Datasets:
license: cc-by-nc-nd-4.0
task_categories:
- video-classification
tags:
- ibeta
- fraud detection
- face recognition
- deep learning
- computer vision
- pad
- ' ISO 30107-3'
- presentation attacks
- liveness detection
size_categories:
- 10K<n<100K
iBeta Level 2 Dataset: Presentation Attacks Liveness Detection & Verifications
The dataset consists of more than 32,300 spoofing attacks of 6 different types specifically curated for a passing iBeta Level 2 and getting a certification. It is compliant with the ISO 30107-3 standard, which sets the highest quality requirements for biometric testing and attack detection solutions.
By geting the iBeta Level 2 certification, biometric technology companies demonstrate their commitment to developing robust and reliable biometric systems that can effectively detect and prevent fraud - Get the data
Attacks in the dataset
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This dataset is designed to evaluate the performance of biometric authentication and identity recognition technology in detecting presentation attacks, it includes different pad tests.
Videos in the dataset:
- Real Person: real videos of people
- 2D Mask: printed photos of people's faces cut out along the contour
- 2D Mask with Eyeholes: printed photos of people with holes for eyes
- Latex Mask: latex masks on people
- Wrapped 3D Mask: 3D cardboard mask attached to a mannequin
- Silicone Mask: silicone masks on people
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Metadata for the dataset
Devices: Mi10s, Google Pixel 4, Samsung Galaxy A03s, iPhone 11, iPhone SE 2
Resolution: 1920 x 1080 and higher
The iBeta Level 2 dataset is an essential tool for the biometrics industry, as it helps to ensure that biometric systems meet the highest standards of anti-spoofing technology. This dataset is used by various biometric companies in various applications and products to test and improve their biometric authentication solutions, face recognition systems and facial liveness detection methods.