cifar10.tgz135.11MB
Type: Dataset
Tags: fastai

Bibtex:
@article{,
title= {CIFAR10},
author= {Krizhevsky, 2009},
abstract= {60000 32x32 colour images in 10 classes, with 6000 images per class (50000 training images and 10000 test images). Very widely used today for testing performance of new algorithms. This fast.ai datasets version uses a standard PNG format instead of the platform-specific binary formats of the original, so you can use the regular data pipelines in most libraries},
keywords= {fastai},
terms= {},
license= {},
superseded= {},
url= {}
}

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