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TrainingDataPro
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2d-masks-presentation-attack-detection

Tasks:

Image Classification

Languages: English

Tags: code

License: cc-by-nc-nd-4.0

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user string	real_1 string	real_2 string	real_3 string	real_4 string	mask_1 string	mask_2 string	mask_3 string	mask_4 string	cut_1 string	cut_2 string	cut_3 string	cut_4 string
"user004"	"user004/real_1.mp4"	"user004/real_2.mp4"	"user004/real_3.MOV"	"user004/real_4.MOV"	"user004/mask_1.mp4"	"user004/mask_2.mp4"	"user004/mask_3.MOV"	"user004/mask_4.MOV"	"user004/cut_1.mp4"	"user004/cut_2.MOV"	"user004/cut_3.MOV"	"user004/cut_4.mp4"
"user020"	"user020/real_1.mp4"	"user020/real_2.mp4"	"user020/real_3.MOV"	"user020/real_4.MOV"	"user020/mask_1.mp4"	"user020/mask_2.mp4"	"user020/mask_3.MOV"	"user020/mask_4.MOV"	"user020/cut_1.mp4"	"user020/cut_2.mp4"	"user020/cut_3.MOV"	"user020/cut_4.MOV"
"user087"	"user087/real_1.mp4"	"user087/real_2.mp4"	"user087/real_3.mp4"	"user087/real_4.mp4"	"user087/mask_1.mp4"	"user087/mask_2.mp4"	"user087/mask_3.mp4"	"user087/mask_4.mp4"	"user087/cut_1.mp4"	"user087/cut_2.mp4"	"user087/cut_3.mp4"	"user087/cut_4.mp4"
"user088"	"user088/real_1.mp4"	"user088/real_2.mp4"	"user088/real_3.mp4"	"user088/real_4.mp4"	"user088/mask_1.mp4"	"user088/mask_2.mp4"	"user088/mask_3.mp4"	"user088/mask_4.mp4"	"user088/cut_1.mp4"	"user088/cut_2.mp4"	"user088/cut_3.mp4"	"user088/cut_4.mp4"
"user089"	"user089/real_1.mp4"	"user089/real_2.mp4"	"user089/real_3.MOV"	"user089/real_4.MOV"	"user089/mask_1.mp4"	"user089/mask_2.MOV"	"user089/mask_3.MOV"	"user089/mask_4.mp4"	"user089/cut_1.mp4"	"user089/cut_2.MOV"	"user089/cut_3.MOV"	"user089/cut_4.mp4"
"user091"	"user091/real_1.mp4"	"user091/real_2.mp4"	"user091/real_3.MOV"	"user091/real_4.mp4"	"user091/mask_1.MOV"	"user091/mask_2.mp4"	"user091/mask_3.mp4"	"user091/mask_4.mp4"	"user091/cut_1.mp4"	"user091/cut_2.mp4"	"user091/cut_3.mp4"	"user091/cut_4.MOV"
"user094"	"user094/real_1.MOV"	"user094/real_2.mp4"	"user094/real_3.MOV"	"user094/real_4.mp4"	"user094/mask_1.mp4"	"user094/mask_2.MOV"	"user094/mask_3.MOV"	"user094/mask_4.mp4"	"user094/cut_1.MOV"	"user094/cut_2.mp4"	"user094/cut_3.mp4"	"user094/cut_4.MOV"
"user095"	"user095/real_1.mp4"	"user095/real_2.mp4"	"user095/real_3.mp4"	"user095/real_4.mp4"	"user095/mask_1.mp4"	"user095/mask_2.mp4"	"user095/mask_3.mp4"	"user095/mask_4.mp4"	"user095/cut_1.mp4"	"user095/cut_2.mp4"	"user095/cut_3.mp4"	"user095/cut_4.mp4"
"user096"	"user096/real_1.mp4"	"user096/real_2.mp4"	"user096/real_3.mp4"	"user096/real_4.mp4"	"user096/mask_1.mp4"	"user096/mask_2.mp4"	"user096/mask_3.mp4"	"user096/mask_4.mp4"	"user096/cut_1.mp4"	"user096/cut_2.mp4"	"user096/cut_3.mp4"	"user096/cut_4.mp4"
"user101"	"user101/real_1.MOV"	"user101/real_2.mp4"	"user101/real_3.MOV"	"user101/real_4.mp4"	"user101/mask_1.MOV"	"user101/mask_2.MOV"	"user101/mask_3.mp4"	"user101/mask_4.mp4"	"user101/cut_1.mp4"	"user101/cut_2.MOV"	"user101/cut_3.mp4"	"user101/cut_4.MOV"
