Python API

The MNIST Database is a database of handwritten digits, which has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image.

class bob.db.mnist.Database

Bases: object

Wrapper class for the MNIST database of handwritten digits.

The original database files are distributed over: http://yann.lecun.com/exdb/mnist/.

data(groups=None, labels=None)

Loads the MNIST samples and labels and returns them in NumPy arrays

Parameters

• groups (str or list) – One of the groups train or test, or a list with both of them (which is the default)

• labels (int or list) – A subset of the labels (digits 0 to 9) (everything is the default)

Returns

A 2D array representing the digit images, with as many rows as examples in the dataset, as many columns as pixels (actually, there are 28x28 = 784 rows). The pixels of each image are unrolled in C-scan order (i.e., first row 0, then row 1, etc.)

numpy.ndarray: A 1D array with as many elements as examples in the dataset, containing the labels for each image returned above.

Return type

numpy.ndarray

groups()

Returns the vector of groups

labels()

Returns the vector of labels

bob.db.mnist.get_config()

Returns a string containing the configuration information.