University of Notre Dame Biometrics Database Release Agreement (Collection D)Biometrics Database Release Agreement • February 4th, 2022
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is meant to aid research efforts in the general area of developing, testing and evaluating human recognition algorithms. The University of Notre Dame (UND) owns copyright of the collection of biometric images and serves as the source for distribution of the UND Biometrics Database.
University of Notre Dame Biometrics Database Release Agreement (Collection ND_Cosmetic_Contact_Lenses_2013)Biometrics Database Release Agreement • February 4th, 2022
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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”) own copyright of the collection of biometric images labeled “ND_Cosmetic_Contact_Lenses_2013” and serves as the source for this data.
University of Notre Dame Biometrics Database Release Agreement (Collection G)Biometrics Database Release Agreement • July 22nd, 2022
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is meant to aid research efforts in the general area of developing, testing and evaluating human recognition algorithms. The University of Notre Dame (UND) owns copyright of the collection of biometric images and serves as the source for distribution of the UND Biometrics Database.
University of Notre Dame Biometrics Database Release Agreement (Collection Notre Dame Synthetic Face Dataset)Biometrics Database Release Agreement • May 6th, 2021
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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.
University of Notre Dame Biometrics Database Release Agreement (Collection ND- TimeLapseIris-2012)Biometrics Database Release Agreement • September 14th, 2021
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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”) own copyright of the collection of biometric images labeled “ND-TimeLapseIris2012” and serves as the source for this data.
University of Notre Dame Biometrics Database Release Agreement Remote Pulse Detection 21 DatasetBiometrics Database Release Agreement • September 9th, 2021
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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.
University of Notre Dame Biometrics Database Release Agreement (Point and Shoot Challenge (PaSC) data set)Biometrics Database Release Agreement • September 8th, 2021
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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.
University of Notre Dame Biometrics Database Release Agreement (Collection NDIris3D)Biometrics Database Release Agreement • March 30th, 2021
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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.
University of Notre Dame Biometrics Database Release AgreementBiometrics Database Release Agreement • October 12th, 2021
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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.
University of Notre Dame Biometrics Database Release AgreementBiometrics Database Release Agreement • July 14th, 2023
Introduction: Datasets that we have collected are meant to aid research efforts in the general area of developing, testing and evaluating human recognition algorithms. The goal of this research is to understand which type of information offered by Artificial Intelligence helps humans in distinguishing between real and synthetically generated face images. This dataset contains (a) images of live (authentic) faces, (b) images of faces synthetically generated by deep learning-based generative adversarial networks, and (c) regions annotated by humans solving the synthetic face detection task, indicating features supporting their decisions. The University of Notre Dame du Lac (henceforth, “UND”) owns copyright of the collection of biometric images acquired at UND, and of the synthetic images generated by UND, and serves as the source for the UND WACV 2023 CYBORG Dataset.
University of Notre Dame (UND) Biometrics Database Release AgreementBiometrics Database Release Agreement • September 14th, 2024
Introduction: Datasets that we have collected are meant to aid research efforts in the general area of developing, testing and evaluating human recognition algorithms. The purpose of collecting the RAITE (Robust Artificial Intelligence Test Event) 2023 dataset was to research on how person detection AI (Artificial Intelligence) models react to adversarial attacks and anomalies. Subjects, who gave consent to participate in this collection, were asked to stand or walk in a simulated prison environment (organized in the Muscatatuck Urban Training Center, located near Butlerville, Indiana, USA) and were filmed by a few standard cameras. The subjects were asked to wear various types of apparel (t-shirt/shirt/sweater of various colors, hats, glasses, etc.), or keep banners with printed adversarial patterns to simulate visual adversarial attacks. The RAITE 2023 Dataset contains videos of subjects and metadata indicating which apparel was worn, or what other adversarial objects were used by su
University of Notre Dame Biometrics Database Release Agreement (Collection ND - Jump Analysis Video)Biometrics Database Release Agreement • July 8th, 2021
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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.
University of Notre Dame Biometrics Database Release Agreement (Collection E)Biometrics Database Release Agreement • July 3rd, 2023
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is meant to aid research efforts in the general area of developing, testing and evaluating human recognition algorithms. The University of Notre Dame (UND) owns copyright of the collection of biometric images and serves as the source for distribution of the UND Biometrics Database.
University of Notre Dame Biometrics Database Release Agreement (Near-Infrared and Visible Light Face, NIVL)Biometrics Database Release Agreement • September 11th, 2021
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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 NIVL dataset.
University of Notre Dame Biometrics Database Release AgreementBiometrics Database Release Agreement • July 15th, 2023
Introduction: Datasets that we have collected are meant to aid research efforts in the general area of developing, testing and evaluating human recognition algorithms. The goal of this research is to understand which type of information offered by Artificial Intelligence helps humans in distinguishing between real and synthetically generated face images. This dataset contains (a) images of live (authentic) faces, (b) images of faces synthetically generated by deep learning-based generative adversarial networks, and (c) regions annotated by humans solving the synthetic face detection task, indicating features supporting their decisions. The University of Notre Dame du Lac (henceforth, “UND”) owns copyright of the collection of biometric images acquired at UND, and of the synthetic images generated by UND, and serves as the source for the UND AAAI 2023 Dataset.
University of Notre Dame Biometrics Database Release Agreement (Collection ND-2006)Biometrics Database Release Agreement • March 25th, 2022
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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”) own copyright of the collection of biometric images labeled “ND-2006”) and serves as the source for this data.
