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README.md
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---
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dataset_info:
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features:
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- name: image
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dtype: image
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- name: label
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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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license: mit
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task_categories:
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- image-classification
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language:
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- en
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tags:
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- OOD
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- ImageNet
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- Out Of Distribution
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pretty_name: ImageNet-Hard-4K
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size_categories:
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- 10K<n<100K
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---
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# Dataset Card for "
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[Project Page](https://taesiri.github.io/ZoomIsAllYouNeed/) - [Paper](https://arxiv.org/abs/2304.05538) - [Github](https://github.com/taesiri/ZoomIsAllYouNeed)
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## Dataset Summary
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**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.
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## Upscaling Procedure
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We employed [GigaGAN](https://mingukkang.github.io/GigaGAN/) to upscale each image from the original ImageNet-Hard dataset to a resolution of 4K.
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### Dataset Distribution
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### Classifiers Performance
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| Model | Accuracy |
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| ------------------- | -------- |
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| AlexNet | 7.08 |
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| VGG-16 | 11.32 |
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| ResNet-18 | 10.42 |
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| ResNet-50 | 13.93 |
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| ViT-B/32 | 18.12 |
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| EfficientNet-B0 | 12.94 |
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| EfficientNet-B7 | 18.67 |
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| EfficientNet-L2-Ns | 28.42 |
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| CLIP-ViT-L/14@224px | 1.81 |
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| CLIP-ViT-L/14@336px | 1.88 |
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| OpenCLIP-ViT-bigG-14| 14.33 |
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| OpenCLIP-ViT-L-14 | 13.04 |
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**Evaluation Code**
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* 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>
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* 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>
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## Supported Tasks
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- `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).
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## Languages
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The `english_label` field in the dataset are in English.
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## Dataset Structure
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Data Instances
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An example looks like this:
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```python
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{
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'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=575x409 at 0x7F09456B53A0>,
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'label': [0],
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'origin': 'imagenet_sketch',
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'english_label': ['tench']
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}
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```
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### Data Fields
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The data instances have the following fields:
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- 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].
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- label: A List[int] collection containing the ground-truth ids.
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- origin: A string containing source dataset.
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- english_label: A List[str] collection containg the english labels for the ground-truth classes.
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<details>
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<summary>
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Click here to see the full list of ImageNet class labels mapping:
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</summary>
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|id|Class|
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|--|-----|
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|0 | tench, Tinca tinca|
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|1 | goldfish, Carassius auratus|
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|2 | great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias|
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| 118 |
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|3 | tiger shark, Galeocerdo cuvieri|
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| 119 |
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|4 | hammerhead, hammerhead shark|
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| 120 |
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|5 | electric ray, crampfish, numbfish, torpedo|
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| 121 |
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|6 | stingray|
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| 122 |
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|7 | cock|
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| 123 |
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|8 | hen|
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| 124 |
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|9 | ostrich, Struthio camelus|
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| 125 |
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|10 | brambling, Fringilla montifringilla|
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| 126 |
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|11 | goldfinch, Carduelis carduelis|
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| 127 |
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|12 | house finch, linnet, Carpodacus mexicanus|
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| 128 |
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|13 | junco, snowbird|
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| 129 |
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|14 | indigo bunting, indigo finch, indigo bird, Passerina cyanea|
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| 130 |
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|15 | robin, American robin, Turdus migratorius|
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|16 | bulbul|
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|17 | jay|
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|18 | magpie|
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|19 | chickadee|
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| 135 |
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|20 | water ouzel, dipper|
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| 136 |
