CIFAR-10
E367298
CIFAR-10 is a widely used computer vision dataset of 60,000 labeled low-resolution images across 10 object classes, commonly employed to benchmark image classification algorithms.
All labels observed (3)
| Label | Occurrences |
|---|---|
| CIFAR-10 canonical | 3 |
| CIFAR-10 dataset | 3 |
| CIFAR10 | 1 |
Statements (52)
| Predicate | Object |
|---|---|
| instanceOf |
benchmark dataset
ⓘ
computer vision dataset ⓘ image classification dataset ⓘ |
| baselineModelType | convolutional neural network ⓘ |
| classType | mutually exclusive ⓘ |
| commonlyUsedWith | convolutional neural networks ⓘ |
| containsTestSet | true ⓘ |
| containsTrainingSet | true ⓘ |
| dataFormat |
Python pickled files
ⓘ
binary batch files ⓘ |
| developedAt | University of Toronto ⓘ |
| developedBy |
Alex Krizhevsky
ⓘ
Geoffrey Hinton ⓘ |
| difficultyLevel | moderate ⓘ |
| domain | natural images ⓘ |
| downloadURL | https://www.cs.toronto.edu/~kriz/cifar.html ⓘ |
| hasClass |
airplane
ⓘ
automobile ⓘ bird ⓘ cat ⓘ deer ⓘ dog ⓘ frog ⓘ horse ⓘ ship ⓘ truck ⓘ |
| hasColorChannels | 3 ⓘ |
| hasImageHeight | 32 ⓘ |
| hasImagesPerClass | 6000 ⓘ |
| hasImageWidth | 32 ⓘ |
| hasNumberOfClasses | 10 ⓘ |
| hasNumberOfImages | 60000 ⓘ |
| hasNumberOfTestImages | 10000 ⓘ |
| hasNumberOfTrainingImages | 50000 ⓘ |
| hasTestImagesPerClass | 1000 ⓘ |
| hasTrainingImagesPerClass | 5000 ⓘ |
| imageSource | tiny images dataset ⓘ |
| imageType | RGB ⓘ |
| introducedInYear | 2009 ⓘ |
| isBalanced | true ⓘ |
| isPubliclyAvailable | true ⓘ |
| labelType | single-label ⓘ |
| license | MIT-like license ⓘ |
| partOf |
CIFAR
ⓘ
surface form:
CIFAR datasets
|
| predecessor |
tiny images dataset
ⓘ
surface form:
Tiny Images dataset
|
| publishedBy | Canadian Institute for Advanced Research ⓘ |
| resolution | 32x32 pixels ⓘ |
| typicalSplit | 50000 training / 10000 test ⓘ |
| usedFor |
benchmarking deep learning models
ⓘ
benchmarking machine learning algorithms ⓘ image classification ⓘ supervised learning ⓘ |
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
torchvision
this entity surface form:
CIFAR10
this entity surface form:
CIFAR-10 dataset
this entity surface form:
CIFAR-10 dataset
this entity surface form:
CIFAR-10 dataset