Face mask dataset for facial recognition

This dataset contains over 11,100+ video recordings of people wearing latex masks, captured using 5 different devices.It is designed for liveness detection algorithms, specifically aimed at enhancing anti-spoofing capabilities in biometric security systems.

By utilizing this dataset, researchers can develop more accurate facial recognition technologies, which is crucial for achieving the iBeta Level 2 certification, a benchmark for robust and reliable biometric systems that prevent fraud. - Get the data

Attacks in the dataset

The attacks were recorded in diverse settings, showcasing individuals with various attributes. Each video includes human faces adorned with latex masks to mimic potential spoofing attempts in facial recognition systems.

Variants of backgrounds and attributes in the dataset:

💵 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.

Metadata for the dataset

The dataset focuses on developing robust detection algorithms to accurately identify latex masks during mask detection processes.It can help improve liveness detection systems, which are independently certified by iBeta, an independent laboratory that assesses the reliability of these systems.

🌐 UniData provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects