LFWcrop Face Dataset

LFWcrop is a cropped version of the Labeled Faces in the Wild (LFW) dataset, keeping only the center portion of each image (i.e. the face). In the vast majority of images almost all of the background is omitted.

LFWcrop was created due to concern about the misuse of the original LFW dataset, where face matching accuracy can be unrealistically boosted through the use of background parts of images (i.e. exploitation of possible correlations between faces and backgrounds).

For each LFW image, the area inside a fixed bounding box was extracted. The bounding box was at the same location for all images, with the upper-left and lower-right corners being (83,92) and (166,175), respectively. The extracted area was then scaled to a size of 64x64 pixels. The selection of the bounding box location was based on the positions of 40 randomly selected LFW faces [1].

As the location and size of faces in LFW was determined through the use of an automatic face locator (detector) [2], the cropped faces in LFWcrop exhibit real-life conditions, including mis-alignment, scale variations, in-plane as well as out-of-plane rotations.

Please see the README.txt file inside the archive for more information. The cropped images are stored in the simple pgm (greyscale) and ppm (colour) formats.

  1. C. Sanderson, B.C. Lovell.
    Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference.
    ICB 2009, LNCS 5558, pp. 199-208, 2009.

  2. G.B. Huang, M. Ramesh, T. Berg, E. Learned-Miller.
    Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments.
    University of Massachusetts, Amherst, Technical Report 07-49, 2007.