This data consists of 640 black and white face images of people taken with varying pose (straight, left, right, up), expression (neutral, happy, sad, angry), eyes (wearing sunglasses or not), and size.
Tom Mitchell School of Computer Science Carnegie Mellon University email@example.comDate Donated: June 24, 1999
Each image can be characterized by the pose, expression, eyes, and size. There are 32 images for each person capturing every combination of features.
Shown here are four representative images.
The image data can be found in /faces. This directory contains 20 subdirectories, one for each person, named by userid. Each of these directories contains several different face images of the same person.
You will be interested in the images with the following naming convention:
<userid> <pose> <expression> <eyes> <scale>.pgm
If you've been looking closely in the image directories, you may notice that some images have a .bad suffix rather than the .pgm suffix. As it turns out, 16 of the 640 images taken have glitches due to problems with the camera setup; these are the .bad images. Some people had more glitches than others, but everyone who got ``faced'' should have at least 28 good face images (out of the 32 variations possible, discounting scale).
T. Mitchell. Machine Learning, McGraw Hill, 1997.
More information and C code for loading the images is available here.
The Face Recognition Home Page