Face Detection Data Set and Benchmark University of Massachusetts - Amherst
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Original set of images (from Faces in the Wild data set)
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Face annotations
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Detection output 4a. Rectangular regions 4b. Elliptical regions
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Additional details
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Original set of images
The original set of images can be downloaded from http://tamaraberg.com/faceDataset/originalPics.tar.gz Uncompressing this file organizes the images as originalPics/year/month/day/big/*.jpg
- Face annotations
Uncompressing the "FDDB-folds.tgz" file creates a directory "FDDB-folds", which contains files with names: FDDB-fold-xx.txt and FDDB-fold-xx-ellipseList.txt, where xx = {01, 02, ..., 10} represents the fold-index.
Each line in the "FDDB-fold-xx.txt" file specifies a path to an image in the above-mentioned data set. For instance, the entry "2002/07/19/big/img_130" corresponds to "originalPics/2002/07/19/big/img_130.jpg."
The corresponding annotations are included in the file "FDDB-fold-xx-ellipseList.txt" in the following format:
...
...
...
Here, each face is denoted by: <major_axis_radius minor_axis_radius angle center_x center_y 1>.
- Detection output
To be recognized by the evaluation code, the detection output is expected in the following format:
...
...
...
where the representation of a face depends on the specifics of the shape of the hypothesized image region. The evaluation code supports the following shapes:
4 a. Rectangular regions Each face region is represented as: <left_x top_y width height detection_score>
4 b. Elliptical regions Each face region is represented as: <major_axis_radius minor_axis_radius angle center_x center_y detection_score>.
Also, the order of images in the output file is expected to be the same as the order in the file annotatedList.txt.
- Additional details
For additional details on how the database was constructed, as well as how the configurations were chosen for performance reporting, please refer to our technical report:
Vidit Jain and Erik Learned-Miller. FDDB: A Benchmark for Face Detection in Unconstrained Settings. University of Massachusetts Amherst, Technical Report , February, 2010.