Labeled Face Parts in the Wild (LFPW) Dataset

 

Kriegman-Belhumeur Vision Technologies, LLC.

 

 

 

Release 1 of LFPW consists of 1,432 faces from images downloaded from the web using simple text queries on sites such as google.com, flickr.com, and yahoo.com.   Each image was labeled by three MTurk workers, and 29 fiducial points, shown below, are included in dataset.  LFPW was originally described in the following publication:

 

"Localizing Parts of Faces Using a Consensus of Exemplars,"

Peter N. Belhumeur, David W. Jacobs, David J. Kriegman, Neeraj Kumar,

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition (CVPR),

June 2011.

[pdf] [poster][project page]

 

 

LFPW was used to evaluate a face part (facial fiducial point) detection method which was trained on 1,132 images and tested on 300 images., and so the data set is divided into two files, one for training and testing. The database can be downloaded from here:

 

Due to copyright issues, we cannot distribute image files in any format to anyone. Instead, we have made available a list of image URLs where you can download the images yourself. We realize that this makes it impossible to exactly compare numbers, as image links will slowly disappear over time, but we have no other option. This seems to be the way other large web-based databases seem to be evolving.

 

Data Format

 

 

The dataset is in a CSV file, using tab characters ('\t') as the delimiter. The first line of the file defines the fields. The first is "imgurl", which is the original url of the image. The second is "worker", which can be one of "worker_0", "worker_1", "worker_2", or "average". These are different workers' labels, along with an average we computed (arithmetic mean for x, y locations, and median for type). Most images thus have 4 lines in the csv file, one corresponding to each worker and one for the average. (Note that there were a few errors with some of the workers, so some images only have 3 rows.)

 

Following these are all the fiducials. Each fiducial has 3 fields: <fid>_x, <fid>_y, <fid>_t, which correspond to the x and y locations (with subpixel accuracy) and the visibility type. The visibility can take the following values:

 

0: Visible

1: obscured by hair/glasses/etc.

2: hidden because of viewing angle

3: hidden because of image crop

 

Here are the different fiducials (35 in all):

  1. left_eyebrow_out
  2. right_eyebrow_out
  3. left_eyebrow_in
  4. right_eyebrow_in
  5. left_eyebrow_center_top
  6. left_eyebrow_center_bottom
  7. right_eyebrow_center_top
  8. right_eyebrow_center_bottom
  9. left_eye_out
  10. right_eye_out
  11. left_eye_in
  12. right_eye_in
  13. left_eye_center_top
  14. left_eye_center_bottom
  15. right_eye_center_top
  16. right_eye_center_bottom
  17. left_eye_pupil
  18. right_eye_pupil
  19. left_nose_out
  20. right_nose_out
  21. nose_center_top
  22. nose_center_bottom
  23. left_mouth_out
  24. right_mouth_out
  25. mouth_center_top_lip_top
  26. mouth_center_top_lip_bottom
  27. mouth_center_bottom_lip_top
  28. mouth_center_bottom_lip_bottom
  29. left_ear_top
  30. right_ear_top
  31. left_ear_bottom
  32. right_ear_bottom
  33. left_ear_canal
  34. right_ear_canal
  35. chin

Citation

The database is made available only for non-commercial use. If you use this dataset, please cite the following paper:

 

"Localizing Parts of Faces Using a Consensus of Exemplars,"

Peter N. Belhumeur, David W. Jacobs, David J. Kriegman, Neeraj Kumar,

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition (CVPR),

June 2011.

 

Kriegman-Belhumeur Vision Technologies, LLC. 2011-2013