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tf.keras.datasets.cifar10.load_data

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tf.compat.v1.keras.datasets.cifar10.load_data

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.

Returns

Returns
Tuple of Numpy arrays: `(x_train, y_train), (x_test, y_test)`. x_train, x_test: uint8 arrays of RGB image data with shape `(num_samples, 3, 32, 32)` if `tf.keras.backend.image_data_format()` is `'channels_first'`, or `(num_samples, 32, 32, 3)` if the data format is `'channels_last'`. y_train, y_test: uint8 arrays of category labels (integers in range 0-9) each with shape (num_samples, 1).

Tuple of Numpy arrays: (x_train, y_train), (x_test, y_test).

x_train, x_test: uint8 arrays of RGB image data with shape (num_samples, 3, 32, 32) if tf.keras.backend.image_data_format() is 'channels_first', or (num_samples, 32, 32, 3) if the data format is 'channels_last'.

y_train, y_test: uint8 arrays of category labels (integers in range 0-9) each with shape (num_samples, 1).

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/datasets/cifar10/load_data