Commercial

Facial Keypoint Detection

A dataset of photos of people along with labeled keypoints for different parts of human faces

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  • Data annotation The process of identifying objects in photos for training a system to recognize and interpret them
  • Computer Vision The ability to recognize and analyze images and videos
  • Facial Recognition Process of identifying or verify a person identity using facial features
  • Anti-spoofing Data in the dataset to train the system to detect a real person in a video
    5,000+
    photos

CASE DESCRIPTION

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The dataset includes close-up images of faces against different backgrounds

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Each image is accompanied by an XML-annotation indicating the coordinates of the key points

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For each point, the x and y coordinates are provided, and there is a Presumed_Location attribute, indicating whether the point is presumed or accurately defined

Original image
Original image
Labeling of the image
Labeling of the image
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Application areas of the dataset

  • 01.

    Biometric Verification:

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

    Facial Recognition:

    Data in the dataset to develop and assess facial recognition algorithms, enhancing security systems, unlocking devices, and verifying identity
  • 04.

    Augmented and Virtual Reality (AR/VR):

    Enhance user experiences with realistic facial animations in virtual environments.

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