iBeta Level 3 Dataset
10,000+ videos from 12+ mask attacks across two mask types,
tailored for iBeta Level 3 certification
Check samples on Kaggle
Train for the newest iBeta Level 3 today
The iBeta Level 3 Dataset is the most comprehensive collection of advanced 3D mask attacks built specifically for iBeta Level 3 certification. It combines two distinct attack categories — high-fidelity rubber masks and custom 3D resin masks — giving your PAD system exposure to the full spectrum of presentation attacks required at the highest certification level
Each attack type brings unique challenges: rubber masks test against flexible, skin-like textures with natural movement, while resin masks challenge systems with rigid, high-precision facial replicas. Together, they cover the complete threat landscape your model will face during iBeta Level 3 evaluation
Dataset summary
- Dataset Size: ~10,000 videos across 12+ mask identities
Real face references: Includes videos of original faces from which resin masks were manufactured
Active liveness features: Zoom-in/zoom-out, head tilts, left/right rotation, natural head movements
Attributes: Different hairstyles, glasses, and accessories to enhance diversity
- Variability: Multiple indoor locations with different lighting conditions
Recording: Front-facing (selfie) camera; back camera available for select masks with multiple angles
Why this dataset?
- Two mask types, one dataset. Rubber and resin masks produce fundamentally different artefacts. Training on both eliminates blind spots that single-type datasets leave open
- Built for iBeta Level 3 difficulty. Active zoom-in/zoom-out prompts and high-fidelity PAD scenarios aligned to the newest certification level with tighter APCER/BPCER/ACER limits
- Dual-recording methodology. Real face videos paired with corresponding mask attack videos of the same individuals — enabling direct comparison and stronger model training
- First to market & growing. Actively expanding — start preparing today and stay ahead as the standard evolves
What's Inside
High-Fidelity Rubber Masks
Advanced 3D rubber masks with realistic skin-like texture and flexibility. These masks allow natural facial movement, making them particularly challenging for active liveness checks. 7 unique mask identities with diverse attributes
3D Resin Masks
Custom-manufactured resin masks designed to replicate specific individuals’ facial features with high geometric precision. Rigid structure with fine detail — a different challenge profile from rubber masks. 5+ unique mask identities with dual-recording (real face + mask)
Use Cases and Applications
iBeta Level 3 Certification Compliance
- Train models specifically for iBeta Level 3 certification tests across multiple attack types
- Pre-certification testing to assess system performance before submission
- Cover both active and passive liveness testing requirements
In-house Liveness Detection Models
- Training and validation of anti-spoofing models against diverse mask materials
- Testing existing algorithms to identify vulnerabilities against rubber and resin mask attacks
- Benchmarking PAD performance across different attack categories
Learn the iBeta 3 context
iBeta Level 3 introduces stricter requirements: mandatory active liveness (zoom in/out), realistic high-fidelity mask attacks, and tighter APCER/BPCER/ACER limits. For implementation details and a practical checklist, see our: iBeta Level 3 guide
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
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 attack videos with targeted movements (zoom in/zoom out, specific gestures)
- Filming attack videos on target devices (webcams, specific phone models)
- Using your SDK for custom attack scenarios spoofing your ML model
- RGB and USB camera support for diverse research and testing needs
- Multi-angle recordings (close-up, far, left, right) available for select masks
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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Didn't find what you were looking for?
Our collection includes many datasets for various requests
iBeta Level 1 Dataset
– 35,000+ videos
– 85+ participants
– zoom in and
zoom out
iBeta Level 2 Dataset
– 25 000+ videos
– 3D masks
– iBeta Level 2
iBeta Level 3 Dataset
– 10,000+ videos
– 12 Unique Masks
– iBeta Level 3
Display Replay Dataset for Liveness Detection
– 9,000+ videos
– 6,500+ participants
– Balanced mix of genders and ethnicities
