The OU-ISIR Gait Database Release AgreementDatabase Release Agreement • September 11th, 2015
The OU-ISIR Gait Database is meant to aid research efforts in the general area of developing, testing and evaluating algorithms for gait-based human identification. The Institute of Scientific and Industrial Research (ISIR), Osaka University (OU) has copyright in the collection of gait video and associated data and serves as a distributor of the OU-ISIR Gait Database.
ROSE Recaptured Image Database Release AgreementDatabase Release Agreement • January 13th, 2021
This database is released for academic research only, and is free to researchers from educational or research institutes for non-commercial purposes. Please read and sign your agreement to the following terms and conditions to get access to this database.
INIT Gait Database Release AgreementDatabase Release Agreement • January 30th, 2018
The aim of the INIT Gait Database is to provide a benchmark to allow the definition of measures of gait regularity and validate their effectiveness over abnormal gait sequences. Institute of New Imaging Technologies (INIT) from University Jaume I has copyright in all collected data and video, and is in charge of the distribution of the database.
Database Release AgreementDatabase Release Agreement • August 1st, 2022
Database Release AgreementDatabase Release Agreement • December 12th, 2007
The image processing and pattern recognition Laboratory (IPPRL) has constructed and collected several databases. the databases are now made partly available for research purpose only on a case-by-case basis only. IPPRL is serving as the technical agent for distribution of the database and reserves the copyright of all the images in the database. Any researcher who requests the databases must sign this agreement and thereby agree to obey the restrictions listed in this document. Failure to observe the restrictions will result in access being denied for the request of the future version of the databases and being subject to civil damages in the case of publication of images that have not been approved for release.
SuHiFiMask DATABASE RELEASE AGREEMENTDatabase Release Agreement • March 12th, 2024
CASIA-SURF SuHiFiMask DATABASE is used for scientific research on face anti-spoofing attack detection. It should be authorized by the Institute of Automation, Chinese Academy of Sciences (CASIA) if anyone or any group is allowed to use this database free of charge.
RWF-2000 Database Release AgreementDatabase Release Agreement • January 27th, 2020
RWF-2000 is a video-based database used for scientific research in violence detection, which is proposed by Speech and Multimodal Intelligent Information Processing Lab (SMIIP Lab) at Duke Kunshan University. It is mainly collected from common multimedia platforms (YouTube, Youku, etc.), and contains 2000 video clips selected from 1000 unique video materials. Anyone or group could use it freely.
DATABASE RELEASE AGREEMENTDatabase Release Agreement • July 1st, 2019
Anyone or group is allowed to use this database for educational or non-commercial purposes, free of charge, with the following rules:
Comprehensive Cars Database Release AgreementDatabase Release Agreement • May 26th, 2015
The Multimedia Lab of Chinese University of Hong Kong has constructed the Comprehensive Cars database (referred to as CompCars in the following text). The aims of the CompCars database include (1) providing a comprehensive platform to validate the effectiveness of a wide range of computer vision algorithms; (2) facilitating a wide range of novel research topics related to “cars”; (3) enabling cross modality research in two scenarios. Therefore, the CompCars database is now made available for research purpose only on a case-by-case basis only. The Multimedia Lab is serving as the technical agent for distribution of the database. Any researcher who requests the CompCars database must sign this agreement and thereby agree to obey the restrictions listed in this document. Failure to observe the restrictions will result in access being denied for the request of the future version of the CompCars database and being subject to civil damages in the case of publication of images that have not b
Database Release Agreement for the TUM Gait from Audio, Image and Depth (GAID) databaseDatabase Release Agreement • April 16th, 2014
The TUM-GAID database is meant to aid research efforts in the general area of developing, testing and evaluating algorithms for gait-based human identification, especially for multimodal gait recognition using audio, image and depth data. The Institute for Human-Machine Communication (MMK), Technische Universität München (TUM) has copyright in the collection of gait video, depth and audio as well as the associated data and serves as a distributor of the TUM GAID database.
Database Release Agreement for the Driver Anomaly Detection (DAD) DatasetDatabase Release Agreement • October 5th, 2020
The DAD dataset is meant to aid research efforts in the general area of developing, testing and evaluating algorithms for driver monitoring applications. The Institute for Human-Machine Communication (MMK), Technische Universität München (TUM) has copyright in the collection of the dataset as well as the associated data and serves as a distributor of the DAD dataset.
University of Notre Dame ND-QO-Flip Database Release AgreementDatabase Release Agreement • November 27th, 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 (UND) owns copyright of the collection of biometric images and serves as the source for distribution of the database known as ND-QO-Flip (henceforth, the “ND-QO-Flip Database”).
USTB Ear Database Release AgreementDatabase Release Agreement • January 16th, 2011
The Ear Recognition program is founded by the National Science Foundation of China (NSFC).University of Science and Technology Beijing (USTB) is 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 ear recognition algorithms. University of Science and Technology Beijing (USTB) owns copyright of the collection of ear images and face profile images and serves as the source for distribution of the USTB ear image database.
AveRobot Database Release AgreementDatabase Release Agreement • March 8th, 2019
AveRobot is a database of videos captured by a set of cameras at different locations in the Computer Science Department building at the University of Las Palmas de Gran Canaria (ULPGC). The aim of the database is to provide a challenging scenario for audio, visual or audio-visual re-identification and verification. To ease the comparison with other approaches the AveRobot database is made available to researchers only by email request. All requests for the AveRobot database must be sent to Javier Lorenzo-Navarro (javier dot lorenzo at ulpgc dot es). To receive the database access, the researcher must sign this document and agree the restrictions listed below. A researcher breaking any restriction may lead to civil damages in the case of publication of images/videos that have not been approved for release, a violation of restriction 2 and 3 below.
The NCKU-VTF Database Release AgreementDatabase Release Agreement • August 31st, 2023
The goal of our research is to develop new techniques, technology, and algorithms for thermal face recognition and analysis. As part of this research, we were involved to collect a visible-thermal paired face database. The database is meant to aid research efforts in the general area of developing, testing and evaluating thermal face recognition. National Cheng Kung University (henceforth, “NCKU”) owns copyright of the collection of images and serves as the source for the NCKU-VTF Database.
USTC-NVIE Database Release AgreementDatabase Release Agreement • June 7th, 2018
The Key Laboratory of Computing and Communication Software of Anhui Province (CCSL) has constructed the USTC-NVIE(Natural Visible and Infrared facial Expression) database under the sponsor of the 863 project of China. The goals to construct the USTC-NVIE database are the followings:
University of Notre Dame ND-QO-Flip Database Release AgreementDatabase Release Agreement • August 27th, 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 database known as ND-QO-Flip (henceforth, the “ND-QO-Flip Database”).
UniAttackData DATABASE RELEASE AGREEMENTDatabase Release Agreement • April 23rd, 2024
UniAttackData DATABASE is used for scientific research. It should be authorized by the Institute of Automation, Chinese Academy of Sciences (CASIA) if anyone or any group is allowed to use this database free of charge.
Oriental Face Database Release AgreementDatabase Release Agreement • August 29th, 2006
The institute of Artificial Intelligence and Robotics (AI&R) of Xi'an Jiaotong University has constructed the oriental face database. The goals to create the oriental face database include (1) developing new techniques, technology, and algorithms for the automatic recognition of human faces; (2) supporting the work of Realistic Human Face Rendering by providing large-scale face images with different sources of variations Viewpoint situation;
Database Release Agreement for the KinectReID Data SetDatabase Release Agreement • March 29th, 2020
The purpose of KinectReID data set is to provide data for testing and evaluating person re-identification algorithms, particularly for multi-modal anthropometric, gait and appearance-based recognition using image, depth and Kinect skeleton tracking data. The Pattern Recognition and Applications Laboratory (PRA Lab) detains copyright of videos and associated data and distributes the KinectReID data set.
