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16
16
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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
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Downsampled ImageNet Dataset

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.

Citation

@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}, 
}
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Paper for ChocolateDave/imagenet-16