"user104"	"user104/real_1.MOV"	"user104/real_2.MOV"	"user104/real_3.mp4"	"user104/real_4.mp4"	"user104/mask_1.mp4"	"user104/mask_2.MOV"	"user104/mask_3.mp4"	"user104/mask_4.MOV"	"user104/cut_1.MOV"	"user104/cut_2.MOV"	"user104/cut_3.mp4"	"user104/cut_4.mp4"
"user113"	"user113/real_1.MOV"	"user113/real_2.MOV"	"user113/real_3.mp4"	"user113/real_4.mp4"	"user113/mask_1.MOV"	"user113/mask_2.MOV"	"user113/mask_3.mp4"	"user113/mask_4.mp4"	"user113/cut_1.MOV"	"user113/cut_2.MOV"	"user113/cut_3.mp4"	"user113/cut_4.mp4"
"user114"	"user114/real_1.mp4"	"user114/real_2.MOV"	"user114/real_3.MOV"	"user114/real_4.MOV"	"user114/mask_1.MOV"	"user114/mask_2.MOV"	"user114/mask_3.MOV"	"user114/mask_4.MOV"	"user114/cut_1.MOV"	"user114/cut_2.mp4"	"user114/cut_3.MOV"	"user114/cut_4.MOV"
"user115"	"user115/real_1.mp4"	"user115/real_2.mp4"	"user115/real_3.mp4"	"user115/real_4.mp4"	"user115/mask_1.mp4"	"user115/mask_2.mp4"	"user115/mask_3.mp4"	"user115/mask_4.mp4"	"user115/cut_1.mp4"	"user115/cut_2.mp4"	"user115/cut_3.mp4"	"user115/cut_4.mp4"
"user117"	"user117/real_1.mp4"	"user117/real_2.mp4"	"user117/real_3.mp4"	"user117/real_4.mp4"	"user117/mask_1.mp4"	"user117/mask_2.mp4"	"user117/mask_3.mp4"	"user117/mask_4.mp4"	"user117/cut_1.mp4"	"user117/cut_2.mp4"	"user117/cut_3.mp4"	"user117/cut_4.mp4"
"user118"	"user118/real_1.mp4"	"user118/real_2.MOV"	"user118/real_3.mp4"	"user118/real_4.MOV"	"user118/mask_1.mp4"	"user118/mask_2.MOV"	"user118/mask_3.MOV"	"user118/mask_4.mp4"	"user118/cut_1.MOV"	"user118/cut_2.mp4"	"user118/cut_3.MOV"	"user118/cut_4.mp4"
"user120"	"user120/real_1.mp4"	"user120/real_2.MOV"	"user120/real_3.mp4"	"user120/real_4.MOV"	"user120/mask_1.MOV"	"user120/mask_2.mp4"	"user120/mask_3.mp4"	"user120/mask_4.mp4"	"user120/cut_1.MOV"	"user120/cut_2.MOV"	"user120/cut_3.MOV"	"user120/cut_4.mp4"

2D Masks Presentation Attack Detection

The dataset consists of videos of individuals wearing printed 2D masks or printed 2D masks with cut-out eyes and directly looking at the camera. Videos are filmed in different lightning conditions and in different places (indoors, outdoors). Each video in the dataset has an approximate duration of 2 seconds.

Types of videos in the dataset

real - 4 videos of the person without a mask.
mask - 4 videos of the person wearing a printed 2D mask.
cut - 4 videos of the person wearing a printed 2D mask with cut-out holes for eyes.

People in the dataset wear different accessorieses, such as glasses, caps, scarfs, hats and masks. Most of them are worn over a mask, however glasses and masks can be are also printed on the mask itself.

The dataset serves as a valuable resource for computer vision, anti-spoofing tasks, video analysis, and security systems. It allows for the development of algorithms and models that can effectively detect attacks perpetrated by individuals wearing printed 2D masks.

Studying the dataset may lead to the development of improved security systems, surveillance technologies, and solutions to mitigate the risks associated with masked individuals carrying out attacks.