<br />

|---|
| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/keras-team/keras/tree/v2.15.0/keras/src/datasets/cifar10.py#L29-L115) |

Loads the CIFAR10 dataset.

```python
tf.keras.datasets.cifar10.load_data()
```

This is a dataset of 50,000 32x32 color training images and 10,000 test
images, labeled over 10 categories. See more info at the
[CIFAR homepage](https://www.cs.toronto.edu/%7Ekriz/cifar.html).

#### The classes are:

| Label | Description |
|---|---|
| 0 | airplane |
| 1 | automobile |
| 2 | bird |
| 3 | cat |
| 4 | deer |
| 5 | dog |
| 6 | frog |
| 7 | horse |
| 8 | ship |
| 9 | truck |

<br />

<br />

<br />

| ## Returns ||
|---|---|
| Tuple of NumPy arrays: `(x_train, y_train), (x_test, y_test)`. ||

<br />

**x_train** : uint8 NumPy array of image data with shapes
`(50000, 32, 32, 3)`, containing the training data. Pixel values range
from 0 to 255.

**y_train** : uint8 NumPy array of labels (integers in range 0-9)
with shape `(50000, 1)` for the training data.

**x_test** : uint8 NumPy array of image data with shapes
`(10000, 32, 32, 3)`, containing the test data. Pixel values range
from 0 to 255.

**y_test** : uint8 NumPy array of labels (integers in range 0-9)
with shape `(10000, 1)` for the test data.

#### Example:

```python
(x_train, y_train), (x_test, y_test) = keras.datasets.cifar10.load_data()
assert x_train.shape == (50000, 32, 32, 3)
assert x_test.shape == (10000, 32, 32, 3)
assert y_train.shape == (50000, 1)
assert y_test.shape == (10000, 1)
```