Disguised Faces in the Wild dataset


The DFW dataset consists of 1000 subjects and 11157 images. Pre-defined training and testing splits are provided, where 400 subjects form the training set, while the remaining 600 subjects form the test set. Each subject may contain normal, validation, disguised, and impersonator images. Nomenclature of the dataset is as follows:

  • Subject normal images are named as xxx.jpg. For example: Anna_Nicole.jpg
  • Subject validation images follow xxx_a.jpg naming format. For example: Anna_Nicole_a.jpg
  • Disguised images are named as xxx_h_0xx.jpg. For example: Anna_Nicole_h_001.jpg
  • Impersonator images are named as xxx_I_0xx.jpg. For example: Anna_Nicole_I_001.jpg


  • The database can be downloaded from the following link.

    Disguised Faces in the Wild Database (DFW) (4.50 GB) (CRC-32: 4D8C081E, MD5: 522BA72DA35D9A39FB8DA5B701B7FD82)

    To obtain the password for the compressed file, email the duly filled license agreement to databases@iab-rubric.org with the subject line "License agreement for DFW Database."
    NOTE: The license agreement has to be signed by someone having the legal authority to sign on behalf of the institute, such as the head of the institution or registrar. If a license agreement is signed by someone else, it will not be processed further.

    This database is available only for research and educational purpose and not for any commercial use. If you use the database in any publications or reports, you must cite the following paper:

  • V. Kushwaha, M. Singh, R. Singh, M. Vatsa, N. Ratha, and R. Chellappa, Disguised Faces in the Wild, IEEE International Conference on Computer Vision and Pattern Recognition Workshop on Disguised Faces in the Wild, 2018