Mobile Data Challenge (MDC) Dataset MDC consists of large quantities of continuous data pertaining to the behaviour of individuals and social networks, recorded via mobile phones from 2009 to 2011 in the Lausanne/Geneva area. About 200 persons participated in the data collecting campaign.
Maya Codex high-quality representation of Maya hieroglyph data, extracted from the three surviving ancient Maya codices (the Dresden, Madrid and Paris codices)
KeyLemon FARGO Dataset The KeyLemon FARGO Dataset is an RGB-D dataset containing recordings of 75 identities which were captured at three different sites during Summer 2016.
Idiap Poster Data The Idiap Poster Data consists of images extracted from 6 hours of videos shot during a poster session.
FV Spoofing Attack The Spoofing-Attack Database for finger vein spoofing consists of 440 index real and fake finger images attempts to 110 clients.
EYEDIAP The EYEDIAP dataset was designed to train and evaluate gaze estimation algorithms from RGB and RGB-D data. It contains a diversity of participants, head poses, gaze targets and sensing conditions.
ERPA Small dataset representing face-image data from 5 subjects. For each subject, images have been captured with two cameras – the Intel Realsense SR300, and the Xenics Gobi thermal (LWIR) camera.
ELEA The corpus was gathered with the aim of analyzing emergent leadership as a social phenomenon that occurs in newly formed groups.
Disco-Annotation Disco-Annotation is a collection of training and test sets with manually annoted discourse relations for 8 English discourse connectives in europarl texts.
DIH: Depth Images with Humans A dataset of depth images of people for the tasks of body pose estimation and body landmark detection in depth images.
DeepfakeTIMIT DeepfakeTIMIT is a database of videos where faces are swapped using the open source GAN-based approach, which, in turn, was developed from the original autoencoder-based Deepfake algorithm.
Mobile Custom Silicone Mask Attack Dataset (CSMAD-Mobile) This dataset consists of face & silicon masks images from 8 different subjects captured with 3 different smartphones.
Custom Silicone Mask Attack Dataset (CSMAD) The Custom Silicone Mask Attack Dataset (CSMAD) contains presentation attacks made of six custom-made silicone masks. Each mask cost about USD 4000. The dataset is designed for face presentation attack detection experiments.
COHFACE The COHFACE dataset contains RGB video sequences of faces, synchronized with heart-rate and breathing-rate of the recorded subjects.
Cursive Character Challenge (CCC) This is the home page of Cursive Character Challenge (C-Cube), the new benchmark for machine learning and pattern recognition algorithms.
AVSpoof Database including 10 types of voice recognition attacks
AREX AMI Requests for Explanations and Relevance Judgments for their Answers.
AMI Meeting Corpus AMI Meeting Corpus is a multi-modal data set consisting of 100 hours of meeting recordings.
3DMAD The 3D Mask Attack Database (3DMAD) is a biometric (face) spoofing database.