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8
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class label
1k classes
756rain barrel
3tiger shark, Galeocerdo cuvieri
119rock crab, Cancer irroratus
719piggy bank, penny bank
429baseball
239Bernese mountain dog
676muzzle
66horned viper, cerastes, sand viper, horned asp, Cerastes cornutus
350ibex, Capra ibex
417balloon
242boxer
622lens cap, lens cover
756rain barrel
624library
630Loafer
9ostrich, Struthio camelus
510container ship, containership, container vessel
747punching bag, punch bag, punching ball, punchball
412ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin
747punching bag, punch bag, punching ball, punchball
772safety pin
433bathing cap, swimming cap
366gorilla, Gorilla gorilla
57garter snake, grass snake
315mantis, mantid
210German short-haired pointer
803snowplow, snowplough
76tarantula
685odometer, hodometer, mileometer, milometer
631lotion
423barber chair
141redshank, Tringa totanus
935mashed potato
445bikini, two-piece
704parking meter
247Saint Bernard, St Bernard
76tarantula
234Rottweiler
773saltshaker, salt shaker
936head cabbage
935mashed potato
920traffic light, traffic signal, stoplight
509confectionery, confectionary, candy store
181Bedlington terrier
723pinwheel
588hamper
632loudspeaker, speaker, speaker unit, loudspeaker system, speaker system
416balance beam, beam
636mailbag, postbag
283Persian cat
287lynx, catamount
142dowitcher
305dung beetle
511convertible
906Windsor tie
328sea urchin
867trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi
558flute, transverse flute
102echidna, spiny anteater, anteater
118Dungeness crab, Cancer magister
301ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle
974geyser
115sea slug, nudibranch
564four-poster
915yurt
162beagle
542drumstick
993gyromitra
646maze, labyrinth
297sloth bear, Melursus ursinus, Ursus ursinus
466bullet train, bullet
19chickadee
762restaurant, eating house, eating place, eatery
454bookshop, bookstore, bookstall
541drum, membranophone, tympan
574golf ball
927trifle
119rock crab, Cancer irroratus
150sea lion
219cocker spaniel, English cocker spaniel, cocker
691oxygen mask
694paddlewheel, paddle wheel
467butcher shop, meat market
902whistle
90lorikeet
595harvester, reaper
805soccer ball
546electric guitar
841sweatshirt
99goose
391coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch
444bicycle-built-for-two, tandem bicycle, tandem
929ice lolly, lolly, lollipop, popsicle
161basset, basset hound
600hook, claw
487cellular telephone, cellular phone, cellphone, cell, mobile phone
98red-breasted merganser, Mergus serrator
482cassette player
620laptop, laptop computer
243bull mastiff
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Downsampled ImageNet Dataset

The downsampled ImageNet dataset with 8x8. 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-8