|
|
| 1034 |
+
|915 | yurt|
|
| 1035 |
+
|916 | web site, website, internet site, site|
|
| 1036 |
+
|917 | comic book|
|
| 1037 |
+
|918 | crossword puzzle, crossword|
|
| 1038 |
+
|919 | street sign|
|
| 1039 |
+
|920 | traffic light, traffic signal, stoplight|
|
| 1040 |
+
|921 | book jacket, dust cover, dust jacket, dust wrapper|
|
| 1041 |
+
|922 | menu|
|
| 1042 |
+
|923 | plate|
|
| 1043 |
+
|924 | guacamole|
|
| 1044 |
+
|925 | consomme|
|
| 1045 |
+
|926 | hot pot, hotpot|
|
| 1046 |
+
|927 | trifle|
|
| 1047 |
+
|928 | ice cream, icecream|
|
| 1048 |
+
|929 | ice lolly, lolly, lollipop, popsicle|
|
| 1049 |
+
|930 | French loaf|
|
| 1050 |
+
|931 | bagel, beigel|
|
| 1051 |
+
|932 | pretzel|
|
| 1052 |
+
|933 | cheeseburger|
|
| 1053 |
+
|934 | hotdog, hot dog, red hot|
|
| 1054 |
+
|935 | mashed potato|
|
| 1055 |
+
|936 | head cabbage|
|
| 1056 |
+
|937 | broccoli|
|
| 1057 |
+
|938 | cauliflower|
|
| 1058 |
+
|939 | zucchini, courgette|
|
| 1059 |
+
|940 | spaghetti squash|
|
| 1060 |
+
|941 | acorn squash|
|
| 1061 |
+
|942 | butternut squash|
|
| 1062 |
+
|943 | cucumber, cuke|
|
| 1063 |
+
|944 | artichoke, globe artichoke|
|
| 1064 |
+
|945 | bell pepper|
|
| 1065 |
+
|946 | cardoon|
|
| 1066 |
+
|947 | mushroom|
|
| 1067 |
+
|948 | Granny Smith|
|
| 1068 |
+
|949 | strawberry|
|
| 1069 |
+
|950 | orange|
|
| 1070 |
+
|951 | lemon|
|
| 1071 |
+
|952 | fig|
|
| 1072 |
+
|953 | pineapple, ananas|
|
| 1073 |
+
|954 | banana|
|
| 1074 |
+
|955 | jackfruit, jak, jack|
|
| 1075 |
+
|956 | custard apple|
|
| 1076 |
+
|957 | pomegranate|
|
| 1077 |
+
|958 | hay|
|
| 1078 |
+
|959 | carbonara|
|
| 1079 |
+
|960 | chocolate sauce, chocolate syrup|
|
| 1080 |
+
|961 | dough|
|
| 1081 |
+
|962 | meat loaf, meatloaf|
|
| 1082 |
+
|963 | pizza, pizza pie|
|
| 1083 |
+
|964 | potpie|
|
| 1084 |
+
|965 | burrito|
|
| 1085 |
+
|966 | red wine|
|
| 1086 |
+
|967 | espresso|
|
| 1087 |
+
|968 | cup|
|
| 1088 |
+
|969 | eggnog|
|
| 1089 |
+
|970 | alp|
|
| 1090 |
+
|971 | bubble|
|
| 1091 |
+
|972 | cliff, drop, drop-off|
|
| 1092 |
+
|973 | coral reef|
|
| 1093 |
+
|974 | geyser|
|
| 1094 |
+
|975 | lakeside, lakeshore|
|
| 1095 |
+
|976 | promontory, headland, head, foreland|
|
| 1096 |
+
|977 | sandbar, sand bar|
|
| 1097 |
+
|978 | seashore, coast, seacoast, sea-coast|
|
| 1098 |
+
|979 | valley, vale|
|
| 1099 |
+
|980 | volcano|
|
| 1100 |
+
|981 | ballplayer, baseball player|
|
| 1101 |
+
|982 | groom, bridegroom|
|
| 1102 |
+
|983 | scuba diver|
|
| 1103 |
+
|984 | rapeseed|
|
| 1104 |
+
|985 | daisy|
|
| 1105 |
+
|986 | yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum|
|
| 1106 |
+
|987 | corn|
|
| 1107 |
+
|988 | acorn|
|
| 1108 |
+
|989 | hip, rose hip, rosehip|
|
| 1109 |
+
|990 | buckeye, horse chestnut, conker|
|
| 1110 |
+
|991 | coral fungus|
|
| 1111 |
+
|992 | agaric|
|
| 1112 |
+
|993 | gyromitra|
|
| 1113 |
+
|994 | stinkhorn, carrion fungus|
|
| 1114 |
+
|995 | earthstar|
|
| 1115 |
+
|996 | hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa|
|
| 1116 |
+
|997 | bolete|
|
| 1117 |
+
|998 | ear, spike, capitulum|
|
| 1118 |
+
|999 | toilet tissue, toilet paper, bathroom tissue|
|
| 1119 |
+
</details>
|
| 1120 |
+
|
| 1121 |
+
### Data Splits
|
| 1122 |
+
|
| 1123 |
+
This dataset is a validation-only set.
|
| 1124 |
+
|
| 1125 |
+
## Dataset Creation
|
| 1126 |
+
|
| 1127 |
+
|
| 1128 |
+
### Source Data
|
| 1129 |
+
|
| 1130 |
+
This dataset is sourced from ImageNet, ImageNet-ReaL, ImageNet-V2, ImageNet-A, ImageNet-C, ImageNet-R, ImageNet-Sketch, and ObjectNet.
|
| 1131 |
+
|
| 1132 |
+
## Citation Information
|
| 1133 |
+
|
| 1134 |
+
```
|
| 1135 |
+
@article{taesiri2023zoom,
|
| 1136 |
+
title={Zoom is what you need: An empirical study of the power of zoom and spatial biases in image classification},
|
| 1137 |
+
author={Taesiri, Mohammad Reza and Nguyen, Giang and Habchi, Sarra and Bezemer, Cor-Paul and Nguyen, Anh},
|
| 1138 |
+
journal={arXiv preprint arXiv:2304.05538},
|
| 1139 |
+
year={2023}
|
| 1140 |
+
}
|
| 1141 |
+
```
|