UniDataPro/face-re-identification-image-dataset

Dataset of face images with different angles and head positions

Dataset contains 23,110 individuals, each contributing 28 images featuring various angles and head positions, diverse backgrounds, and attributes, along with 1 ID photo. In total, the dataset comprises over 670,000 images in formats such as JPG and PNG. It is designed to advance face recognition and facial recognition research, focusing on person re-identification and recognition systems.

By utilizing this dataset, researchers can explore various recognition applications, including face verification, face identification. - Get the data

Metadata for the dataset

The accuracy of labels of face pose is more than 97%, ensuring reliable data for training and testing recognition algorithms.

Frequently Asked Questions

What types of files are included in each data sample?

Each sample consists of a paired set containing one facial image and one live video of the same participant.

How was the data collected?

The dataset was collected through crowdsourcing platforms, allowing recordings to be gathered from a large number of participants across multiple countries.

Who can benefit from this face anti-spoofing dataset?

The dataset is valuable for biometric security companies, fintech providers, digital identity platforms, AI researchers, universities, and cybersecurity teams. It supports the development of secure facial authentication systems, presentation attack detection, identity verification, and computer vision applications.

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Dataset includes high-quality images that capture human faces in different poses and expressions, allowing for comprehensive analysis in recognition tasks. It is particularly valuable for developing and evaluating deep learning models and computer vision techniques.

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