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UMIST_Faces_Cropped - MaRDI portal

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UMIST_Faces_Cropped

From MaRDI portal
Dataset:6035425



OpenML41084MaRDI QIDQ6035425

OpenML dataset with id 41084

Author name not available (Why is that?)

Full work available at URL: https://api.openml.org/data/v1/download/19329749/UMIST_Faces_Cropped.arff

Upload date: 14 May 2018
Copyright license: No records found.



Dataset Characteristics

Number of classes: 20
Number of features: 10,305 (numeric: 10,304, symbolic: 1 and in total binary: 0 )
Number of instances: 575
Number of instances with missing values: 0
Number of missing values: 0

Description

Author: H. Wechsler, P. J. Phillips, V. Bruce, F. Fogelman-Soulie and T. S. Huang Source: https://www.sheffield.ac.uk/eee/research/iel/research/face Please cite: Characterizing Virtual Eigensignatures for General Purpose Face Recognition, Daniel B Graham and Nigel M Allinson. In Face Recognition: From Theory to Applications ; NATO ASI Series F, Computer and Systems Sciences, Vol. 163; H. Wechsler, P. J. Phillips, V. Bruce, F. Fogelman-Soulie and T. S. Huang (eds), pp 446-456, 1998.

The Sheffield (previously UMIST) Face Database consists of 564 images of 20 individuals (mixed race/gender/appearance). Each individual is shown in a range of poses from profile to frontal views - each in a separate directory labelled 1a, 1b, ... 1t and images are numbered consecutively as they were taken

Grayscale faces 8 bit [0-255], a few images (views) of 20 different people. 575 total images, 112x92 size, manually cropped by Daniel Graham at UMist






This page was built for dataset: UMIST_Faces_Cropped

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