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|21 | kite|
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| 137 |
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|22 | bald eagle, American eagle, Haliaeetus leucocephalus|
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| 138 |
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|23 | vulture|
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| 139 |
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|24 | great grey owl, great gray owl, Strix nebulosa|
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| 140 |
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|25 | European fire salamander, Salamandra salamandra|
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| 141 |
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|26 | common newt, Triturus vulgaris|
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| 142 |
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|27 | eft|
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| 143 |
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|28 | spotted salamander, Ambystoma maculatum|
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| 144 |
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|29 | axolotl, mud puppy, Ambystoma mexicanum|
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| 145 |
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|30 | bullfrog, Rana catesbeiana|
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| 146 |
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|31 | tree frog, tree-frog|
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| 147 |
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|32 | tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui|
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| 148 |
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|33 | loggerhead, loggerhead turtle, Caretta caretta|
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| 149 |
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|34 | leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea|
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| 150 |
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|35 | mud turtle|
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| 151 |
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|36 | terrapin|
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| 152 |
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|37 | box turtle, box tortoise|
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| 153 |
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|38 | banded gecko|
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| 154 |
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|39 | common iguana, iguana, Iguana iguana|
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| 155 |
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|40 | American chameleon, anole, Anolis carolinensis|
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| 156 |
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|41 | whiptail, whiptail lizard|
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| 157 |
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|42 | agama|
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| 158 |
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|43 | frilled lizard, Chlamydosaurus kingi|
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| 159 |
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|44 | alligator lizard|
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|45 | Gila monster, Heloderma suspectum|
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| 161 |
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|46 | green lizard, Lacerta viridis|
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| 162 |
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|47 | African chameleon, Chamaeleo chamaeleon|
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| 163 |
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|48 | Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis|
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| 164 |
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|49 | African crocodile, Nile crocodile, Crocodylus niloticus|
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| 165 |
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|50 | American alligator, Alligator mississipiensis|
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| 166 |
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|51 | triceratops|
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| 167 |
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|52 | thunder snake, worm snake, Carphophis amoenus|
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| 168 |
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|53 | ringneck snake, ring-necked snake, ring snake|
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| 169 |
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|54 | hognose snake, puff adder, sand viper|
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| 170 |
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|55 | green snake, grass snake|
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| 171 |
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|56 | king snake, kingsnake|
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| 172 |
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|57 | garter snake, grass snake|
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| 173 |
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|58 | water snake|
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| 174 |
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|59 | vine snake|
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| 175 |
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|60 | night snake, Hypsiglena torquata|
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| 176 |
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|61 | boa constrictor, Constrictor constrictor|
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| 177 |
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|62 | rock python, rock snake, Python sebae|
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| 178 |
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|63 | Indian cobra, Naja naja|
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|64 | green mamba|
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|65 | sea snake|
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| 181 |
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|66 | horned viper, cerastes, sand viper, horned asp, Cerastes cornutus|
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| 182 |
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|67 | diamondback, diamondback rattlesnake, Crotalus adamanteus|
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| 183 |
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|68 | sidewinder, horned rattlesnake, Crotalus cerastes|
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| 184 |
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|69 | trilobite|
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| 185 |
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|70 | harvestman, daddy longlegs, Phalangium opilio|
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| 186 |
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|71 | scorpion|
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| 187 |
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|72 | black and gold garden spider, Argiope aurantia|
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| 188 |
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|73 | barn spider, Araneus cavaticus|
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| 189 |
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|74 | garden spider, Aranea diademata|
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| 190 |
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|75 | black widow, Latrodectus mactans|
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| 191 |
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|76 | tarantula|
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| 192 |
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|77 | wolf spider, hunting spider|
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|78 | tick|
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| 194 |
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|79 | centipede|
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| 195 |
