Face Detection Data Set and Benchmark Home


Welcome to the Face Detection Data Set and Benchmark (FDDB), a data set of face regions designed for studying the problem of unconstrained face detection. This data set contains the annotations for 5171 faces in a set of 2845 images taken from the Faces in the Wild data set. More details can be found in the technical report below.
Explore the database:
Download the database:
Results:
See the results page for:
(a) the procedure for reporting the results on this benchmark, and
(b) the performance curves for various methods.
Reference:
Please cite as:
Vidit Jain and Erik Learned-Miller.
FDDB: A Benchmark for Face Detection in Unconstrained Settings.
Technical Report UM-CS-2010-009, Dept. of Computer Science, University of Massachusetts, Amherst. 2010.

BibTeX entry:
@TechReport{fddbTech,
  author = {Vidit Jain and Erik Learned-Miller},
  title =  {FDDB: A Benchmark for Face Detection in Unconstrained Settings},
  institution =  {University of Massachusetts, Amherst},
  year = {2010},
  number = {UM-CS-2010-009}
  }
Contact:
Questions and comments can be sent to:
Aruni Roy Chowdhury
(Previously maintained by: Vidit Jain)
Support:
The building of this benchmark was supported by NSF CAREER Award number 0546666.