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CIFAR-10

CIFAR-10 computer-vision training dataset

The CIFAR-10 dataset contains 50,000 training and 10,000 test images of 10 object classes ("airplane", "automobile", "bird", "cat", "deer", "dog", "frog", "horse", "ship", "truck"). Each image is an RGB image of size 32x32.

Examples

Open in Wolfram Cloud

Basic Examples

Retrieve the ResourceObject:

In[1]:=
ResourceObject["CIFAR-10"]
Out[1]=

View the data:

In[2]:=
ResourceData["CIFAR-10"]
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Wolfram Research, "CIFAR-10" from the Wolfram Data Repository. (2016) https://doi.org/10.24097/wolfram.83212.data

Source Metadata

  • Source: 'Learning Multiple Layers of Features from Tiny Images', A. Krizhevsky (2009), https://www.cs.toronto.edu/~kriz/cifar.html