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|80 | black grouse|
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| 196 |
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|81 | ptarmigan|
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| 197 |
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|82 | ruffed grouse, partridge, Bonasa umbellus|
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| 198 |
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|83 | prairie chicken, prairie grouse, prairie fowl|
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| 199 |
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|84 | peacock|
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|85 | quail|
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|86 | partridge|
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|87 | African grey, African gray, Psittacus erithacus|
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|88 | macaw|
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| 204 |
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|89 | sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita|
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| 205 |
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|90 | lorikeet|
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| 206 |
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|91 | coucal|
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|92 | bee eater|
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|93 | hornbill|
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|94 | hummingbird|
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|95 | jacamar|
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|96 | toucan|
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|97 | drake|
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|98 | red-breasted merganser, Mergus serrator|
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|99 | goose|
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|100 | black swan, Cygnus atratus|
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|101 | tusker|
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|102 | echidna, spiny anteater, anteater|
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| 218 |
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|103 | platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus|
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|104 | wallaby, brush kangaroo|
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| 220 |
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|105 | koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus|
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|106 | wombat|
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|107 | jellyfish|
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|108 | sea anemone, anemone|
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|109 | brain coral|
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|110 | flatworm, platyhelminth|
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|111 | nematode, nematode worm, roundworm|
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|112 | conch|
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|113 | snail|
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|114 | slug|
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|115 | sea slug, nudibranch|
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| 231 |
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|116 | chiton, coat-of-mail shell, sea cradle, polyplacophore|
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| 232 |
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|117 | chambered nautilus, pearly nautilus, nautilus|
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| 233 |
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|118 | Dungeness crab, Cancer magister|
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| 234 |
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|119 | rock crab, Cancer irroratus|
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|120 | fiddler crab|
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| 236 |
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|121 | king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica|
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| 237 |
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|122 | American lobster, Northern lobster, Maine lobster, Homarus americanus|
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| 238 |
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|123 | spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish|
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| 239 |
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|124 | crayfish, crawfish, crawdad, crawdaddy|
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| 240 |
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|125 | hermit crab|
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| 241 |
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|126 | isopod|
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| 242 |
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|127 | white stork, Ciconia ciconia|
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| 243 |
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|128 | black stork, Ciconia nigra|
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| 244 |
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|129 | spoonbill|
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|130 | flamingo|
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| 246 |
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|131 | little blue heron, Egretta caerulea|
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| 247 |
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|132 | American egret, great white heron, Egretta albus|
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| 248 |
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|133 | bittern|
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| 249 |
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|134 | crane|
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| 250 |
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|135 | limpkin, Aramus pictus|
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| 251 |
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|136 | European gallinule, Porphyrio porphyrio|
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| 252 |
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|137 | American coot, marsh hen, mud hen, water hen, Fulica americana|
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| 253 |
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|138 | bustard|
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| 254 |
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|139 | ruddy turnstone, Arenaria interpres|
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| 255 |
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|140 | red-backed sandpiper, dunlin, Erolia alpina|
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| 256 |
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|141 | redshank, Tringa totanus|
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| 257 |
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|142 | dowitcher|
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| 258 |
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|143 | oystercatcher, oyster catcher|
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| 259 |
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|144 | pelican|
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| 260 |
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|145 | king penguin, Aptenodytes patagonica|
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| 261 |
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|146 | albatross, mollymawk|
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| 262 |
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|147 | grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus|
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| 263 |
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|148 | killer whale, killer, orca, grampus, sea wolf, Orcinus orca|
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| 264 |
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|149 | dugong, Dugong dugon|
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| 265 |
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|150 | sea lion|
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| 266 |
