CIFAR

CIFAR-10

  • The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class.
    • 50000 training images (5 batches)
    • 10000 test images. (1 batch)

CIFAR-100

  • it has 100 classes containing 600 images each.
  • There are 500 training images and 100 testing images per class.

  • The 100 classes in the CIFAR-100 are grouped into 20 superclasses. Each image comes with a "fine" label (the class to which it belongs) and a "coarse" label (the superclass to which it belongs).

  • <1 x="" coarse="" label=""><1 x="" fine="" label=""><3072 x="" pixel=""> (32323)

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