Table 9.

Tabular representation of various datasets used in countermeasure techniques to handle face identity threats

	Specification of Dataset
Dataset Name	Channel	Pattern (I/V)	Size (Tr/T)	Subjects	Samples	Applicable	Ref.	Source Link
JAFFE	Gray	Image	256×256	10 F	213 Total	Exp (6 basic) frontal face	[10, 103]	https://www.kasrl.org/jaffe_download.html
AR	RGB, Gray	Image	576×468	126 (70M, 56F)	3276 Total	Occ (sunglass, scarf), ill, Exp	[36, 94]	https://www2.ece.ohio-state.edu/~aleix/ARdatabase.html
BU-4DFE	RGB	Image, Video	3D	101 (58F, 43M)	60K Total	Exp (6 Basic)	[154, 171]	https://www.cs.binghamton.edu/~lijun/Research/3DFE/3DFE_Analysis.html
BU-4DFE	RGB	Image, Video	3D	101 (58F, 43M)	60K Total	Exp (6 Basic)	[154, 171]	https://www.cs.binghamton.edu/~lijun/Research/3DFE/3DFE_Analysis.html
FERET	Gray	Images	256×384	30	14,051 Total	ill, Exp, Po, Occ variations	[15, 172]	http://www.itl.mist.gov/iad/humanid/feret/
CK/CK +	Gray	Video(325 clips)	640×480	97(123-CK + )	593 Total in CK +	Exp (6 Basic), non-Occ, frontal face, ill	[142, 172]	https://www.kaggle.com/shawon10/ck-facial-expression-detection/data
The Yale Face	Gray	Images	320×243	15 (14 M, 1 F)	165 Total	ill, Exp	[176, 186]	http://vision.ucsd.edu/datasets/yale_face_dataset_original/
Extended Yale B	Gray	Images	640 × 480	28	16128 Total	Po (9), ill(64)	[46]	http://vision.ucsd.edu/~iskwak/ExtYaleDatabase/ExtYaleB.html
FER-2013	Gray	Images	48×48	NA	35887 Total	Exp (7 universal)	[54]	https://www.kaggle.com/msambare/fer2013
DFW	RGB	Images	400/600	1000	11157 Total	Normal, disguised, and impersonation	[148]	http://iab-rubric.org/DFW/2018.html
BOSPHORUS	RGB, Gray	Images	3D	105	4666 Total	Exp, Occ(facial hair,hand, eyeglass), Po	[32, 154]	http://bosphorus.ee.boun.edu.tr/default.aspx
UMB	RGB	2D, 3D	12, 24, 36, 48 pixels scale	143	1473 Total	4 Exp, Occ (scarf, hat, eyeglass, hand)	[32]	http://www.ivl.disco.unimib.it/minisites/umbdb/
BioID	Gray	Image	384 × 286	23	1521 Total	Synthesized set of eye positions	[172]	https://www.bioid.com/facedb/
EURECOM KFDB	RGB	Images	256×256 Depth	52 (38M, 14F)	427 images	ill, Occ, Exp (9)	[32, 140]	http://rgb-d.eurecom.fr/
EURECOM FCDB	RGB	Makeup, non-makeup	150×140 face	50	389 images	MU	[44]	http://fcd.eurecom.fr/
FaceScrub	RGB	Images	80/20	530 (265M, 265F)	1,07,818 Total	Face alignment, MU and FR	[3]	http://vintage.winklerbros.net/facescrub.html
ORL	Gray	Images	92 × 112	40	400 Total	ill, Occ, Exp	[9, 81]	http://nimfa.biolab.si/nimfa.examples.orl_images.html
NUAA	RGB	Images	640×480	15	5105 valid,7509 PAD	Face artefacts generation, PAD	[26, 138]	http://parnec.nuaa.edu.cn/_upload/tpl/02/db/731/template731/pages/xtan/NUAAImposterDB_download.html
CASIA FASD	RGB	Photo, Video	640×480, 1280×720, 1920×1050	50	600 Total 150 (RA) 450 (SA)	PA, VA	[20, 27]	https://pypi.org/project/bob.db.casia-fasd/
Print attack	RGB	Videos	320×240	50	200 samples	2BG, ill(Controlled, adverse), PAD	[138]	https://www.idiap.ch/en/dataset/printattack
MSU MFSD	RGB	Video Clips	640×480, 720×480	35	280 (P + V)	Reflection, Blurriness, PA,RA	[20, 27]	https://pythonhosted.org/bob.db.msu_mfsd_mod/
