Silicone Mask Dataset

Silicone Mask dataset

There are >10K videos from 18 Silicone mask attacks tailored 

for iBeta level 2 certification

Check samples on Kaggle

Successfull Spoofing attack on a Liveness test by Doubango 

Introduction

Silicone Mask Biometric Attack Dataset offers a robust solution for enhancing security in liveness detection systems by simulating 3D silicone mask attacks. This dataset is invaluable for assessing and fine-tuning Passive Liveness Detection models, an essential step toward achieving iBeta Level 2 certification. By integrating diverse realistic presentation attacks (PAD), this dataset significantly supports advancements in detecting biometric anti spoofing

Dataset summary

  • Dataset Size: ~10,000 videos demonstrating various spoofing attacks; 18 high-detail silicone masks
  • Active Liveness Features:  Includes natural head movements and blinking to enhance training scenarios
  • Attributes: Different hairstyles, glasses, wigs and beards to enhance diversity, ~40 combinations of attributes 
  • Variability: 4 office spaces, 4 home apartments and 2 outdoor locations. 3 Types of Lighting: Low, Medium, Bright
  • Main Applications:  Preparation for iBeta Level 2 certification, Active and passive liveness for anti spoofing systems 
  • This dataset can be integrated into bundles

Samples of Indoor video attacks:

Samples of Outdoor video attacks:

Structure of the dataset with 18 Silicone masks

Source and collection methodology

The videos capture realistic spoofing conditions using different recording devices and variety of environments. Additionally, the dataset simulates common interactions like head movements and blinking, adding to its effectiveness in active liveness detection. The videos were shot using a front-facing (selfie) camera

Models of recording devices:

  • IOS: iPhone 14, iPhone 14 Pro, iPhone 13 Pro
  • Android: Galaxy S23, Xiaomi Redmi Note 12 Pro+, Galaxy A54, Pixel 7, Honor 70

Use cases and applications

iBeta Level 2 Certification Compliance: 

  • Helps to train the models for iBeta level 2 certification tests
  • Allows pre-certification testing to assess system performance before submission

Inhouse Liveness Detection Models: 

  • Used for training and validation of anti-spoofing models
  • Enables testing of existing algorithms and identification of their vulnerabilities against spoofing attacks

See how this dataset was used to achieve iBeta Level 2 certification click here

Who is this for?

  • AI/ML teams – Train custom anti-spoofing models for security applications
  • Identity verification providers – Ensure fraud prevention in KYC & financial services
  • Financial institutions – Implement internal e-KYC solutions 

“This dataset helped us achieve iBeta Level 2 compliance 30% faster!” – AI Security Lead

File format and accessibility

  • Format: Videos are optimized for compatibility with mainstream ML frameworks
  • Resolution and frame rate: Videos are high-resolution with frame rates calibrated for capturing quick and realistic mask placements, ensuring precise data for model training

Potential customisation options:

  • Filming videos attacks with targeted movements (E.g. – Zoom In / Zoom Out)
  • Filming videos attacks for you on target devices (for example, webcams)
  • Using your SDK for custom attack scenarios spoofing your ML model
  • Use RGB and USB cameras to support diverse research and testing needs
  • For two masks, video recordings are available from the back camera, capturing multiple angles (close-up, far, left, and right)

Other Datasets for iBeta 2:

Legal & Compliance

We prioritize data privacy, ethical AI development, and regulatory compliance. Our Silicone Mask Attack Dataset is collected and processed in full accordance with global data protection standards including GDPR, ensuring legality, security, and responsible AI practices

Sample dataset

A sample version of this dataset is available on Kaggle. Leave a request for additional samples in the form below

Have a question?

We collect data from our internal team. All information is further verified by our specialists

Once your enquiry has been sent, we will contact you to discuss the details and complete the necessary paperwork. The timing of receiving the dataset depends on the specific request and additional requirements

Our unique selling point is to provide legally clean datasets to our customers. We obtain the consent from all the participants to use their data for AI model development. We are able to provide comprensive reporting on the licensing, data collection and privacy compliance of our datasets. Although there seems to be a diverse response to how to control AI development and deployment, we are able to service global customers seeking to launch global AI products.

The dataset follows iBeta testing protocols and includes diverse attack scenarios that mirror real-world spoofing attempts. It covers both passive and active liveness testing requirements with proper demographic representation and standardized capture conditions essential for certification preparation

The price depends on your specific requirements. Please submit a request to receive a free consultation

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