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Faces (AT&T)

The Database of Faces (AT&T)

The Database of Faces

Dataset Statistics

  1. Color: Grey-scale
  2. Sample Size: 92x112
  3. #Samples: 400
  4. Dataset Size: 4.5 MB (compressed in .tar.z)

The original files are in PGM format, and can conveniently be viewed on UNIX (TM) systems using the ‘xv’ program. The size of each image is 92x112 pixels, with 256 grey levels per pixel. The images are organised in 40 directories (one for each subject), which have names of the form sX, where X indicates the subject number (between 1 and 40). In each of these directories, there are ten different images of that subject, which have names of the form Y.pgm, where Y is the image number for that subject (between 1 and 10).

The AT&T face dataset, “(formerly ‘The ORL Database of Faces’), contains a set of face images taken between April 1992 and April 1994 at the lab. The database was used in the context of a face recognition project carried out in collaboration with the Speech, Vision and Robotics Group of the Cambridge University Engineering Department.”

“There are 10 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). A preview image of the Database of Faces is available.”

Full Dataset

ATT Sample

Dataset Usage

TensorFlow

Face Recognition using Deep Learning and TensorFlow Framework

Run the following commands:

git clone https://github.com/alpha-13/Face-Recognition.git
cd Face-Recognition
python Face\ Recognition\ TensorFlow.py

PyTorch

Facial Similarity with Siamese Networks in Pytorch

Run the following commands to install the dependencies:

git clone https://github.com/harveyslash/Facial-Similarity-with-Siamese-Networks-in-Pytorch.git
cd Facial-Similarity-with-Siamese-Networks-in-Pytorch
pip install -r requirements.txt

Converting pgm files to png: (Need to install imagemagick)

cd "Root directory of the images"
find -name "*pgm" | xargs -I {} convert {} {}.png

jupyter nbconvert --execute Siamese-networks-medium.ipynb