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CIFAR-100

The CIFAR-100 dataset This dataset is just like the CIFAR-10, except 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). Here is the list of classes in the CIFAR-100:

Reference:

Data and Resources

Additional Info

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Source https://www.cs.toronto.edu/~kriz/cifar.html
Last Updated October 11, 2020, 12:23 (CST)
Created March 7, 2018, 16:43 (CST)

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