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CIFAR-10 Dataset
- paperswithcode.com
- opendatalab.com
- +4more
Updated Jun 14, 2009
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EmailClick to copy linkLink copiedCiteKrizhevsky (2009). CIFAR-10 Dataset [Dataset]. https://paperswithcode.com/dataset/cifar-10Dataset updatedJun 14, 2009AuthorsKrizhevskyDescriptionThe CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. The dataset is divided into five training batches and one test batch, each with 10000 images. The test batch contains exactly 1000 randomly-selected images from each class. The training batches contain the remaining images in random order, but some training batches may contain more images from one class than another. Between them, the training batches contain exactly 5000 images from each class.
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dataset_copied
- huggingface.co
Updated Jun 25, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCitewenyongxu (2023). dataset_copied [Dataset]. https://huggingface.co/datasets/wyxu/dataset_copiedCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedJun 25, 2023AuthorswenyongxuDescriptionThe CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.
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FacebookTwitterEmailCIFAR-10 Dataset
Canadian Institute for Advanced Research, 10 classes
The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. The dataset is divided into five training batches and one test batch, each with 10000 images. The test batch contains exactly 1000 randomly-selected images from each class. The training batches contain the remaining images in random order, but some training batches may contain more images from one class than another. Between them, the training batches contain exactly 5000 images from each class.