Datasets

 

Home

 

The first database of human faces especially created for face detection:

  • BioID Face Detection Database

    1521 images with human faces, recorded under natural conditions, i.e. varying illumination and complex background. The eye positions have been set manually (and are included in the set) for calculating the accuracy of a face detector. A formula is presented to normalize the decision of a match or mismatch. This is, to my knowledge, the first attempt to finally create a real test scenario with precise rules on how to calculate the accuracy of a face detector - open for all to compare their results in a scientific way!

    A new addition: The BioID Face Detection Database is being used within the FGnet project of the European Working Group on face and gesture recognition. Therefore, several additional feature points have been marked up, which are very useful for facial analysis and gesture recognition. This data is also available for public download here.

 

 

  • Face and Gesture Recognition Working Group FGnet
  • European FGnet encourages development of face and gesture recognition techniques. Among other contributions worth having a look at, they provide resources especially useful for face detection/recognition. Have a look at "Benchmark Data" to access the list of useful datasets!

 

 

Many other face databases are available nowadays. The current trend is to recognize faces from different views, under varying illumination, or along time differences (aging).  Here are some especially useful for testing face detection performance:

 


Sooner or later, you will feel the need for an average face model when trying different locating algorithms. Here are some averaged faces:

 

The Face Detection Homepage. By Robert W. Frischholz