# Face Anti-Spoofing Based on Deep Learning: A Comprehensive Survey
## 4 Datasets for Face Anti-Spoofing
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**No.** & **Datasets** & **Year** & **Attack Types** & **Model** & **\#Sub** &
\begin{tabular}{c} **\#Live/** **Spoof** \\ **Spoof** \\ \end{tabular} & **Setup** \\ \hline
7 & \begin{tabular}{c} MSU-USSA \\ [49] \\ \end{tabular} & 2016 & \begin{tabular}{c} Print (flat, Replay (laptop, \\ tablet, phone) \\ \end{tabular} & RGB & 1140 & \
\begin{tabular}{c} 1140/ \\ 1920 (I) \\ \end{tabular} &
\begin{tabular}{c} Uncontrolled; two types \\ of cameras \\ \end{tabular} \\
8 & \begin{tabular}{c} HKBU-MV2 \\ [40] \\ \end{tabular} & 2016 & \begin{tabular}{c} Mask (hard resin) from \\ Thastmyface and REAL-f \\ \end{tabular} & RGB & 12 & \
\begin{tabular}{c} 504/ \\ 504 (V) \\ \end{tabular} &
\begin{tabular}{c} Seven cameras from \\ stationary and mobile devices \\ and six lighting settings \\ \end{tabular} \\
9 &
\begin{tabular}{c} OULU-NPU [195] \\ \end{tabular} & 2017 & Print (flat, Replay (phone) & RGB & 55 & 2880 (V) & 3 section \\
10 & \begin{tabular}{c} SiW \\ [196] \\ \end{tabular} & 2018 & Print (flat, wrapped), Replay & RGB & 165 & \
\begin{tabular}{c} 1320/ \\ 3300 (V) \\ \end{tabular} &
\begin{tabular}{c} Four sessions with variations \\ distance, pose, \\ illumination and expression \\ Five front-facing \\ phone camera; \\ \end{tabular} \\
11 & \begin{tabular}{c} Rose- \\ Youtu [115] \\ \end{tabular} & 2018 & \begin{tabular}{c} Print (flat, Replay (monitor, \\ laptop), Mask (paper, \\ crop-paper) \\ \end{tabular} & RGB & 20 & \
\begin{tabular}{c} 500//2850 \\ (V) \\ \end{tabular} &
\begin{tabular}{c} Phone camera; \\ Five different \\ illumination conditions \\ \end{tabular} \\
12 & \begin{tabular}{c} CelebA- \\ Spoof [77] \\ \end{tabular} & 2020 & \begin{tabular}{c} Print (flat, wrapped), Replay \\ (monitor, tablet, phone), \\ Mask (paper), \\ \end{tabular} & RGB & 10,177 & \
\begin{tabular}{c} 6384/ \\ 469,153 (I) \\ \end{tabular} &
\begin{tabular}{c} Four illumination conditions; \\ indoor \& outdoor; \\ rich annotations \\ High-quality \\ identity-preserved; \\ Three decorations and \\ six environments \\ Outdoor environment and \\ low-light \& dynamic sessions \\ three mask decorations; \\ seven recording devices; six \\ lighting conditions \\ \end{tabular} \\
13 & \begin{tabular}{c} CASIA- \\ SURF \\ 3 DMASK [87] \\ \end{tabular} & 2020 & \begin{tabular}{c} Mask (mannequin with \\ 3D print). \\ \end{tabular} & RGB & 48 & \
\begin{tabular}{c} 288/ \\ 864(V) \\ \end{tabular} &
\begin{tabular}{c} Identity-preserved; \\ Three decorations and \\ six environments \\ Outdoor environment and \\ low-light \& dynamic sessions \\ three mask decorations; \\ seven recording devices; six \\ lighting conditions \\ \end{tabular} \\
14 & \begin{tabular}{c} RECOD- \\ MPAD [84] \\ \end{tabular} & 2020 & Print (flat), Replay (monitor). & RGB & 45 & 450/ \\ \multirow{15}{*}{15} & HIFMask [27] & 2021 & \begin{tabular}{c} Mask (transparent, \\ plaster, resin). \\ \end{tabular} & RGB & 75 & \begin{tabular}{c} 13650/ \\ 40,950 (V) \\ \end{tabular} & \begin{tabular}{c} Seven recording devices; six \\ lighting conditions \\ (periodic/random); \\ six scenes \\ \end{tabular} \\ \cline{1-1}  & \begin{tabular}{c} SiW-M \\ [28] \\ \end{tabular} & 2022 & \begin{tabular}{c} Print (flat), Replay, Mask \\ (hard resin, plastic, silicone, \\ paper, Mannequin), Makeup \\ (s cosmetics, impressionation, \\ Christian), Partial (glasses, \\ cut paper). \\ \end{tabular} & RGB & 493 & \
\begin{tabular}{c} 660/ \\ 968 (V) \\ \end{tabular} &
\begin{tabular}{c} Indoor environment with \\ pose, \\ lighting and \\ expression variations \\ \end{tabular} \\
17 & \begin{tabular}{c} SuHEiMask \\ [197] \\ \end{tabular} & 2023 & \begin{tabular}{c} 2D image, Video replay, 3D \\ Mask with materials Resin, \\ Plasticer, Silicence, Paper \\ \end{tabular} & RGB & 101 & \begin{tabular}{c} 10195/ \\ 10,195 (V) \\ \end{tabular} & \begin{tabular}{c} Long distance using \\ surveillance cameras, \\ recording in three scenes, \\ three lighting types, and four \\ types of weather \\ \end{tabular} \\ \cline{1-1}  & \begin{tabular}{c} WFAS \\ [198] \\ \end{tabular} & 2023 & \begin{tabular}{c} Print (newspaper, poster, \\ photo, album, picture book, \\ scan photo, packaging, cloth), \\ Display probe, tablet, TV, \\ Computer), Mask, 3D Model \\ \end{tabular} & RGB & 469,920 & \
\begin{tabular}{c} 529,571/ \\ 853,729 (I) \\ \end{tabular} &
\begin{tabular}{c} Internet, \\ unconstrained settings. \\ \end{tabular} \\
19 & \begin{tabular}{c} SynthASpoof \\ [199] \\ \end{tabular} & 2023 & \begin{tabular}{c} 1 Print, 3 Replay. \\ \end{tabular} & RGB & 25,000 & \
\begin{tabular}{c} 25,000/ \\ 78,800 \\ (IkV) \\ \end{tabular} &
\begin{tabular}{c} **Setup** \\ \end{tabular} \\ \hline \hline \end{tabular}
\end{table}