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Printed 2D Masks with Holes for Eyes Attacks Dataset

The dataset consists of selfies of people and videos of them wearing a printed 2d mask with their face. The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems.

The dataset includes: attacks - videos of people wearing printed portraits of themselves with cut-out eyes.

The dataset includes 2 different types of files:

  • Photo - a selfie of a person from a mobile phone, the person is depicted alone on it, the face is clearly visible.
  • Video - filmed on the front camera, on which a person moves his/her head left, right, up and down. Duration of the video is from 10 to 20 seconds. On the video, a person is wearing a printed 2d mask made from the corresponding photo from the "photo" folder.

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Content

File with the extension .csv

includes the following information for each media file:

  • photo: link to access the photo,
  • attack: link to access the attack video,
  • phone: the device used to capture the replay video,
  • computer: the device used to play the video,
  • gender: gender of a person in the video,
  • age: age of the person in the video,
  • country: country of the person

**TrainingData**

More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets

TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets

keywords: ibeta level 1, ibeta level 2, liveness detection systems, liveness detection dataset, biometric dataset, biometric data dataset, biometric system attacks, anti-spoofing dataset, face liveness detection, deep learning dataset, face spoofing database, face anti-spoofing, face recognition, face detection, face identification, human video dataset, video dataset, presentation attack detection, presentation attack dataset, 2d print attacks, print 2d attacks dataset, cut prints spoof attack

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