University of Notre Dame Biometrics Database Release Agreement Notre Dame LivDet-Iris 2023 Dataset (ND LivDet-Iris-2023)Biometrics Database Release Agreement • April 18th, 2023
The 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 of live (authentic) irises and images of irises synthetically-generated by deep learning-based generative adversarial networks. The primary goal of creating and sharing this dataset is to allow researchers to participate in LivDet-Iris 2023 competition by delivering to the organizers the presentation attack detection scores associated with these images. After the LivDet-Iris 2023 competition is concluded, this dataset may be a useful benchmark allowing to compare future solutions with those submitted to the com
University of Notre Dame Biometrics Database Release Agreement (Collection FESA)Biometrics Database Release Agreement • August 20th, 2021
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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.
University of Notre Dame Biometrics Database Release Agreement (Triad Identity Matching (TIM) test)Biometrics Database Release Agreement • July 7th, 2021
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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.
University of Notre Dame Biometrics Database Release Agreement (Collection ND- LivDet-Iris-2017)Biometrics Database Release Agreement • May 28th, 2021
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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.
University of Notre Dame Biometrics Database Release AgreementBiometrics Database Release Agreement • August 20th, 2021
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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”) own copyright of the collection of biometric images labeled “ND_Contact_Lenses_Dataset_2015”) and serves as the source for this data.
University of Notre Dame Biometrics Database Release Agreement Deception Detection and Physiological Monitoring (DDPM)Biometrics Database Release Agreement • September 21st, 2021
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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.
University of Notre Dame Biometrics Database Release Agreement (Collection H)Biometrics Database Release Agreement • October 23rd, 2020
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is meant to aid research efforts in the general area of developing, testing and evaluating human recognition algorithms. The University of Notre Dame (UND) owns copyright of the collection of biometric images and serves as the source for distribution of the UND Biometrics Database.
University of Notre Dame Biometrics Database Release AgreementBiometrics Database Release Agreement • November 18th, 2024
Introduction: The 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 ND-PSIPAD-2024 dataset. The ND-PSIPAD-2024 dataset consists of: (a) 4,167 images of authentic irises not covered by textured contact lenses, (b) 4,167 images of irises wearing various types of textured contact lenses, (c) 4,167 synthetically-generated images representing irises not covered by textured contact lenses, and (d) 4,167 synthetically-generated images mimicking irises wearing textured contact lenses. The associated metadata includes subject ID, race, gender, eye (left/right), sensor used in acquisition (for authentic images), and contact le
University of Notre Dame Biometrics Database Release Agreement (Collection Notre Dame Photometric Stereo Iris Dataset – WACV19)Biometrics Database Release Agreement • April 6th, 2020
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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.
University of Notre Dame Biometrics Database Release Agreement (Collection F)Biometrics Database Release Agreement • May 17th, 2005
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is meant to aid research efforts in the general area of developing, testing and evaluating human recognition algorithms. The University of Notre Dame (UND) owns copyright of the collection of biometric images and serves as the source for distribution of the UND Biometrics Database.
University of Notre Dame Biometrics Database Release Agreement (Collection ND- CrossSensor-Iris-2012)Biometrics Database Release Agreement • May 28th, 2021
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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.
University of Notre Dame Biometrics Database Release Agreement (Collection EFCT 2017)Biometrics Database Release Agreement • April 2nd, 2022
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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.
University of Notre Dame Biometrics Database Release AgreementBiometrics Database Release Agreement • June 2nd, 2024
Introduction: Datasets that the Computer Vision Research Laboratory at the University of Notre Dame have collected are meant to aid research efforts in the general area of developing, testing, and evaluating human recognition algorithms. The goal of this research is to supplement sparse and relatively small datasets of authentic post-mortem iris images with synthetically-generated samples. This dataset contains images of iris images that resemble those captured from deceased subjects by an equipment compliant with ISO/IEC 19794-6. The data is categorized into 18 disjoint ranges of PMI (Post-Mortem Interval). In each range, there are 10,000 images representing 1,000 non-existent identities. There are 10 images per “identity” that may be considered as same-eye images. The University of Notre Dame du Lac (henceforth, “UND”) owns copyright of the collection of biometric images acquired at UND, and of the synthetic images generated by UND, and serves as the source for the UND-SFI-2024 Datas
University of Notre Dame Biometrics Database Release Agreement Multi- Demographic Retouched Faces (MDRF) Data SetBiometrics Database Release Agreement • September 21st, 2022
The goal of our biometrics research is to analyze the effects of retouching on faces from different demographics and test performance of retouching detection algorithms. The Multi-Demographic Retouched Faces (MDRF) database has a total of 3600 images, where 1200 belong to original class and 2400 belong to retouched class; 1200 belong to each of the Caucasian, East Asian, and South Asian classes; and 1800 each to the male and female classes. Human responses to the task of detecting retouching in a subset of these images have also been included. The shared folder includes all the Caucasian images and instructions and resources for the other two origin groups. The University of Notre Dame du Lac (henceforth, “UND”) owns copyright of the biometric images collected at UND and the annotations created at UND, and serves as the source for the UND Biometrics Database.
University of Notre Dame Biometrics Database Release Agreement (Collection VBOLO)Biometrics Database Release Agreement • December 18th, 2021
The goal of our biometrics research is to develop new techniques, technology, and algorithms for the automatic recognition of humans. As part of this research, we are involved in an ongoing effort to collect a database of biometric imagery. The database is 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.
