cifar10

• Description:

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.

• Homepage: https://www.cs.toronto.edu/~kriz/cifar.html
• Source code: tfds.image.cifar.Cifar10
• Versions:
  • 3.0.0 (default): New split API (https://tensorflow.org/datasets/splits)
  • 1.0.2: No release notes.
• Download size: 162.17 MiB
• Dataset size: Unknown size
• Auto-cached (documentation): No
• Splits:

Split	Examples
'test'	10,000
'train'	50,000

• Features:

FeaturesDict({
    'image': Image(shape=(32, 32, 3), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=10),
})

• Supervised keys (See as_supervised doc): ('image', 'label')
• Citation:

@TECHREPORT{Krizhevsky09learningmultiple,
    author = {Alex Krizhevsky},
    title = {Learning multiple layers of features from tiny images},
    institution = {},
    year = {2009}
}