University of Notre Dame Biometrics Database Release Agreement (Notre Dame Male/Female Accuracy Dataset: MFAD)Database Release Agreement • September 11th, 2024
Contract Type FiledSeptember 11th, 2024The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. Datasets that we have collected are meant to aid research efforts in the general area of developing, testing and evaluating human recognition algorithms. The University of Notre Dame du Lac (henceforth, “UND”) owns copyright of the collection of biometric images and serves as the source for the UND Biometrics Database. This dataset contains images for 575 subjects who identified as Caucasian female, with 6,669 images total, and for 687 subjects who identified as Caucasian male, with 8,419 images total. Image acquisition conditions and image quality should be very similar for female and male subjects, and this dataset may be useful for studying accuracy differences across female / male demographics.
University of Notre Dame Biometrics Database Release Agreement (Notre Dame Male/Female Accuracy Dataset: MFAD)Database Release Agreement • December 1st, 2022
Contract Type FiledDecember 1st, 2022The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. Datasets that we have collected are meant to aid research efforts in the general area of developing, testing and evaluating human recognition algorithms. The University of Notre Dame du Lac (henceforth, “UND”) owns copyright of the collection of biometric images and serves as the source for the UND Biometrics Database. This dataset contains images for 575 subjects who identified as Caucasian female, with 6,669 images total, and for 687 subjects who identified as Caucasian male, with 8,419 images total. Image acquisition conditions and image quality should be very similar for female and male subjects, and this dataset may be useful for studying accuracy differences across female / male demographics.