UniDataPro/facial-keypoint-detection

Facial Keypoint Detection Dataset

Dataset comprises 5,000+ close-up images of human faces captured against various backgrounds. It is designed to facilitate keypoints detection and improve the accuracy of facial recognition systems. The dataset includes either presumed or accurately defined keypoint positions, allowing for comprehensive analysis and training of deep learning models.

By utilizing this dataset, practitioners can explore various applications in computer vision, including facial analysis and object detection. - Get the data

Example of the keypoints

Each image is meticulously annotated with XML files that provide the coordinates of key facial landmarks.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.

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This extensive collection is invaluable for researchers and developers working on detection methods and recognition algorithms aimed at enhancing facial expressions and expression recognition capabilities, as the inclusion of annotated landmarks enables the development of robust keypoints detectors that can achieve higher accuracy in facial landmark detection tasks.

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