- chainer.datasets.get_cifar10(withlabel=True, ndim=3, scale=1.0, dtype=None)[source]¶
Gets the CIFAR-10 dataset.
CIFAR-10 is a set of small natural images. Each example is an RGB color image of size 32x32, classified into 10 groups. In the original images, each component of pixels is represented by one-byte unsigned integer. This function scales the components to floating point values in the interval
This function returns the training set and the test set of the official CIFAR-10 dataset. If
True, each dataset consists of tuples of images and labels, otherwise it only consists of images.
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.
ndim (int) –
Number of dimensions of each image. The shape of each image is determined depending on ndim as follows:
ndim == 1: the shape is
ndim == 3: the shape is
(3, 32, 32)
scale (float) – Pixel value scale. If it is 1 (default), pixels are scaled to the interval
dtype – Data type of resulting image arrays.
chainer.config.dtypeis used by default (see Configuring Chainer).
A tuple of two datasets. If
True, both datasets are
TupleDatasetinstances. Otherwise, both datasets are arrays of images.