RECOD Mobile Presentation-Attack Dataset (RECOD-MPAD)

=============
Introduction

The RECOD Mobile Presentation-Attack Dataset (RECOD-MPAD) is intended for the study of presentation attacks (PAs, also known as spoof attempts) to facial recognition systems in mobile devices.
It consists of frames depicting genuine attempts of unlocking a smartphone, as well as two types of presentation attacks: using printouts of the user face; or using electronic displays showing the user's face.

More details can be found in the accompanying paper:
Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function
Waldir R. Almeida, Fernanda A. Andaló, Rafael Padilha, Gabriel Bertocco, William Dias, Ricardo da S. Torres, Jacques Wainer, Anderson Rocha
PLoS ONE, 2020 (https://doi.org/10.1371/journal.pone.0238058)

This dataset was developed as part of a research project at the RECOD lab of the Institute of Computing, University of Campinas, Brazil.

==========
Statistics

Number of users: 45
Men: 30/45
Glasses: 14/45
Beard: 13/45
Age range: 18-50

=============================
Basic metadata and file names

Name format:
____

Label: 
0: real, genuine access attempt
1: printout attack - recaptured indoors
2: printout attack - recaptured outdoors (more light)
3: screen attack - large display (CCE TV)
4: screen attack - medium-sized display (HP monitor)

Device:
1: motog3
2: xt1572

Session:
1: outdoors natural direct light
2: outdoors natural diffuse light/shadow
3: indoors, top main light
4: indoors, side light (sunlight coming through window or door)
5: indoors, low-light / noisy

Example:
1_5_20_00_0050

======================
Additional information

In each sequence, the volunteers followed the same instructions:
- Hold the phone as if using it normally, but keep close-to-frontal viewing angles
- Rotate slowly (to change lighting and background)