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|151 | Chihuahua|
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| 267 |
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|152 | Japanese spaniel|
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| 268 |
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|153 | Maltese dog, Maltese terrier, Maltese|
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| 269 |
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|154 | Pekinese, Pekingese, Peke|
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| 270 |
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|155 | Shih-Tzu|
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| 271 |
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|156 | Blenheim spaniel|
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| 272 |
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|157 | papillon|
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| 273 |
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|158 | toy terrier|
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| 274 |
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|159 | Rhodesian ridgeback|
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| 275 |
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|160 | Afghan hound, Afghan|
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| 276 |
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|161 | basset, basset hound|
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| 277 |
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|162 | beagle|
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| 278 |
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|163 | bloodhound, sleuthhound|
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| 279 |
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|164 | bluetick|
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| 280 |
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|165 | black-and-tan coonhound|
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| 281 |
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|166 | Walker hound, Walker foxhound|
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| 282 |
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|167 | English foxhound|
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| 283 |
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|168 | redbone|
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| 284 |
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|169 | borzoi, Russian wolfhound|
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| 285 |
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|170 | Irish wolfhound|
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| 286 |
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|171 | Italian greyhound|
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| 287 |
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|172 | whippet|
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| 288 |
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|173 | Ibizan hound, Ibizan Podenco|
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| 289 |
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|174 | Norwegian elkhound, elkhound|
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| 290 |
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|175 | otterhound, otter hound|
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| 291 |
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|176 | Saluki, gazelle hound|
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| 292 |
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|177 | Scottish deerhound, deerhound|
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| 293 |
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|178 | Weimaraner|
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| 294 |
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|179 | Staffordshire bullterrier, Staffordshire bull terrier|
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| 295 |
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|180 | American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier|
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| 296 |
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|181 | Bedlington terrier|
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| 297 |
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|182 | Border terrier|
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| 298 |
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|183 | Kerry blue terrier|
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| 299 |
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|184 | Irish terrier|
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| 300 |
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|185 | Norfolk terrier|
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| 301 |
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|186 | Norwich terrier|
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| 302 |
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|187 | Yorkshire terrier|
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| 303 |
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|188 | wire-haired fox terrier|
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| 304 |
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|189 | Lakeland terrier|
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| 305 |
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|190 | Sealyham terrier, Sealyham|
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| 306 |
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|191 | Airedale, Airedale terrier|
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| 307 |
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|192 | cairn, cairn terrier|
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| 308 |
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|193 | Australian terrier|
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| 309 |
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|194 | Dandie Dinmont, Dandie Dinmont terrier|
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| 310 |
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|195 | Boston bull, Boston terrier|
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| 311 |
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|196 | miniature schnauzer|
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| 312 |
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|197 | giant schnauzer|
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| 313 |
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|198 | standard schnauzer|
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| 314 |
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|199 | Scotch terrier, Scottish terrier, Scottie|
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| 315 |
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|200 | Tibetan terrier, chrysanthemum dog|
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| 316 |
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|201 | silky terrier, Sydney silky|
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| 317 |
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|202 | soft-coated wheaten terrier|
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| 318 |
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|203 | West Highland white terrier|
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| 319 |
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|204 | Lhasa, Lhasa apso|
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| 320 |
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|205 | flat-coated retriever|
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| 321 |
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|206 | curly-coated retriever|
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| 322 |
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|207 | golden retriever|
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| 323 |
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|208 | Labrador retriever|
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| 324 |
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|209 | Chesapeake Bay retriever|
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| 325 |
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|210 | German short-haired pointer|
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| 326 |