Oulu-NPU	RGB	Video Clips	720×480	55 (40M, 15 F)	360(RA), 720 (PA), 720(VA)	Print PA, Replay VA	[123]	https://www.idiap.ch/software/bob/docs/bob/bob.db.oulunpu/master/index.html
REPLAY ATTACK	RGB	Video Clips	320×240	50	1300 (300 (RA), 1000 (SA))	Printed, digital photo, Replayed video for PAD	[151, 178]	https://www.idiap.ch/en/dataset/replayattack
300-VW dataset	RGB	Video Clips	128×128	300	1 minute video (25 - 30 FPS)	Lm	[133]	https://ibug.doc.ic.ac.uk/resources/300-VW/
BP-4D	RGB + Gray	Video clips (431)	1040×1392	41(23 F, 18 M)	Total 2952 (1080)	27 AU, Occ, Po, Exp (8), 2D/3D Lm (83)	[117, 177]	http://www.cs.binghamton.edu/~lijun/Research/3DFE/3DFE_Analysis.html
CMU Multi-PIE	RGB	Images	3072×2048	337	Exp-19, ill-15	profile face, Exp, Occ, Po	[62, 63]	https://www.cs.cmu.edu/afs/cs/project/PIE/MultiPie/Multi-Pie/Home.html
Caltech Faces	Gray	Images	304×312	27	10524 Total	ill, Exp, BG	[51]	http://www.vision.caltech.edu/Image_Datasets/Caltech_10K_WebFaces/
PSFD	RGB	Images	163×131 to 288 × 496	900	Total 1800 (pre/post-surgery)	Texture and structure-based surgery	[71, 149]	http://iiitd.edu.in/iab/Image_Analysis_and_Biometrics_Group/Resources.html
Muct database	RGB	Images	480×640	50	500 Total	Texture-based Plastic surgery	[8]	http://www.milbo.org/muct/
YMU	RGB to gray	Makeup images	128×128	151	Total 600 (with and with-out makeup)	MU, disguised, spoofing, PAD	[25, 26]	http://iprobe.cse.msu.edu/dataset_detail.php?id=3&?title=YouTube_Makeup_Dataset_(YMU)
MIW	RGB	Internet image	Patch 16×16	125	154 (with/without makeup)	MU, disguised, spoofing, PAD	[85]	http://iprobe.cse.msu.edu/dataset_detail.php?id=5&?title=Makeup_in_the_Wild_(MiW)
UND-Twins	RGB	Colored image	Random	435	24050 Total	Identical twins	[82]	https://cvrl.nd.edu/projects/data/#nd-twins-2009-2010
FMD	RGB	Images	Random	Group-based	853	Partial Occ (COVID-19)	[92]	https://www.kaggle.com/andrewmvd/face-mask-detection
FEI	RGB	Images	640×480	200	2800 Total	Po, hairstyle, adorns	[161]	http://fei.edu.br/~cet/facedatabase.html
LFWcrop	RGB, Gray	Images	64×64	1680	13000 Total	Po, scale variations	[64]	https://conradsanderson.id.au/lfwcrop/

Occ-Occlusion, Po-Pose, ill-Illumination, Exp-Expression, AU–Action Unit, Lm-Landmark, BG-Background, M-Male, F-Female, P-Photo, V-Video, PA-Photo Attack, VA-Video Attack, RA- Replay-video Attack, SA- Spoofing Attack, FPS-Frames Per Second, DB-Database, N-Normal, D-Disguised, Im-Impersonator, MU-Makeup, NUAA-Nanjing University of Aeronautics and Astronautics, CASIA FASD-Chinese Academy of Science Face Anti-Spoofing Database, MSU MFSD- Michigan State University-Mobile Face Presentation Attack, YMU-YouTube makeup database, MIW-Makeup in the wild database, DFW-Disguised Faces in the Wild dataset, FMD- Face mask detection dataset, CK- Cohn-Kanade, FEI- Educational Foundation of Ignatius, LFW- Labeled Faces in the Wild, UND- Twins- University of Notre Dame Twins dataset (2009-2010), KFDB-KinectFace DB, FCDB-Facial Cosmetics DB, MUCT-Milborrw University of Cape Town