Olivetti_Faces
OpenML dataset with id 41083
AT n T Laboratories Cambridge
Full work available at URL: https://api.openml.org/data/v1/download/19329746/Olivetti_Faces.arff
Upload date: 14 May 2018
Copyright license: CC0
Dataset Characteristics
Number of classes: 40
Number of features: 4,097 (numeric: 4,096, symbolic: 1 and in total binary: 0 )
Number of instances: 400
Number of instances with missing values: 0
Number of missing values: 0
Author: AT&T Laboratories Cambridge Source: http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html - Date: 1992-1994 Please cite:
This dataset contains a set of face images taken between April 1992 and April 1994 at AT&T Laboratories Cambridge.
As described on the original website:
There are ten different images of each of 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no glasses). All the images were taken against a dark homogeneous background with the subjects in an upright, frontal position (with tolerance for some side movement). The image is quantized to 256 grey levels and stored as unsigned 8-bit integers; the loader will convert these to floating point values on the interval [0, 1], which are easier to work with for many algorithms.
The “target” for this database is an integer from 0 to 39 indicating the identity of the person pictured; however, with only 10 examples per class, this relatively small dataset is more interesting from an unsupervised or semi-supervised perspective.
The original dataset consisted of 92 x 112, while the version available here consists of 64x64 images.
When using these images, please give credit to AT&T Laboratories Cambridge.
This page was built for dataset: Olivetti_Faces