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|211 | vizsla, Hungarian pointer|
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| 327 |
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|212 | English setter|
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| 328 |
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|213 | Irish setter, red setter|
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| 329 |
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|214 | Gordon setter|
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| 330 |
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|215 | Brittany spaniel|
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| 331 |
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|216 | clumber, clumber spaniel|
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| 332 |
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|217 | English springer, English springer spaniel|
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| 333 |
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|218 | Welsh springer spaniel|
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| 334 |
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|219 | cocker spaniel, English cocker spaniel, cocker|
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| 335 |
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|220 | Sussex spaniel|
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| 336 |
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|221 | Irish water spaniel|
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| 337 |
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|222 | kuvasz|
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| 338 |
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|223 | schipperke|
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| 339 |
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|224 | groenendael|
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| 340 |
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|225 | malinois|
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| 341 |
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|226 | briard|
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| 342 |
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|227 | kelpie|
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| 343 |
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|228 | komondor|
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| 344 |
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|229 | Old English sheepdog, bobtail|
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| 345 |
-
|230 | Shetland sheepdog, Shetland sheep dog, Shetland|
|
| 346 |
-
|231 | collie|
|
| 347 |
-
|232 | Border collie|
|
| 348 |
-
|233 | Bouvier des Flandres, Bouviers des Flandres|
|
| 349 |
-
|234 | Rottweiler|
|
| 350 |
-
|235 | German shepherd, German shepherd dog, German police dog, alsatian|
|
| 351 |
-
|236 | Doberman, Doberman pinscher|
|
| 352 |
-
|237 | miniature pinscher|
|
| 353 |
-
|238 | Greater Swiss Mountain dog|
|
| 354 |
-
|239 | Bernese mountain dog|
|
| 355 |
-
|240 | Appenzeller|
|
| 356 |
-
|241 | EntleBucher|
|
| 357 |
-
|242 | boxer|
|
| 358 |
-
|243 | bull mastiff|
|
| 359 |
-
|244 | Tibetan mastiff|
|
| 360 |
-
|245 | French bulldog|
|
| 361 |
-
|246 | Great Dane|
|
| 362 |
-
|247 | Saint Bernard, St Bernard|
|
| 363 |
-
|248 | Eskimo dog, husky|
|
| 364 |
-
|249 | malamute, malemute, Alaskan malamute|
|
| 365 |
-
|250 | Siberian husky|
|
| 366 |
-
|251 | dalmatian, coach dog, carriage dog|
|
| 367 |
-
|252 | affenpinscher, monkey pinscher, monkey dog|
|
| 368 |
-
|253 | basenji|
|
| 369 |
-
|254 | pug, pug-dog|
|
| 370 |
-
|255 | Leonberg|
|
| 371 |
-
|256 | Newfoundland, Newfoundland dog|
|
| 372 |
-
|257 | Great Pyrenees|
|
| 373 |
-
|258 | Samoyed, Samoyede|
|
| 374 |
-
|259 | Pomeranian|
|
| 375 |
-
|260 | chow, chow chow|
|
| 376 |
-
|261 | keeshond|
|
| 377 |
-
|262 | Brabancon griffon|
|
| 378 |
-
|263 | Pembroke, Pembroke Welsh corgi|
|
| 379 |
-
|264 | Cardigan, Cardigan Welsh corgi|
|
| 380 |
-
|265 | toy poodle|
|
| 381 |
-
|266 | miniature poodle|
|
| 382 |
-
|267 | standard poodle|
|
| 383 |
-
|268 | Mexican hairless|
|
| 384 |
-
|269 | timber wolf, grey wolf, gray wolf, Canis lupus|
|
| 385 |
-
|270 | white wolf, Arctic wolf, Canis lupus tundrarum|
|
| 386 |
-
|271 | red wolf, maned wolf, Canis rufus, Canis niger|
|
| 387 |
-
|272 | coyote, prairie wolf, brush wolf, Canis latrans|
|
| 388 |
-
|273 | dingo, warrigal, warragal, Canis dingo|
|
| 389 |
-
|274 | dhole, Cuon alpinus|
|
| 390 |
-
|275 | African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus|
|
| 391 |
-
|276 | hyena, hyaena|
|
| 392 |
-
|277 | red fox, Vulpes vulpes|
|
| 393 |
-
|278 | kit fox, Vulpes macrotis|
|
| 394 |
-
|279 | Arctic fox, white fox, Alopex lagopus|
|
| 395 |
-
|280 | grey fox, gray fox, Urocyon cinereoargenteus|
|
| 396 |
-
|281 | tabby, tabby cat|
|
| 397 |
-
|282 | tiger cat|
|
| 398 |
-
|283 | Persian cat|
|
| 399 |
-
|284 | Siamese cat, Siamese|
|
| 400 |
-
|285 | Egyptian cat|
|
| 401 |
-
|286 | cougar, puma, catamount, mountain lion, painter, panther, Felis concolor|
|
| 402 |
-
|287 | lynx, catamount|
|
| 403 |
-
|288 | leopard, Panthera pardus|
|
| 404 |
-
|289 | snow leopard, ounce, Panthera uncia|
|
| 405 |
-
|290 | jaguar, panther, Panthera onca, Felis onca|
|
| 406 |
-
|291 | lion, king of beasts, Panthera leo|
|
| 407 |
-
|292 | tiger, Panthera tigris|
|
| 408 |
-
|293 | cheetah, chetah, Acinonyx jubatus|
|
| 409 |
-
|294 | brown bear, bruin, Ursus arctos|
|
| 410 |
-
|295 | American black bear, black bear, Ursus americanus, Euarctos americanus|
|
| 411 |
-
|296 | ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus|
|
| 412 |
-
|297 | sloth bear, Melursus ursinus, Ursus ursinus|
|
| 413 |
-
|298 | mongoose|
|
| 414 |
-
|299 | meerkat, mierkat|
|
| 415 |
-
|300 | tiger beetle|
|
| 416 |
-
|301 | ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle|
|
| 417 |
-
|302 | ground beetle, carabid beetle|
|
| 418 |
-
|303 | long-horned beetle, longicorn, longicorn beetle|
|
| 419 |
-
|304 | leaf beetle, chrysomelid|
|
| 420 |
-
|305 | dung beetle|
|
| 421 |
-
|306 | rhinoceros beetle|
|
| 422 |
-
|307 | weevil|
|
| 423 |
-
|308 | fly|
|
| 424 |
-
|309 | bee|
|
| 425 |
-
|310 | ant, emmet, pismire|
|
| 426 |
-
|311 | grasshopper, hopper|
|
| 427 |
-
|312 | cricket|
|
| 428 |
-
|313 | walking stick, walkingstick, stick insect|
|
| 429 |
-
|314 | cockroach, roach|
|
| 430 |
-
|315 | mantis, mantid|
|
| 431 |
-
|316 | cicada, cicala|
|
| 432 |
-
|317 | leafhopper|
|
| 433 |
-
|318 | lacewing, lacewing fly|
|
| 434 |
-
|319 | dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk|
|
| 435 |
-
|320 | damselfly|
|
| 436 |
-
|321 | admiral|
|
| 437 |
-
|322 | ringlet, ringlet butterfly|
|
| 438 |
-
|323 | monarch, monarch butterfly, milkweed butterfly, Danaus plexippus|
|
| 439 |
-
|324 | cabbage butterfly|
|
| 440 |
-
|325 | sulphur butterfly, sulfur butterfly|
|
| 441 |
-
|326 | lycaenid, lycaenid butterfly|
|
| 442 |
-
|327 | starfish, sea star|
|
| 443 |
-
|328 | sea urchin|
|
| 444 |
-
|329 | sea cucumber, holothurian|
|
| 445 |
-
|330 | wood rabbit, cottontail, cottontail rabbit|
|
| 446 |
-
|331 | hare|
|
| 447 |
-
|332 | Angora, Angora rabbit|
|
| 448 |
-
|333 | hamster|
|
| 449 |
-
|334 | porcupine, hedgehog|
|
| 450 |
-
|335 | fox squirrel, eastern fox squirrel, Sciurus niger|
|
| 451 |
-
|336 | marmot|
|
| 452 |
-
|337 | beaver|
|
| 453 |
-
|338 | guinea pig, Cavia cobaya|
|
| 454 |
-
|339 | sorrel|
|
| 455 |
-
|340 | zebra|
|
| 456 |
-
|341 | hog, pig, grunter, squealer, Sus scrofa|
|
| 457 |
-
|342 | wild boar, boar, Sus scrofa|
|
| 458 |
-
|343 | warthog|
|
| 459 |
-
|344 | hippopotamus, hippo, river horse, Hippopotamus amphibius|
|
| 460 |
-
|345 | ox|
|
| 461 |
-
|346 | water buffalo, water ox, Asiatic buffalo, Bubalus bubalis|
|
| 462 |
-
|347 | bison|
|
| 463 |
-
|348 | ram, tup|
|
| 464 |
-
|349 | bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis|
|
| 465 |
-
|350 | ibex, Capra ibex|
|
| 466 |
-
|351 | hartebeest|
|
| 467 |
-
|352 | impala, Aepyceros melampus|
|
| 468 |
-
|353 | gazelle|
|
| 469 |
-
|354 | Arabian camel, dromedary, Camelus dromedarius|
|
| 470 |
-
|355 | llama|
|
| 471 |
-
|356 | weasel|
|
| 472 |
-
|357 | mink|
|
| 473 |
-
|358 | polecat, fitch, foulmart, foumart, Mustela putorius|
|
| 474 |
-
|359 | black-footed ferret, ferret, Mustela nigripes|
|
| 475 |
-
|360 | otter|
|
| 476 |
-
|361 | skunk, polecat, wood pussy|
|
| 477 |
-
|362 | badger|
|
| 478 |
-
|363 | armadillo|
|
| 479 |
-
|364 | three-toed sloth, ai, Bradypus tridactylus|
|
| 480 |
