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Annotated Biometric Face Keypoints Data
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About
This collection provides images of human faces paired with precise keypoint labels, forming a critical resource for computer vision and machine learning applications. The data is specifically structured to facilitate the identification and analysis of key points located on the human face, making it ideal for tasks such as facial analysis and face recognition model development. The source material is legally obtained and meticulously organised for rigorous AI training.
Columns
The supporting metadata file contains three columns detailing the data structure:
image_id: Used for linking to corresponding annotations.image_name: The original name of the image file.collage_name: Indicates the corresponding image collage.
Distribution
The primary data format consists of images, where each image within the FKP folder is matched with its key point annotations delivered in an XML file format. These annotation files specify the x and y coordinates for each key point. Furthermore, each key point location includes a
Presumed_Location attribute, clarifying if the position was accurately defined or presumed. The specific facial features labeled include 15 key points, such as the centres of the pupils, corners of the mouth, the centre of the nose, and four points for each eyebrow. The expected update frequency for this dataset is never.Usage
This data is perfectly suited for several applications, including:
- Developing and testing advanced computer vision algorithms.
- Training machine learning models for facial keypoint detection.
- Creating biometric databases and face recognition systems.
- General deep learning applications involving human image analysis.
Coverage
The scope of this collection focuses strictly on human images and videos, providing detailed keypoint annotations for specific features across the human face. The specific 15 labeled key points provide detailed coverage of critical facial areas, including both left and right eyes (three points each), eyebrows (two points each), the nose centre, and four distinct points for the mouth. The key point annotation process is adaptable and can be aligned with specific project requirements.
License
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Who Can Use It
Intended users include data scientists, AI engineers, and researchers working on:
- Biometric data systems and security applications.
- Facial analysis and tracking software development.
- Academic research in deep learning and computer vision.
Dataset Name Suggestions
- Facial Keypoints Detection - Photos & Labels
- Annotated Biometric Face Keypoints Data
- Machine Learning Facial Keypoint Dataset
- Human Face Keypoints for AI Training
Attributes
Original Data Source: Annotated Biometric Face Keypoints Data
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