UniDataPro/anti-spoofing-replay-phone-videos

Anti-spoofing Dataset

The dataset contains 38,029 videos organized into 20,018 paired sets of facial recordings captured on various mobile devices. It provides rich training data for developing and evaluating anti-spoofing algorithms, recognition systems, and liveness detection technologies

By utilizing this dataset, developers and research teams can significantly enhance biometric data quality, improve attacks detection accuracy, and create more secure authentication systems capable of identifying and mitigating spoofs and fake users. - Get the data

The dataset consists of high-quality facial images that capture subtle facial features, ensuring accurate modeling and effective spoofing attacks detection.

"# Frequently Asked Questions

What metadata is available for the recordings?

The dataset includes demographic metadata such as age, gender, and ethnicity, along with technical characteristics of the captured videos. These annotations allow researchers to evaluate model performance across different user groups and analyze whether anti-spoofing systems maintain consistent accuracy across diverse populations.

What video formats are provided?

The dataset includes recordings in both MP4 and MOV formats.

Who can benefit from this biometric anti-spoofing dataset?

The dataset is useful for biometric security researchers, fintech companies, identity verification providers, cybersecurity teams, mobile authentication developers, and AI engineers working on secure access systems. It supports the development of face recognition solutions that need reliable protection against fraudulent presentation attempts."

💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.

Researchers can use this dataset to test and improve anti-spoofing solutions and recognition technology that detects spoofing attempts across multiple attack types.

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