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Human Pose Estimation Biometric Dataset
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About
The data is designed for use in Human Pose Estimation (HPE), with the primary function being to identify and accurately predict the positions of major joints within a human body depicted in an image. The product consists of photographs of people, where specific body parts have been meticulously labeled using a framework of 18 keypoints. This dataset is intended to support the creation and refinement of pose estimation models.
Columns
The data structure pairs image files with corresponding XML annotation files. The annotation file contains the coordinates for each keypoint. For every body part labeled, the following information is supplied:
- x and y coordinates: The spatial location of the keypoint on the image plane.
- Presumed_Location attribute: An indicator confirming whether the point's location was accurately defined by a labeler or if it was presumed.
The labeled body parts correspond to 18 specific keypoints, which are ordered as: Nose, Neck, Right shoulder, Right elbow, Right wrist, Left shoulder, Left elbow, Left wrist, Right hip, Right knee, Right foot, Left hip, Left knee, Left foot, Right eye, Left eye, Right ear, and Left ear.
Distribution
The data is distributed with images stored within a folder designated as PE. Each image is accompanied by an XML annotation file, typically named annotations.xml, which houses the corresponding key point coordinates. The data is suitable for projects requiring processing of both image files and structured XML annotation data. Specific figures detailing the total number of records or images are not available in the current documentation.
Usage
This data is exceptionally useful for developing applications in computer vision and movement analysis. Ideal applications include:
- Training deep learning models for keypoint detection.
- Developing pose recognition and detection algorithms.
- Research into 2D human movements.
- Creating biometric datasets and analytical tools.
The dataset is available for commercial usage; specific requirements and pricing should be discussed via a request submitted to the platform.
Coverage
The scope focuses exclusively on human images annotated with 18 body keypoints. The annotations are structured according to specific requirements for high-quality labeling. Details concerning the geographic origin, temporal range, or demographic breakdown of the subjects in the photographs are not detailed in the provided materials.
License
CC BY-NC-ND 4.0
Who Can Use It
- AI/ML Engineers: Utilising the keypoint annotations to train sophisticated Human Pose Estimation models.
- Academic Researchers: Studying computer vision techniques, biometric data, or human movement patterns.
- Technology Developers: Creating products that rely on accurate pose recognition, such as security systems or fitness trackers.
Dataset Name Suggestions
- Annotated Human Keypoints Database
- 18-Point Body Joint Detection Data
- Human Pose Estimation Biometric Dataset
- Keypoint Labeled People Photographs
Attributes
Original Data Source:Human Pose Estimation Biometric Dataset
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