-
|365 | orangutan, orang, orangutang, Pongo pygmaeus|
|
| 481 |
-
|366 | gorilla, Gorilla gorilla|
|
| 482 |
-
|367 | chimpanzee, chimp, Pan troglodytes|
|
| 483 |
-
|368 | gibbon, Hylobates lar|
|
| 484 |
-
|369 | siamang, Hylobates syndactylus, Symphalangus syndactylus|
|
| 485 |
-
|370 | guenon, guenon monkey|
|
| 486 |
-
|371 | patas, hussar monkey, Erythrocebus patas|
|
| 487 |
-
|372 | baboon|
|
| 488 |
-
|373 | macaque|
|
| 489 |
-
|374 | langur|
|
| 490 |
-
|375 | colobus, colobus monkey|
|
| 491 |
-
|376 | proboscis monkey, Nasalis larvatus|
|
| 492 |
-
|377 | marmoset|
|
| 493 |
-
|378 | capuchin, ringtail, Cebus capucinus|
|
| 494 |
-
|379 | howler monkey, howler|
|
| 495 |
-
|380 | titi, titi monkey|
|
| 496 |
-
|381 | spider monkey, Ateles geoffroyi|
|
| 497 |
-
|382 | squirrel monkey, Saimiri sciureus|
|
| 498 |
-
|383 | Madagascar cat, ring-tailed lemur, Lemur catta|
|
| 499 |
-
|384 | indri, indris, Indri indri, Indri brevicaudatus|
|
| 500 |
-
|385 | Indian elephant, Elephas maximus|
|
| 501 |
-
|386 | African elephant, Loxodonta africana|
|
| 502 |
-
|387 | lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens|
|
| 503 |
-
|388 | giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca|
|
| 504 |
-
|389 | barracouta, snoek|
|
| 505 |
-
|390 | eel|
|
| 506 |
-
|391 | coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch|
|
| 507 |
-
|392 | rock beauty, Holocanthus tricolor|
|
| 508 |
-
|393 | anemone fish|
|
| 509 |
-
|394 | sturgeon|
|
| 510 |
-
|395 | gar, garfish, garpike, billfish, Lepisosteus osseus|
|
| 511 |
-
|396 | lionfish|
|
| 512 |
-
|397 | puffer, pufferfish, blowfish, globefish|
|
| 513 |
-
|398 | abacus|
|
| 514 |
-
|399 | abaya|
|
| 515 |
-
|400 | academic gown, academic robe, judge's robe|
|
| 516 |
-
|401 | accordion, piano accordion, squeeze box|
|
| 517 |
-
|402 | acoustic guitar|
|
| 518 |
-
|403 | aircraft carrier, carrier, flattop, attack aircraft carrier|
|
| 519 |
-
|404 | airliner|
|
| 520 |
-
|405 | airship, dirigible|
|
| 521 |
-
|406 | altar|
|
| 522 |
-
|407 | ambulance|
|
| 523 |
-
|408 | amphibian, amphibious vehicle|
|
| 524 |
-
|409 | analog clock|
|
| 525 |
-
|410 | apiary, bee house|
|
| 526 |
-
|411 | apron|
|
| 527 |
-
|412 | ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin|
|
| 528 |
-
|413 | assault rifle, assault gun|
|
| 529 |
-
|414 | backpack, back pack, knapsack, packsack, rucksack, haversack|
|
| 530 |
-
|415 | bakery, bakeshop, bakehouse|
|
| 531 |
-
|416 | balance beam, beam|
|
| 532 |
-
|417 | balloon|
|
| 533 |
-
|418 | ballpoint, ballpoint pen, ballpen, Biro|
|
| 534 |
-
|419 | Band Aid|
|
| 535 |
-
|420 | banjo|
|
| 536 |
-
|421 | bannister, banister, balustrade, balusters, handrail|
|
| 537 |
-
|422 | barbell|
|
| 538 |
-
|423 | barber chair|
|
| 539 |
-
|424 | barbershop|
|
| 540 |
-
|425 | barn|
|
| 541 |
-
|426 | barometer|
|
| 542 |
-
|427 | barrel, cask|
|
| 543 |
-
|428 | barrow, garden cart, lawn cart, wheelbarrow|
|
| 544 |
-
|429 | baseball|
|
| 545 |
-
|430 | basketball|
|
| 546 |
-
|431 | bassinet|
|
| 547 |
-
|432 | bassoon|
|
| 548 |
-
|433 | bathing cap, swimming cap|
|
| 549 |
-
|434 | bath towel|
|
| 550 |
-
|435 | bathtub, bathing tub, bath, tub|
|
| 551 |
-
|436 | beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon|
|
| 552 |
-
|437 | beacon, lighthouse, beacon light, pharos|
|
| 553 |
-
|438 | beaker|
|
| 554 |
-
|439 | bearskin, busby, shako|
|
| 555 |
-
|440 | beer bottle|
|
| 556 |
-
|441 | beer glass|
|
| 557 |
-
|442 | bell cote, bell cot|
|
| 558 |
-
|443 | bib|
|
| 559 |
-
|444 | bicycle-built-for-two, tandem bicycle, tandem|
|
| 560 |
-
|445 | bikini, two-piece|
|
| 561 |
-
|446 | binder, ring-binder|
|
| 562 |
-
|447 | binoculars, field glasses, opera glasses|
|
| 563 |
-
|448 | birdhouse|
|
| 564 |
-
|449 | boathouse|
|
| 565 |
-
|450 | bobsled, bobsleigh, bob|
|
| 566 |
-
|451 | bolo tie, bolo, bola tie, bola|
|
| 567 |
-
|452 | bonnet, poke bonnet|
|
| 568 |
-
|453 | bookcase|
|
| 569 |
-
|454 | bookshop, bookstore, bookstall|
|
| 570 |
-
|455 | bottlecap|
|
| 571 |
-
|456 | bow|
|
| 572 |
-
|457 | bow tie, bow-tie, bowtie|
|
| 573 |
-
|458 | brass, memorial tablet, plaque|
|
| 574 |
-
|459 | brassiere, bra, bandeau|
|
| 575 |
-
|460 | breakwater, groin, groyne, mole, bulwark, seawall, jetty|
|
| 576 |
-
|461 | breastplate, aegis, egis|
|
| 577 |
-
|462 | broom|
|
| 578 |
-
|463 | bucket, pail|
|
| 579 |
-
|464 | buckle|
|
| 580 |
-
|465 | bulletproof vest|
|
| 581 |
-
|466 | bullet train, bullet|
|
| 582 |
-
|467 | butcher shop, meat market|
|
| 583 |
-
|468 | cab, hack, taxi, taxicab|
|
| 584 |
-
|469 | caldron, cauldron|
|
| 585 |
-
|470 | candle, taper, wax light|
|
| 586 |
-
|471 | cannon|
|
| 587 |
-
|472 | canoe|
|
| 588 |
-
|473 | can opener, tin opener|
|
| 589 |
-
|474 | cardigan|
|
| 590 |
-
|475 | car mirror|
|
| 591 |
-
|476 | carousel, carrousel, merry-go-round, roundabout, whirligig|
|
| 592 |
-
|477 | carpenter's kit, tool kit|
|
| 593 |
-
|478 | carton|
|
| 594 |
-
|479 | car wheel|
|
| 595 |
-
|480 | cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM|
|
| 596 |
-
|481 | cassette|
|
| 597 |
-
|482 | cassette player|
|
| 598 |
-
|483 | castle|
|
| 599 |
-
|484 | catamaran|
|
| 600 |
-
|485 | CD player|
|
| 601 |
-
|486 | cello, violoncello|
|
| 602 |
-
|487 | cellular telephone, cellular phone, cellphone, cell, mobile phone|
|
| 603 |
-
|488 | chain|
|
| 604 |
-
|489 | chainlink fence|
|
| 605 |
-
|490 | chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour|
|
| 606 |
-
|491 | chain saw, chainsaw|
|
| 607 |
-
|492 | chest|
|
| 608 |
-
|493 | chiffonier, commode|
|
| 609 |
-
|494 | chime, bell, gong|
|
| 610 |
-
|495 | china cabinet, china closet|
|
| 611 |
-
|496 | Christmas stocking|
|
| 612 |
-
|497 | church, church building|
|
| 613 |
-
|498 | cinema, movie theater, movie theatre, movie house, picture palace|
|
| 614 |
-
|499 | cleaver, meat cleaver, chopper|
|
| 615 |
-
|500 | cliff dwelling|
|
| 616 |
-
|501 | cloak|
|
| 617 |
-
|502 | clog, geta, patten, sabot|
|
| 618 |
-
|503 | cocktail shaker|
|
| 619 |
-
|504 | coffee mug|
|
| 620 |
-
|505 | coffeepot|
|
| 621 |
-
|506 | coil, spiral, volute, whorl, helix|
|
| 622 |
-
|507 | combination lock|
|
| 623 |
-
|508 | computer keyboard, keypad|
|
| 624 |
-
|509 | confectionery, confectionary, candy store|
|
| 625 |
-
|510 | container ship, containership, container vessel|
|
| 626 |
-
|511 | convertible|
|
| 627 |
-
|512 | corkscrew, bottle screw|
|
| 628 |
-
|513 | cornet, horn, trumpet, trump|
|
| 629 |
-
|514 | cowboy boot|
|
| 630 |
-
|515 | cowboy hat, ten-gallon hat|
|
| 631 |
-
|516 | cradle|
|
| 632 |
-
|517 | crane_1|
|
| 633 |
-
|518 | crash helmet|
|
| 634 |
-
|519 | crate|
|
| 635 |
-
|520 | crib, cot|
|
| 636 |
-
|521 | Crock Pot|
|
| 637 |
-
|522 | croquet ball|
|
| 638 |
-
|523 | crutch|
|
| 639 |
-
|524 | cuirass|
|
| 640 |
-
|525 | dam, dike, dyke|
|
| 641 |
-
|526 | desk|
|
| 642 |
-
|527 | desktop computer|
|
| 643 |
-
|528 | dial telephone, dial phone|
|
| 644 |
-
|529 | diaper, nappy, napkin|
|
| 645 |
-
|530 | digital clock|
|
| 646 |
-
|531 | digital watch|
|
| 647 |
-
|532 | dining table, board|
|
| 648 |
-
|533 | dishrag, dishcloth|
|
| 649 |
-
|534 | dishwasher, dish washer, dishwashing machine|
|
| 650 |
-
|535 | disk brake, disc brake|
|
| 651 |
-
|536 | dock, dockage, docking facility|
|
| 652 |
-
|537 | dogsled, dog sled, dog sleigh|
|
| 653 |
-
|538 | dome|
|
| 654 |
-
|539 | doormat, welcome mat|
|
| 655 |
-
|540 | drilling platform, offshore rig|
|
| 656 |
-
|541 | drum, membranophone, tympan|
|
| 657 |
-
|542 | drumstick|
|
| 658 |
-
|543 | dumbbell|
|
| 659 |
-
|544 | Dutch oven|
|
| 660 |
-
|545 | electric fan, blower|
|
| 661 |
-
|546 | electric guitar|
|
| 662 |
-
|547 | electric locomotive|
|
| 663 |
-
|548 | entertainment center|
|
| 664 |
-
|549 | envelope|
|
| 665 |
-
|550 | espresso maker|
|
| 666 |
-
|551 | face powder|
|
| 667 |
-
|552 | feather boa, boa|
|
| 668 |
-
|553 | file, file cabinet, filing cabinet|
|
| 669 |
-
|554 | fireboat|
|
| 670 |
-
|555 | fire engine, fire truck|
|
| 671 |
-
|556 | fire screen, fireguard|
|
| 672 |
-
|557 | flagpole, flagstaff|
|
| 673 |
-
|558 | flute, transverse flute|
|
| 674 |
-
|559 | folding chair|
|
| 675 |
-
|560 | football helmet|
|
| 676 |
-
|561 | forklift|
|
| 677 |
-
|562 | fountain|
|
| 678 |
-
|563 | fountain pen|
|
| 679 |
-
|564 | four-poster|
|
| 680 |
-
|565 | freight car|
|
| 681 |
-
|566 | French horn, horn|
|
| 682 |
-
|567 | frying pan, frypan, skillet|
|
| 683 |
-
|568 | fur coat|
|
| 684 |
-
|569 | garbage truck, dustcart|
|
| 685 |
-
|570 | gasmask, respirator, gas helmet|
|
| 686 |
-
|571 | gas pump, gasoline pump, petrol pump, island dispenser|
