chainer.datasets.get_cifar100¶
-
chainer.datasets.
get_cifar100
(withlabel=True, ndim=3, scale=1.0, dtype=None)[source]¶ Gets the CIFAR-100 dataset.
CIFAR-100 is a set of small natural images. Each example is an RGB color image of size 32x32, classified into 100 groups. In the original images, each component pixels is represented by one-byte unsigned integer. This function scales the components to floating point values in the interval
[0, scale]
.This function returns the training set and the test set of the official CIFAR-100 dataset. If
withlabel
isTrue
, each dataset consists of tuples of images and labels, otherwise it only consists of images.- 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.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(3072,)
ndim == 3
: the shape is(3, 32, 32)
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.
chainer.config.dtype
is used by default (see Configuring Chainer).
- Returns
A tuple of two datasets. If
withlabel
isTrue
, both areTupleDataset
instances. Otherwise, both datasets are arrays of images.