chainer.datasets.get_svhn

chainer.datasets.get_svhn(withlabel=True, scale=1.0, dtype=<class 'numpy.float32'>, label_dtype=<class 'numpy.int32'>)

Gets the SVHN dataset.

The Street View House Numbers (SVHN) dataset is a dataset similar to MNIST but composed of cropped images of house numbers. The functionality of this function is identical to the counterpart for the MNIST dataset (get_mnist()), with the exception that there is no ndim argument.

Note

SciPy is required to use this feature.

Parameters:

• withlabel (bool) – If True, it returns datasets with labels. In this case, each example is a tuple of an image and a label. Otherwise, the datasets only contain images.
• scale (float) – Pixel value scale. If it is 1 (default), pixels are scaled to the interval [0, 1].
• dtype – Data type of resulting image arrays.
• label_dtype – Data type of the labels.

Returns:

A tuple of two datasets. If withlabel is True, both datasets are TupleDataset instances. Otherwise, both datasets are arrays of images.