|
| 687 |
-
|572 | goblet|
|
| 688 |
-
|573 | go-kart|
|
| 689 |
-
|574 | golf ball|
|
| 690 |
-
|575 | golfcart, golf cart|
|
| 691 |
-
|576 | gondola|
|
| 692 |
-
|577 | gong, tam-tam|
|
| 693 |
-
|578 | gown|
|
| 694 |
-
|579 | grand piano, grand|
|
| 695 |
-
|580 | greenhouse, nursery, glasshouse|
|
| 696 |
-
|581 | grille, radiator grille|
|
| 697 |
-
|582 | grocery store, grocery, food market, market|
|
| 698 |
-
|583 | guillotine|
|
| 699 |
-
|584 | hair slide|
|
| 700 |
-
|585 | hair spray|
|
| 701 |
-
|586 | half track|
|
| 702 |
-
|587 | hammer|
|
| 703 |
-
|588 | hamper|
|
| 704 |
-
|589 | hand blower, blow dryer, blow drier, hair dryer, hair drier|
|
| 705 |
-
|590 | hand-held computer, hand-held microcomputer|
|
| 706 |
-
|591 | handkerchief, hankie, hanky, hankey|
|
| 707 |
-
|592 | hard disc, hard disk, fixed disk|
|
| 708 |
-
|593 | harmonica, mouth organ, harp, mouth harp|
|
| 709 |
-
|594 | harp|
|
| 710 |
-
|595 | harvester, reaper|
|
| 711 |
-
|596 | hatchet|
|
| 712 |
-
|597 | holster|
|
| 713 |
-
|598 | home theater, home theatre|
|
| 714 |
-
|599 | honeycomb|
|
| 715 |
-
|600 | hook, claw|
|
| 716 |
-
|601 | hoopskirt, crinoline|
|
| 717 |
-
|602 | horizontal bar, high bar|
|
| 718 |
-
|603 | horse cart, horse-cart|
|
| 719 |
-
|604 | hourglass|
|
| 720 |
-
|605 | iPod|
|
| 721 |
-
|606 | iron, smoothing iron|
|
| 722 |
-
|607 | jack-o'-lantern|
|
| 723 |
-
|608 | jean, blue jean, denim|
|
| 724 |
-
|609 | jeep, landrover|
|
| 725 |
-
|610 | jersey, T-shirt, tee shirt|
|
| 726 |
-
|611 | jigsaw puzzle|
|
| 727 |
-
|612 | jinrikisha, ricksha, rickshaw|
|
| 728 |
-
|613 | joystick|
|
| 729 |
-
|614 | kimono|
|
| 730 |
-
|615 | knee pad|
|
| 731 |
-
|616 | knot|
|
| 732 |
-
|617 | lab coat, laboratory coat|
|
| 733 |
-
|618 | ladle|
|
| 734 |
-
|619 | lampshade, lamp shade|
|
| 735 |
-
|620 | laptop, laptop computer|
|
| 736 |
-
|621 | lawn mower, mower|
|
| 737 |
-
|622 | lens cap, lens cover|
|
| 738 |
-
|623 | letter opener, paper knife, paperknife|
|
| 739 |
-
|624 | library|
|
| 740 |
-
|625 | lifeboat|
|
| 741 |
-
|626 | lighter, light, igniter, ignitor|
|
| 742 |
-
|627 | limousine, limo|
|
| 743 |
-
|628 | liner, ocean liner|
|
| 744 |
-
|629 | lipstick, lip rouge|
|
| 745 |
-
|630 | Loafer|
|
| 746 |
-
|631 | lotion|
|
| 747 |
-
|632 | loudspeaker, speaker, speaker unit, loudspeaker system, speaker system|
|
| 748 |
-
|633 | loupe, jeweler's loupe|
|
| 749 |
-
|634 | lumbermill, sawmill|
|
| 750 |
-
|635 | magnetic compass|
|
| 751 |
-
|636 | mailbag, postbag|
|
| 752 |
-
|637 | mailbox, letter box|
|
| 753 |
-
|638 | maillot|
|
| 754 |
-
|639 | maillot, tank suit|
|
| 755 |
-
|640 | manhole cover|
|
| 756 |
-
|641 | maraca|
|
| 757 |
-
|642 | marimba, xylophone|
|
| 758 |
-
|643 | mask|
|
| 759 |
-
|644 | matchstick|
|
| 760 |
-
|645 | maypole|
|
| 761 |
-
|646 | maze, labyrinth|
|
| 762 |
-
|647 | measuring cup|
|
| 763 |
-
|648 | medicine chest, medicine cabinet|
|
| 764 |
-
|649 | megalith, megalithic structure|
|
| 765 |
-
|650 | microphone, mike|
|
| 766 |
-
|651 | microwave, microwave oven|
|
| 767 |
-
|652 | military uniform|
|
| 768 |
-
|653 | milk can|
|
| 769 |
-
|654 | minibus|
|
| 770 |
-
|655 | miniskirt, mini|
|
| 771 |
-
|656 | minivan|
|
| 772 |
-
|657 | missile|
|
| 773 |
-
|658 | mitten|
|
| 774 |
-
|659 | mixing bowl|
|
| 775 |
-
|660 | mobile home, manufactured home|
|
| 776 |
-
|661 | Model T|
|
| 777 |
-
|662 | modem|
|
| 778 |
-
|663 | monastery|
|
| 779 |
-
|664 | monitor|
|
| 780 |
-
|665 | moped|
|
| 781 |
-
|666 | mortar|
|
| 782 |
-
|667 | mortarboard|
|
| 783 |
-
|668 | mosque|
|
| 784 |
-
|669 | mosquito net|
|
| 785 |
-
|670 | motor scooter, scooter|
|
| 786 |
-
|671 | mountain bike, all-terrain bike, off-roader|
|
| 787 |
-
|672 | mountain tent|
|
| 788 |
-
|673 | mouse, computer mouse|
|
| 789 |
-
|674 | mousetrap|
|
| 790 |
-
|675 | moving van|
|
| 791 |
-
|676 | muzzle|
|
| 792 |
-
|677 | nail|
|
| 793 |
-
|678 | neck brace|
|
| 794 |
-
|679 | necklace|
|
| 795 |
-
|680 | nipple|
|
| 796 |
-
|681 | notebook, notebook computer|
|
| 797 |
-
|682 | obelisk|
|
| 798 |
-
|683 | oboe, hautboy, hautbois|
|
| 799 |
-
|684 | ocarina, sweet potato|
|
| 800 |
-
|685 | odometer, hodometer, mileometer, milometer|
|
| 801 |
-
|686 | oil filter|
|
| 802 |
-
|687 | organ, pipe organ|
|
| 803 |
-
|688 | oscilloscope, scope, cathode-ray oscilloscope, CRO|
|
| 804 |
-
|689 | overskirt|
|
| 805 |
-
|690 | oxcart|
|
| 806 |
-
|691 | oxygen mask|
|
| 807 |
-
|692 | packet|
|
| 808 |
-
|693 | paddle, boat paddle|
|
| 809 |
-
|694 | paddlewheel, paddle wheel|
|
| 810 |
-
|695 | padlock|
|
| 811 |
-
|696 | paintbrush|
|
| 812 |
-
|697 | pajama, pyjama, pj's, jammies|
|
| 813 |
-
|698 | palace|
|
| 814 |
-
|699 | panpipe, pandean pipe, syrinx|
|
| 815 |
-
|700 | paper towel|
|
| 816 |
-
|701 | parachute, chute|
|
| 817 |
-
|702 | parallel bars, bars|
|
| 818 |
-
|703 | park bench|
|
| 819 |
-
|704 | parking meter|
|
| 820 |
-
|705 | passenger car, coach, carriage|
|
| 821 |
-
|706 | patio, terrace|
|
| 822 |
-
|707 | pay-phone, pay-station|
|
| 823 |
-
|708 | pedestal, plinth, footstall|
|
| 824 |
-
|709 | pencil box, pencil case|
|
| 825 |
-
|710 | pencil sharpener|
|
| 826 |
-
|711 | perfume, essence|
|
| 827 |
-
|712 | Petri dish|
|
| 828 |
-
|713 | photocopier|
|
| 829 |
-
|714 | pick, plectrum, plectron|
|
| 830 |
-
|715 | pickelhaube|
|
| 831 |
-
|716 | picket fence, paling|
|
| 832 |
-
|717 | pickup, pickup truck|
|
| 833 |
-
|718 | pier|
|
| 834 |
-
|719 | piggy bank, penny bank|
|
| 835 |
-
|720 | pill bottle|
|
| 836 |
-
|721 | pillow|
|
| 837 |
-
|722 | ping-pong ball|
|
| 838 |
-
|723 | pinwheel|
|
| 839 |
-
|724 | pirate, pirate ship|
|
| 840 |
-
|725 | pitcher, ewer|
|
| 841 |
-
|726 | plane, carpenter's plane, woodworking plane|
|
| 842 |
-
|727 | planetarium|
|
| 843 |
-
|728 | plastic bag|
|
| 844 |
-
|729 | plate rack|
|
| 845 |
-
|730 | plow, plough|
|
| 846 |
-
|731 | plunger, plumber's helper|
|
| 847 |
-
|732 | Polaroid camera, Polaroid Land camera|
|
| 848 |
-
|733 | pole|
|
| 849 |
-
|734 | police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria|
|
| 850 |
-
|735 | poncho|
|
| 851 |
-
|736 | pool table, billiard table, snooker table|
|
| 852 |
-
|737 | pop bottle, soda bottle|
|
| 853 |
-
|738 | pot, flowerpot|
|
| 854 |
-
|739 | potter's wheel|
|
| 855 |
-
|740 | power drill|
|
| 856 |
-
|741 | prayer rug, prayer mat|
|
| 857 |
-
|742 | printer|
|
| 858 |
-
|743 | prison, prison house|
|
| 859 |
-
|744 | projectile, missile|
|
| 860 |
-
|745 | projector|
|
| 861 |
-
|746 | puck, hockey puck|
|
| 862 |
-
|747 | punching bag, punch bag, punching ball, punchball|
|
| 863 |
-
|748 | purse|
|
| 864 |
-
|749 | quill, quill pen|
|
| 865 |
-
|750 | quilt, comforter, comfort, puff|
|
| 866 |
-
|751 | racer, race car, racing car|
|
| 867 |
-
|752 | racket, racquet|
|
| 868 |
-
|753 | radiator|
|
| 869 |
-
|754 | radio, wireless|
|
| 870 |
-
|755 | radio telescope, radio reflector|
|
| 871 |
-
|756 | rain barrel|
|
| 872 |
-
|757 | recreational vehicle, RV, R.V.|
|
| 873 |
-
|758 | reel|
|
| 874 |
-
|759 | reflex camera|
|
| 875 |
-
|760 | refrigerator, icebox|
|
| 876 |
-
|761 | remote control, remote|
|
| 877 |
-
|762 | restaurant, eating house, eating place, eatery|
|
| 878 |
-
|763 | revolver, six-gun, six-shooter|
|
| 879 |
-
|764 | rifle|
|
| 880 |
-
|765 | rocking chair, rocker|
|
| 881 |
-
|766 | rotisserie|
|
| 882 |
-
|767 | rubber eraser, rubber, pencil eraser|
|
| 883 |
-
|768 | rugby ball|
|
| 884 |
-
|769 | rule, ruler|
|
| 885 |
-
|770 | running shoe|
|
| 886 |
-
|771 | safe|
|
| 887 |
-
|772 | safety pin|
|
| 888 |
-
|773 | saltshaker, salt shaker|
|
| 889 |
-
|774 | sandal|
|
| 890 |
-
|775 | sarong|
|
| 891 |
-
|776 | sax, saxophone|
|
| 892 |
-
|777 | scabbard|
|
| 893 |
-
|778 | scale, weighing machine|
|
| 894 |
-
|779 | school bus|
|
| 895 |
-
|780 | schooner|
|
| 896 |
-
|781 | scoreboard|
|
| 897 |
-
|782 | screen, CRT screen|
|
| 898 |
-
|783 | screw|
|
| 899 |
-
|784 | screwdriver|
|
| 900 |
-
|785 | seat belt, seatbelt|
|
| 901 |
-
|786 | sewing machine|
|
| 902 |
-
|787 | shield, buckler|
|
| 903 |
-
|788 | shoe shop, shoe-shop, shoe store|
|
| 904 |
-
|789 | shoji|
|
| 905 |
-
|790 | shopping basket|
|
| 906 |
-
|791 | shopping cart|
|
| 907 |
-
|792 | shovel|
|
| 908 |
-
|793 | shower cap|
|
| 909 |
-
|794 | shower curtain|
|
| 910 |
-
|795 | ski|
|
| 911 |
-
|796 | ski mask|
|
| 912 |
-
|797 | sleeping bag|
|
| 913 |
-
|798 | slide rule, slipstick|
|
| 914 |
-
|799 | sliding door|
|
| 915 |
-
|800 | slot, one-armed bandit|
|
| 916 |
-
|801 | snorkel|
|
| 917 |
-
|802 | snowmobile|
|
| 918 |
-
|803 | snowplow, snowplough|
|
| 919 |
