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license: cc-by-nc-nd-4.0
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# iBeta Level 1 Dataset: Facial Liveness Detection and Anti-Spoofing
The dataset consists of more than **28,800** video attacks of **7** different types specifically curated for a passing **iBeta Level 1** 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. 

By geting the **iBeta Level 1 certification**, biometric technology companies demonstrate their commitment to developing robust and reliable biometric systems that can effectively detect and prevent fraud.

## Attacks in the dataset
![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2Fcbfe41005e61c371f8ad6956efdf25e9%2FFrame%20120%20(1).png?generation=1724161454268271&alt=media)
This dataset is designed to evaluate the performance of face recognition and authentication systems in detecting presentation attacks, it includes different pad tests.

Each attack was filmed on an **Apple iPhone** and **Google Pixel**.
1. **2D Mask**: printed photos of people cut out along the contour
2. **Wrapped 2D Mask**: printed photos of people attached to a cylinder
3. **2D Mask with Eyeholes**: printed photos of people with holes for eyes
4. **3D Mask**: portraits consisting of several connected cardboard masks
5. **Smartphone Replay**: a person's photo demonstrated on a phone screen
6. **PC Replay**: a person's photo demonstrated on a computer screen
7. **Real Person**: real videos of people

# 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/ibeta-level-1-video-attacks/?utm_source=huggingface&utm_medium=cpc&utm_campaign=ibeta-level-1) to discuss your requirements and pricing options.

## Metadata for the dataset

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F1b66b204f0375df6f74e385b8aca0420%2FFrame%20123.png?generation=1724169445788884&alt=media)

The iBeta Level 1 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.*

# 🌐 [UniData](https://unidata.pro/datasets/ibeta-level-1-video-attacks/?utm_source=huggingface&utm_medium=cpc&utm_campaign=ibeta-level-1) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects