A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
Paper
• 1707.08819 • Published
image imagewidth (px) 64 64 | label class label 1k classes |
|---|---|
571gas pump, gasoline pump, petrol pump, island dispenser | |
957pomegranate | |
784screwdriver | |
152Japanese spaniel | |
850teddy, teddy bear | |
254pug, pug-dog | |
588hamper | |
231collie | |
530digital clock | |
408amphibian, amphibious vehicle | |
82ruffed grouse, partridge, Bonasa umbellus | |
664monitor | |
564four-poster | |
919street sign | |
6stingray | |
693paddle, boat paddle | |
334porcupine, hedgehog | |
85quail | |
580greenhouse, nursery, glasshouse | |
823stethoscope | |
265toy poodle | |
347bison | |
264Cardigan, Cardigan Welsh corgi | |
692packet | |
583guillotine | |
905window shade | |
698palace | |
496Christmas stocking | |
832stupa, tope | |
710pencil sharpener | |
67diamondback, diamondback rattlesnake, Crotalus adamanteus | |
858tile roof | |
735poncho | |
873triumphal arch | |
459brassiere, bra, bandeau | |
11goldfinch, Carduelis carduelis | |
656minivan | |
635magnetic compass | |
646maze, labyrinth | |
193Australian terrier | |
184Irish terrier | |
800slot, one-armed bandit | |
300tiger beetle | |
825stone wall | |
80black grouse | |
867trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi | |
703park bench | |
390eel | |
166Walker hound, Walker foxhound | |
906Windsor tie | |
55green snake, grass snake | |
126isopod | |
673mouse, computer mouse | |
414backpack, back pack, knapsack, packsack, rucksack, haversack | |
285Egyptian cat | |
241EntleBucher | |
278kit fox, Vulpes macrotis | |
57garter snake, grass snake | |
427barrel, cask | |
172whippet | |
873triumphal arch | |
600hook, claw | |
862torch | |
111nematode, nematode worm, roundworm | |
385Indian elephant, Elephas maximus | |
985daisy | |
147grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus | |
779school bus | |
923plate | |
810space bar | |
896washbasin, handbasin, washbowl, lavabo, wash-hand basin | |
120fiddler crab | |
325sulphur butterfly, sulfur butterfly | |
676muzzle | |
258Samoyed, Samoyede | |
247Saint Bernard, St Bernard | |
122American lobster, Northern lobster, Maine lobster, Homarus americanus | |
18magpie | |
560football helmet | |
257Great Pyrenees | |
7cock | |
523crutch | |
205flat-coated retriever | |
285Egyptian cat | |
41whiptail, whiptail lizard | |
55green snake, grass snake | |
704parking meter | |
850teddy, teddy bear | |
533dishrag, dishcloth | |
625lifeboat | |
934hotdog, hot dog, red hot | |
490chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour | |
286cougar, puma, catamount, mountain lion, painter, panther, Felis concolor | |
974geyser | |
721pillow | |
38banded gecko | |
635magnetic compass | |
997bolete | |
743prison, prison house | |
600hook, claw |
The downsampled ImageNet dataset with 64x64. 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},
}