README.md

---
license: cc-by-4.0
tags:
  - ibeta-level-1
  - ibeta-certification
  - presentation-attack-detection
  - liveness-detection
  - face-anti-spoofing
  - paper-mask-attack
  - replay-attack
  - spoofing-dataset
  - biometric-security
  - pad-dataset
  - ibeta-dataset
  - anti-spoofing-dataset
  - face-liveness
  - presentation-attack
  - biometric-authentication
task_categories:
  - video-classification
---
# iBeta Level 1 Dataset: Facial Liveness Detection and Anti-Spoofing

## Full version of the dataset is available for commercial usage. Leave a request on our website [Axonlabs](https://axonlabs.pro/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link) to purchase the dataset 💰
## For feedback and additional sample requests, please contact us!

## Dataset Description

The iBeta Level 1 Paper & Replay Attacks Dataset offers a comprehensive collection of presentation attacks (PAD) tailored for iBeta Level 1 testing. Beyond paper-based masks and printouts, it includes a diverse set of replay attacks – photo/video replays on smartphone, and laptop displays under varying brightness levels, distances, and angles—to reflect real-world spoofing scenarios. Designed for researchers and developers working on liveness detection, this dataset provides broad coverage for training and validating anti-spoofing models, delivering end-to-end completeness for iBeta Level 1

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F20109613%2Fe08288fbde67c3508247661be7933a7b%2FFrame-128-2.png?generation=1760347513273643&alt=media)

## Key Features
- **85+ paper-attack participants; 2,500+ selfie contributors for replay**: Engaged in the dataset creation, with a balanced representation of **Caucasian, Black, and Asian** ethnicities
- **Video Capture**: Videos are captured on **iOS and Android phones**, featuring **multiple frames** and **approximately 10 seconds** of video per attack
- **22,000+ Paper Mask Attacks**: Including a variety of attack types such as print and cutout paper masks, cylinder-based attacks to create a volume effect, and 3D masks with volume-based elements (e.g., nose)
- **8k+ replay clips:** Combines different types of devices
- **Active Liveness Testing**: Includes a **zoom-in and zoom-out phase** to simulate **active liveness detection**
- **Variation in Attacks**:
  - Real-life selfies and videos from participants
  - **Print and Cutout Paper Attacks**
  - **Cylinder Attacks** to simulate volume effects
  - **3D Paper Masks** with additional volume elements like the nose and other facial features
  - Paper attacks on actors with **head and eye variations**
  - **Replay attacks:** photos/videos of participants replayed on smartphone screens (iOS/Android) and desktop monitors
  
## Potential Use Cases
This dataset is ideal for training and evaluating models for:
- **Liveness Detection**: Enabling researchers to distinguish between selfies and spoof attacks with high accuracy.
- **iBeta Liveness Testing**: Preparing models for **iBeta** liveness testing, which requires precise spoof detection to meet certification standards.
- **Anti-Spoofing**: Enhancing security in biometric systems by improving detection of paper mask spoofing techniques.
- **Biometric Authentication**: Strengthening facial recognition systems to detect a variety of spoofing attempts.
- **Machine Learning and Deep Learning**: Assisting researchers in developing robust liveness detection models for real-world applications.

## Keywords
- iBeta Certifications
- PAD Attacks
- Presentation Attack Detection
- Antispoofing
- Liveness Detection
- Spoof Detection
- Facial Recognition
- Biometric Authentication
- Security Systems
- AI Dataset
- Paper Mask Attack Dataset
- Anti-Spoofing Technology
- Facial Biometrics
- Machine Learning Dataset
- Deep Learning

## Contact and Feedback
We welcome your feedback! Feel free to reach out to us and share your experience with this dataset. If you're interested, you can also **receive additional samples for free**! 😊

Visit us at [**Axonlabs**](https://axonlab.ai/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link) to request a full version of the dataset for commercial usage.