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cifar10

load_data

Load and return the CIFAR10 dataset.

Please consider using the ciFAIR10 dataset instead. CIFAR10 contains duplicates between its train and test sets.

Parameters:

Name Type Description Default
image_key str

The key for image.

 'x'
label_key str

The key for label.

 'y'

Returns:

Type Description
Tuple[NumpyDataset, NumpyDataset]

(train_data, eval_data)
Source code in fastestimator\fastestimator\dataset\data\cifar10.py 
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def load_data(image_key: str = "x", label_key: str = "y") -> Tuple[NumpyDataset, NumpyDataset]:
    """Load and return the CIFAR10 dataset.

    Please consider using the ciFAIR10 dataset instead. CIFAR10 contains duplicates between its train and test sets.

    Args:
        image_key: The key for image.
        label_key: The key for label.

    Returns:
        (train_data, eval_data)
    """
    print("\033[93m {}\033[00m".format("FastEstimator-Warn: Consider using the ciFAIR10 dataset instead."))
    (x_train, y_train), (x_eval, y_eval) = tf.keras.datasets.cifar10.load_data()
    train_data = NumpyDataset({image_key: x_train, label_key: y_train})
    eval_data = NumpyDataset({image_key: x_eval, label_key: y_eval})
    return train_data, eval_data