A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
Paper • 1707.08819 • Published
image imagewidth (px) 16 16 | label class label 1k
classes |
|---|---|
49African crocodile, Nile crocodile, Crocodylus niloticus | |
735poncho | |
747punching bag, punch bag, punching ball, punchball | |
939zucchini, courgette | |
43frilled lizard, Chlamydosaurus kingi | |
85quail | |
737pop bottle, soda bottle | |
100black swan, Cygnus atratus | |
446binder, ring-binder | |
416balance beam, beam | |
457bow tie, bow-tie, bowtie | |
241EntleBucher | |
33loggerhead, loggerhead turtle, Caretta caretta | |
779school bus | |
110flatworm, platyhelminth | |
875trombone | |
558flute, transverse flute | |
155Shih-Tzu | |
901whiskey jug | |
112conch | |
100black swan, Cygnus atratus | |
3tiger shark, Galeocerdo cuvieri | |
850teddy, teddy bear | |
229Old English sheepdog, bobtail | |
385Indian elephant, Elephas maximus | |
509confectionery, confectionary, candy store | |
794shower curtain | |
571gas pump, gasoline pump, petrol pump, island dispenser | |
380titi, titi monkey | |
318lacewing, lacewing fly | |
744projectile, missile | |
462broom | |
16bulbul | |
302ground beetle, carabid beetle | |
265toy poodle | |
196miniature schnauzer | |
502clog, geta, patten, sabot | |
85quail | |
666mortar | |
157papillon | |
326lycaenid, lycaenid butterfly | |
76tarantula | |
299meerkat, mierkat | |
603horse cart, horse-cart | |
877turnstile | |
445bikini, two-piece | |
19chickadee | |
617lab coat, laboratory coat | |
333hamster | |
932pretzel | |
955jackfruit, jak, jack | |
633loupe, jeweler's loupe | |
661Model T | |
822steel drum | |
588hamper | |
283Persian cat | |
176Saluki, gazelle hound | |
18magpie | |
229Old English sheepdog, bobtail | |
828strainer | |
693paddle, boat paddle | |
951lemon | |
807solar dish, solar collector, solar furnace | |
196miniature schnauzer | |
530digital clock | |
378capuchin, ringtail, Cebus capucinus | |
947mushroom | |
735poncho | |
662modem | |
626lighter, light, igniter, ignitor | |
553file, file cabinet, filing cabinet | |
489chainlink fence | |
251dalmatian, coach dog, carriage dog | |
841sweatshirt | |
120fiddler crab | |
857throne | |
202soft-coated wheaten terrier | |
241EntleBucher | |
965burrito | |
198standard schnauzer | |
300tiger beetle | |
688oscilloscope, scope, cathode-ray oscilloscope, CRO | |
438beaker | |
280grey fox, gray fox, Urocyon cinereoargenteus | |
431bassinet | |
220Sussex spaniel | |
772safety pin | |
483castle | |
21kite | |
231collie | |
499cleaver, meat cleaver, chopper | |
352impala, Aepyceros melampus | |
86partridge | |
372baboon | |
823stethoscope | |
984rapeseed | |
431bassinet | |
702parallel bars, bars | |
504coffee mug | |
255Leonberg |
The downsampled ImageNet dataset with 16x16. Original implementation can be found at https://patrykchrabaszcz.github.io/Imagenet32/.
The dataset contain exactly the same number of images as the original ImageNet, i.e.,
1,281,167 training images from 1,000 classes and 50,000 validation images with 50 images per class.
@inproceedings{deng2009imagenet,
title={Imagenet: A large-scale hierarchical image database},
author={Deng, Jia and Dong, Wei and Socher, Richard and Li, Li-Jia and Li, Kai and Fei-Fei, Li},
booktitle={2009 IEEE conference on computer vision and pattern recognition},
pages={248--255},
year={2009},
organization={IEEE}
}
@misc{chrabaszcz2017downsampledvariantimagenetalternative,
title={A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets},
author={Patryk Chrabaszcz and Ilya Loshchilov and Frank Hutter},
year={2017},
eprint={1707.08819},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/1707.08819},
}