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:

Original, unannotated set of images. These are from the Faces in the Wild dataset, which come with the following restriction: "This dataset is for academic research purposes only".
Face annotations. The annotations are split into ten folds. See README for details.
README - information on directory structure and file formats

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.

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