UniDataPro/face-recognition-image-dataset

Image Dataset of face images for compuer vision tasks

Dataset comprises 500,600+ images of individuals representing various races, genders, and ages, with each person having a single face image. It is designed for facial recognition and face detection research, supporting the development of advanced recognition systems.

By leveraging this dataset, researchers and developers can enhance deep learning models, improve face verification and face identification techniques, and refine detection algorithms for more accurate recognizing faces in real-world scenarios. - Get the data

Metadata for the dataset

All images come with rigorously verified metadata annotations (age, gender, ethnicity), achieving ≥95% labeling accuracy. Also images are captured under different lighting conditions and resolutions, enhancing the dataset's utility for computer vision tasks and image classifications.

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Researchers can leverage this dataset to improve recognition technology and develop learning models that enhance the accuracy of face detections. The dataset also supports projects focused on face anti-spoofing and deep learning applications, making it an essential tool for those studying biometric security and liveness detection technologies.

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