CIFAR-100

E367299

benchmark dataset computer vision dataset image classification dataset

CIFAR-100 is a widely used image classification dataset consisting of 60,000 32×32 color images across 100 object categories, commonly used to benchmark machine learning models.

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All labels observed (3)

Label	Occurrences
CIFAR-100 canonical	1
CIFAR-100 dataset	1
CIFAR100	1

Statements (48)

Predicate	Object
instanceOf	benchmark dataset ⓘ computer vision dataset ⓘ image classification dataset ⓘ
accessMethod	download from official website ⓘ
commonlyUsedWith	CIFAR-10 ⓘ
developedAt	University of Toronto ⓘ
developedBy	Alex Krizhevsky ⓘ Geoffrey Hinton ⓘ
difficultyLevel	harder than CIFAR-10 ⓘ
domain	natural images ⓘ
evaluationMetric	classification accuracy ⓘ top-1 accuracy ⓘ top-5 accuracy ⓘ
fileFormat	binary batch files ⓘ
hasCanonicalURL	https://www.cs.toronto.edu/~kriz/cifar.html ⓘ
hasCoarseGrainedSuperclasses	20 ⓘ
hasColorChannels	3 ⓘ
hasColorSpace	RGB ⓘ
hasFineGrainedClasses	100 ⓘ
hasImageHeight	32 ⓘ
hasImageResolution	32x32 pixels ⓘ
hasImageWidth	32 ⓘ
hasInputType	32x32 RGB image tensor ⓘ
hasLabelStructure	coarse labels ⓘ fine labels ⓘ
hasNumberOfClasses	100 ⓘ
hasTestImages	10000 ⓘ
hasTotalImages	60000 ⓘ
hasTrainingImages	50000 ⓘ
includedIn	TensorFlow Datasets ⓘ torchvision (ecosystem) ⓘ surface form: TorchVision datasets common deep learning libraries ⓘ
introducedAs	subset of the Tiny Images dataset ⓘ
language	label names in English ⓘ
license	MIT-like license ⓘ
partOf	Canadian Institute for Advanced Research ⓘ surface form: Canadian Institute for Advanced Research (CIFAR)
taskType	multi-class classification ⓘ
timePeriod	late 2000s ⓘ
typicalSplit	100 test images per class ⓘ 500 training images per class ⓘ
usedFor	architecture comparison ⓘ benchmarking deep learning models ⓘ benchmarking machine learning models ⓘ data augmentation research ⓘ image recognition research ⓘ regularization method evaluation ⓘ representation learning ⓘ transfer learning evaluation ⓘ

Referenced by (3)

Full triples — surface form annotated when it differs from this entity's canonical label.

ResNet → benchmarkedOn → CIFAR-100 ⓘ

torchvision (ecosystem) → dataset → CIFAR-100 ⓘ

subject surface form: torchvision

this entity surface form: CIFAR100

ResNeXt → evaluatedOn → CIFAR-100 ⓘ

this entity surface form: CIFAR-100 dataset