Comments on the “Kinship Face in the Wild” Data Sets

Miguel Bordallo Lopez, Elhocine Boutellaa, Abdenour Hadid

Research output: Contribution to journalArticleScientificpeer-review

34 Citations (Scopus)


The Kinship Face in the Wild data sets, recently published in TPAMI, are currently used as a benchmark for the evaluation of kinship verification algorithms. We recommend that these data sets are no longer used in kinship verification research unless there is a compelling reason that takes into account the nature of the images. We note that most of the image kinship pairs are cropped from the same photographs. Exploiting this cropping information, competitive but biased performance can be obtained using a simple scoring approach, taking only into account the nature of the image pairs rather than any features about kin information. To illustrate our motives, we provide classification results utilizing a simple scoring method based on the image similarity of both images of a kinship pair. Using simply the distance of the chrominance averages of the images in the Lab color space without any training or using any specific kin features, we achieve performance comparable to state-of-the-art methods. We provide the source code to prove the validity of our claims and ensure the repeatability of our experiments.
Original languageEnglish
Pages (from-to)2342-2344
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Issue number11
Publication statusPublished - 1 Nov 2016
MoE publication typeA1 Journal article-refereed


  • kinship verification
  • face recognition
  • biometrics


Dive into the research topics of 'Comments on the “Kinship Face in the Wild” Data Sets'. Together they form a unique fingerprint.

Cite this