VADANA: Vims Appearance Dataset for facial ANAlysis

People: Gowri Somanath, Rohith MV, Chandra Kambhamettu

Interesting questions that VADANA can help explore:

  • Are these two subjects related by blood? Are they siblings or parent-child?
  • Do these images belong to the same person?
  • What is the gender, age, expression or pose in this image?

Analysis of face images has been the topic of in-depth research with wide spread applications. Face recognition, verification, age progression studies are some of the topics under study. In order to facilitate comparison and benchmarking of different approaches, various datasets have been released. For the specific topics of face verification with age progression, aging pattern extraction and age estimation, only two public datasets are currently available. The FGNET and MORPH datasets contain a large number of subjects, but only a few images are available for each subject. We present a new dataset, VADANA, which complements them by providing a large number of high quality digital images for each subject within and across ages (depth vs. breadth). It provides the largest number of intra-personal pairs, essential for better training and testing. The images also offer a natural range of pose, expression and illumination variation. A parallel version with aligned faces is also created. Additionally, we provide relationships between subjects. We demonstrate the difference and difficulty of VADANA by testing with state-of-the-art algorithms. Our findings from experiments show how VADANA can aid further research on different types of verification algorithms. The variety of characteristics our data offers facilitate testing and benchmarking of other facial analysis algorithms

vadanaSamples.jpg: 1312x790, 315k (August 30, 2011, at 05:06 PM)

Download

VADANA is available free of cost for non-commercial, research purposes. Please fill the request form to obtain VADANA. The complete package contains the following (see related publication for details):

  • Raw image set (unaligned)
  • Aligned image set
  • Meta-data (subject data and image data)
  • Experiment sets (Fixed partitions to be used for fair comparison)

Related benchmark

Related publications

Use of any part of the above dataset must cite the following publication:

  • Gowri Somanath, Rohith MV, Chandra Kambhamettu, VADANA: A dense dataset for facial image analysis, BeFIT 2011 First IEEE International Workshop on Benchmarking Facial Image Analysis Technologies (held in conjunction with the ICCV 2011).
  • Gowri Somanath, Chandra Kambhamettu, Can faces verify blood-relations?, Accepted to IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) 2012.