Datasets:
license: cc-by-nc-nd-4.0
task_categories:
- video-classification
tags:
- video
- computer vision
- people
- verification
- cyber security
- facial recognition
- mask
size_categories:
- 10K<n<100K
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:
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Metadata for the dataset
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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.