-
|804 | soap dispenser|
|
| 920 |
-
|805 | soccer ball|
|
| 921 |
-
|806 | sock|
|
| 922 |
-
|807 | solar dish, solar collector, solar furnace|
|
| 923 |
-
|808 | sombrero|
|
| 924 |
-
|809 | soup bowl|
|
| 925 |
-
|810 | space bar|
|
| 926 |
-
|811 | space heater|
|
| 927 |
-
|812 | space shuttle|
|
| 928 |
-
|813 | spatula|
|
| 929 |
-
|814 | speedboat|
|
| 930 |
-
|815 | spider web, spider's web|
|
| 931 |
-
|816 | spindle|
|
| 932 |
-
|817 | sports car, sport car|
|
| 933 |
-
|818 | spotlight, spot|
|
| 934 |
-
|819 | stage|
|
| 935 |
-
|820 | steam locomotive|
|
| 936 |
-
|821 | steel arch bridge|
|
| 937 |
-
|822 | steel drum|
|
| 938 |
-
|823 | stethoscope|
|
| 939 |
-
|824 | stole|
|
| 940 |
-
|825 | stone wall|
|
| 941 |
-
|826 | stopwatch, stop watch|
|
| 942 |
-
|827 | stove|
|
| 943 |
-
|828 | strainer|
|
| 944 |
-
|829 | streetcar, tram, tramcar, trolley, trolley car|
|
| 945 |
-
|830 | stretcher|
|
| 946 |
-
|831 | studio couch, day bed|
|
| 947 |
-
|832 | stupa, tope|
|
| 948 |
-
|833 | submarine, pigboat, sub, U-boat|
|
| 949 |
-
|834 | suit, suit of clothes|
|
| 950 |
-
|835 | sundial|
|
| 951 |
-
|836 | sunglass|
|
| 952 |
-
|837 | sunglasses, dark glasses, shades|
|
| 953 |
-
|838 | sunscreen, sunblock, sun blocker|
|
| 954 |
-
|839 | suspension bridge|
|
| 955 |
-
|840 | swab, swob, mop|
|
| 956 |
-
|841 | sweatshirt|
|
| 957 |
-
|842 | swimming trunks, bathing trunks|
|
| 958 |
-
|843 | swing|
|
| 959 |
-
|844 | switch, electric switch, electrical switch|
|
| 960 |
-
|845 | syringe|
|
| 961 |
-
|846 | table lamp|
|
| 962 |
-
|847 | tank, army tank, armored combat vehicle, armoured combat vehicle|
|
| 963 |
-
|848 | tape player|
|
| 964 |
-
|849 | teapot|
|
| 965 |
-
|850 | teddy, teddy bear|
|
| 966 |
-
|851 | television, television system|
|
| 967 |
-
|852 | tennis ball|
|
| 968 |
-
|853 | thatch, thatched roof|
|
| 969 |
-
|854 | theater curtain, theatre curtain|
|
| 970 |
-
|855 | thimble|
|
| 971 |
-
|856 | thresher, thrasher, threshing machine|
|
| 972 |
-
|857 | throne|
|
| 973 |
-
|858 | tile roof|
|
| 974 |
-
|859 | toaster|
|
| 975 |
-
|860 | tobacco shop, tobacconist shop, tobacconist|
|
| 976 |
-
|861 | toilet seat|
|
| 977 |
-
|862 | torch|
|
| 978 |
-
|863 | totem pole|
|
| 979 |
-
|864 | tow truck, tow car, wrecker|
|
| 980 |
-
|865 | toyshop|
|
| 981 |
-
|866 | tractor|
|
| 982 |
-
|867 | trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi|
|
| 983 |
-
|868 | tray|
|
| 984 |
-
|869 | trench coat|
|
| 985 |
-
|870 | tricycle, trike, velocipede|
|
| 986 |
-
|871 | trimaran|
|
| 987 |
-
|872 | tripod|
|
| 988 |
-
|873 | triumphal arch|
|
| 989 |
-
|874 | trolleybus, trolley coach, trackless trolley|
|
| 990 |
-
|875 | trombone|
|
| 991 |
-
|876 | tub, vat|
|
| 992 |
-
|877 | turnstile|
|
| 993 |
-
|878 | typewriter keyboard|
|
| 994 |
-
|879 | umbrella|
|
| 995 |
-
|880 | unicycle, monocycle|
|
| 996 |
-
|881 | upright, upright piano|
|
| 997 |
-
|882 | vacuum, vacuum cleaner|
|
| 998 |
-
|883 | vase|
|
| 999 |
-
|884 | vault|
|
| 1000 |
-
|885 | velvet|
|
| 1001 |
-
|886 | vending machine|
|
| 1002 |
-
|887 | vestment|
|
| 1003 |
-
|888 | viaduct|
|
| 1004 |
-
|889 | violin, fiddle|
|
| 1005 |
-
|890 | volleyball|
|
| 1006 |
-
|891 | waffle iron|
|
| 1007 |
-
|892 | wall clock|
|
| 1008 |
-
|893 | wallet, billfold, notecase, pocketbook|
|
| 1009 |
-
|894 | wardrobe, closet, press|
|
| 1010 |
-
|895 | warplane, military plane|
|
| 1011 |
-
|896 | washbasin, handbasin, washbowl, lavabo, wash-hand basin|
|
| 1012 |
-
|897 | washer, automatic washer, washing machine|
|
| 1013 |
-
|898 | water bottle|
|
| 1014 |
-
|899 | water jug|
|
| 1015 |
-
|900 | water tower|
|
| 1016 |
-
|901 | whiskey jug|
|
| 1017 |
-
|902 | whistle|
|
| 1018 |
-
|903 | wig|
|
| 1019 |
-
|904 | window screen|
|
| 1020 |
-
|905 | window shade|
|
| 1021 |
-
|906 | Windsor tie|
|
| 1022 |
-
|907 | wine bottle|
|
| 1023 |
-
|908 | wing|
|
| 1024 |
-
|909 | wok|
|
| 1025 |
-
|910 | wooden spoon|
|
| 1026 |
-
|911 | wool, woolen, woollen|
|
| 1027 |
-
|912 | worm fence, snake fence, snake-rail fence, Virginia fence|
|
| 1028 |
-
|913 | wreck|
|
| 1029 |
-
|914 | yawl|
|
| 1030 |
-
|915 | yurt|
|
| 1031 |
-
|916 | web site, website, internet site, site|
|
| 1032 |
-
|917 | comic book|
|
| 1033 |
-
|918 | crossword puzzle, crossword|
|
| 1034 |
-
|919 | street sign|
|
| 1035 |
-
|920 | traffic light, traffic signal, stoplight|
|
| 1036 |
-
|921 | book jacket, dust cover, dust jacket, dust wrapper|
|
| 1037 |
-
|922 | menu|
|
| 1038 |
-
|923 | plate|
|
| 1039 |
-
|924 | guacamole|
|
| 1040 |
-
|925 | consomme|
|
| 1041 |
-
|926 | hot pot, hotpot|
|
| 1042 |
-
|927 | trifle|
|
| 1043 |
-
|928 | ice cream, icecream|
|
| 1044 |
-
|929 | ice lolly, lolly, lollipop, popsicle|
|
| 1045 |
-
|930 | French loaf|
|
| 1046 |
-
|931 | bagel, beigel|
|
| 1047 |
-
|932 | pretzel|
|
| 1048 |
-
|933 | cheeseburger|
|
| 1049 |
-
|934 | hotdog, hot dog, red hot|
|
| 1050 |
-
|935 | mashed potato|
|
| 1051 |
-
|936 | head cabbage|
|
| 1052 |
-
|937 | broccoli|
|
| 1053 |
-
|938 | cauliflower|
|
| 1054 |
-
|939 | zucchini, courgette|
|
| 1055 |
-
|940 | spaghetti squash|
|
| 1056 |
-
|941 | acorn squash|
|
| 1057 |
-
|942 | butternut squash|
|
| 1058 |
-
|943 | cucumber, cuke|
|
| 1059 |
-
|944 | artichoke, globe artichoke|
|
| 1060 |
-
|945 | bell pepper|
|
| 1061 |
-
|946 | cardoon|
|
| 1062 |
-
|947 | mushroom|
|
| 1063 |
-
|948 | Granny Smith|
|
| 1064 |
-
|949 | strawberry|
|
| 1065 |
-
|950 | orange|
|
| 1066 |
-
|951 | lemon|
|
| 1067 |
-
|952 | fig|
|
| 1068 |
-
|953 | pineapple, ananas|
|
| 1069 |
-
|954 | banana|
|
| 1070 |
-
|955 | jackfruit, jak, jack|
|
| 1071 |
-
|956 | custard apple|
|
| 1072 |
-
|957 | pomegranate|
|
| 1073 |
-
|958 | hay|
|
| 1074 |
-
|959 | carbonara|
|
| 1075 |
-
|960 | chocolate sauce, chocolate syrup|
|
| 1076 |
-
|961 | dough|
|
| 1077 |
-
|962 | meat loaf, meatloaf|
|
| 1078 |
-
|963 | pizza, pizza pie|
|
| 1079 |
-
|964 | potpie|
|
| 1080 |
-
|965 | burrito|
|
| 1081 |
-
|966 | red wine|
|
| 1082 |
-
|967 | espresso|
|
| 1083 |
-
|968 | cup|
|
| 1084 |
-
|969 | eggnog|
|
| 1085 |
-
|970 | alp|
|
| 1086 |
-
|971 | bubble|
|
| 1087 |
-
|972 | cliff, drop, drop-off|
|
| 1088 |
-
|973 | coral reef|
|
| 1089 |
-
|974 | geyser|
|
| 1090 |
-
|975 | lakeside, lakeshore|
|
| 1091 |
-
|976 | promontory, headland, head, foreland|
|
| 1092 |
-
|977 | sandbar, sand bar|
|
| 1093 |
-
|978 | seashore, coast, seacoast, sea-coast|
|
| 1094 |
-
|979 | valley, vale|
|
| 1095 |
-
|980 | volcano|
|
| 1096 |
-
|981 | ballplayer, baseball player|
|
| 1097 |
-
|982 | groom, bridegroom|
|
| 1098 |
-
|983 | scuba diver|
|
| 1099 |
-
|984 | rapeseed|
|
| 1100 |
-
|985 | daisy|
|
| 1101 |
-
|986 | yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum|
|
| 1102 |
-
|987 | corn|
|
| 1103 |
-
|988 | acorn|
|
| 1104 |
-
|989 | hip, rose hip, rosehip|
|
| 1105 |
-
|990 | buckeye, horse chestnut, conker|
|
| 1106 |
-
|991 | coral fungus|
|
| 1107 |
-
|992 | agaric|
|
| 1108 |
-
|993 | gyromitra|
|
| 1109 |
-
|994 | stinkhorn, carrion fungus|
|
| 1110 |
-
|995 | earthstar|
|
| 1111 |
-
|996 | hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa|
|
| 1112 |
-
|997 | bolete|
|
| 1113 |
-
|998 | ear, spike, capitulum|
|
| 1114 |
-
|999 | toilet tissue, toilet paper, bathroom tissue|
|
| 1115 |
-
</details>
|
| 1116 |
-
|
| 1117 |
-
### Data Splits
|
| 1118 |
-
|
| 1119 |
-
This dataset is a validation-only set.
|
| 1120 |
-
|
| 1121 |
-
## Dataset Creation
|
| 1122 |
-
|
| 1123 |
-
|
| 1124 |
-
### Source Data
|
| 1125 |
-
|
| 1126 |
-
This dataset is sourced from ImageNet, ImageNet-ReaL, ImageNet-V2, ImageNet-A, ImageNet-C, ImageNet-R, ImageNet-Sketch, and ObjectNet.
|
| 1127 |
-
|
| 1128 |
-
## Citation Information
|
| 1129 |
-
|
| 1130 |
-
```
|
| 1131 |
-
@article{taesiri2023zoom,
|
| 1132 |
-
title={Zoom is what you need: An empirical study of the power of zoom and spatial biases in image classification},
|
| 1133 |
-
author={Taesiri, Mohammad Reza and Nguyen, Giang and Habchi, Sarra and Bezemer, Cor-Paul and Nguyen, Anh},
|
| 1134 |
-
journal={arXiv preprint arXiv:2304.05538},
|
| 1135 |
-
year={2023}
|
| 1136 |
-
}
|
| 1137 |
-
```
|
|
|
|
| 1 |
---
|
| 2 |
dataset_info:
|
| 3 |
features:
|
| 4 |
+
- name: id
|
| 5 |
+
dtype: int64
|
| 6 |
- name: image
|
| 7 |
dtype: image
|
| 8 |
- name: label
|
|
|
|
| 17 |
num_examples: 10980
|
| 18 |
download_size: 66129324319
|
| 19 |
dataset_size: 70959420455.86
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|
| 20 |
---
|
| 21 |
+
# Dataset Card for "imagenet-hard-4K"
|
| 22 |
|
| 23 |
+
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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