Commercial

Phone and Webcam Video Dataset

Photos and videos of people taken on a phone and on a webcam under different lighting conditions

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  • Security Training algorithms to recognize situations that can cause harm
  • Anti-spoofing Data in the dataset to train the system to detect a real person in a video
  • Facial Recognition Process of identifying or verify a person identity using facial features
  • Re-identification Process of identifying a specific entity across different data
    1,300+
    videos
    300+
    people

CASE DESCRIPTION

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Each person took 4 videos in which he/she pronounces a set of numbers

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2 videos on the phone on which he pronounces the numbers: the first video: ~30 seconds, second video: ~8 seconds

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2 videos on a webcam on which he pronounces numbers: the first video: ~30 seconds, second video: ~8 seconds

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Application areas of the dataset

  • 01.

    Anti-spoofing:

    Data in the dataset to train the system to detect a real person in a video
  • 02.

    Financial and Access Control Security:

    Dataset can be used to enhances the security of authentication systems used in banking, secure facilities, and other industries that rely on biometric verification
  • 03.

    Biometric Verification:

    Computer vision to detect and authenticate individuals based on their unique physical characteristics, enabling secure access control systems
  • 04.

    Facial Recognition:

    Data in the dataset to develop and assess facial recognition algorithms, enhancing security systems, unlocking devices, and verifying identity

Statistics

Webcam types
Ethnicity distribution
Gender distribution
Phone types

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