cifar10

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.

• URL: https://www.cs.toronto.edu/~kriz/cifar.html
• DatasetBuilder: tfds.image.cifar.Cifar10
• Version: v1.0.2

• Versions:

  • 1.0.2 (default):
  • 3.0.0: New split API (https://tensorflow.org/datasets/splits)

• Size: 162.17 MiB

Features

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

Statistics

Homepage

• https://www.cs.toronto.edu/~kriz/cifar.html

Supervised keys (for as_supervised=True)

(u'image', u'label')

Citation

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