sklearn.datasets.fetch_olivetti_faces¶
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sklearn.datasets.fetch_olivetti_faces(data_home=None, shuffle=False, random_state=0, download_if_missing=True, return_X_y=False)[source]¶ Load the Olivetti faces data-set from AT&T (classification).
Download it if necessary.
Classes
40
Samples total
400
Dimensionality
4096
Features
real, between 0 and 1
Read more in the User Guide.
- Parameters
- data_homeoptional, default: None
Specify another download and cache folder for the datasets. By default all scikit-learn data is stored in ‘~/scikit_learn_data’ subfolders.
- shuffleboolean, optional
If True the order of the dataset is shuffled to avoid having images of the same person grouped.
- random_stateint, RandomState instance or None (default=0)
Determines random number generation for dataset shuffling. Pass an int for reproducible output across multiple function calls. See Glossary.
- download_if_missingoptional, True by default
If False, raise a IOError if the data is not locally available instead of trying to download the data from the source site.
- return_X_yboolean, default=False.
If True, returns
(data, target)instead of aBunchobject. See below for more information about thedataandtargetobject.New in version 0.22.
- Returns
- bunchBunch object with the following attributes:
data: ndarray, shape (400, 4096). Each row corresponds to a ravelled face image of original size 64 x 64 pixels.
images : ndarray, shape (400, 64, 64). Each row is a face image corresponding to one of the 40 subjects of the dataset.
target : ndarray, shape (400,). Labels associated to each face image. Those labels are ranging from 0-39 and correspond to the Subject IDs.
DESCR : string. Description of the modified Olivetti Faces Dataset.
- (data, target)tuple if
return_X_y=True New in version 0.22.
