.. _example_applications_face_recognition.py:


===================================================
Faces recognition example using eigenfaces and SVMs
===================================================

The dataset used in this example is a preprocessed excerpt of the
"Labeled Faces in the Wild", aka LFW_:

  http://vis-www.cs.umass.edu/lfw/lfw-funneled.tgz (233MB)

.. _LFW: http://vis-www.cs.umass.edu/lfw/

Expected results for the top 5 most represented people in the dataset::

                     precision    recall  f1-score   support

  Gerhard_Schroeder       0.91      0.75      0.82        28
    Donald_Rumsfeld       0.84      0.82      0.83        33
         Tony_Blair       0.65      0.82      0.73        34
       Colin_Powell       0.78      0.88      0.83        58
      George_W_Bush       0.93      0.86      0.90       129

        avg / total       0.86      0.84      0.85       282





**Python source code:** :download:`face_recognition.py <face_recognition.py>`

.. literalinclude:: face_recognition.py
    :lines: 28-