45 lines
1.8 KiB
ReStructuredText
45 lines
1.8 KiB
ReStructuredText
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.. _olivetti_faces_dataset:
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The Olivetti faces dataset
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--------------------------
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`This dataset contains a set of face images`_ taken between April 1992 and
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April 1994 at AT&T Laboratories Cambridge. The
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:func:`sklearn.datasets.fetch_olivetti_faces` function is the data
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fetching / caching function that downloads the data
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archive from AT&T.
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.. _This dataset contains a set of face images: http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html
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As described on the original website:
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There are ten different images of each of 40 distinct subjects. For some
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subjects, the images were taken at different times, varying the lighting,
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facial expressions (open / closed eyes, smiling / not smiling) and facial
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details (glasses / no glasses). All the images were taken against a dark
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homogeneous background with the subjects in an upright, frontal position
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(with tolerance for some side movement).
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**Data Set Characteristics:**
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================= =====================
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Classes 40
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Samples total 400
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Dimensionality 4096
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Features real, between 0 and 1
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================= =====================
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The image is quantized to 256 grey levels and stored as unsigned 8-bit
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integers; the loader will convert these to floating point values on the
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interval [0, 1], which are easier to work with for many algorithms.
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The "target" for this database is an integer from 0 to 39 indicating the
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identity of the person pictured; however, with only 10 examples per class, this
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relatively small dataset is more interesting from an unsupervised or
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semi-supervised perspective.
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The original dataset consisted of 92 x 112, while the version available here
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consists of 64x64 images.
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When using these images, please give credit to AT&T Laboratories Cambridge.
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