Dataset Viewer

The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider removing the loading script and relying on automated data support (you can use convert_to_parquet from the datasets library). If this is not possible, please open a discussion for direct help.

Antispoofing Replay Dataset

The dataset consists of videos of replay attacks played on different models of MacBooks. The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems.

The dataset includes: replay attacks - videos of real people played on a computer and filmed on the phone.

Get the dataset

This is just an example of the data

Leave a request on https://trainingdata.pro/datasets to discuss your requirements, learn about the price and buy the dataset.

Content

The folder "attacks" includes videos of replay attack

Models of MacBooks in the datset:

  • MacBook 13
  • MacBook Air
  • MacBook Air 7
  • MacBook Air 11
  • MacBook Air 13
  • MacBook Air M1
  • MacBook Pro 12
  • MacBook Pro 13

File with the extension .csv

includes the following information for each media file:

  • file: link to access the replay 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, video replay attack, replay attack dataset, replay attack database, replay mobile dataset, video attack attempts, face spoofing database, face anti-spoofing, face recognition, face detection, face identification, human video dataset, video classification dataset, macbooks, apple, attacks classification, security of personal data, fraud detection, fraud recognition, large-scale face anti spoofing, rich annotations anti spoofing dataset, display spoof attack

Downloads last month
101