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README.md
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license: cc-by-nc-nd-4.0
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task_categories:
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- video-classification
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tags:
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- ibeta
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- fraud detection
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- face recognition
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- deep learning
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- computer vision
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- pad
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- ' ISO 30107-3'
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- presentation attacks
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- liveness detection
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size_categories:
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- 10K<n<100K
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---
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# iBeta Level 2 Dataset: Presentation Attacks Liveness Detection & Verifications
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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.
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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 -
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**[Get the data](https://unidata.pro/datasets/ibeta-level-2-video-attacks/?utm_source=huggingface&utm_medium=referral&utm_campaign=ibeta-level-2)**
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## 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.
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**Videos in the dataset**:
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1. **Real Person**: real videos of people
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2. **2D Mask**: printed photos of people's faces cut out along the contour
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3. **2D Mask with Eyeholes**: printed photos of people with holes for eyes
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4. **Latex Mask**: latex masks on people
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5. **Wrapped 3D Mask**: 3D cardboard mask attached to a mannequin
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6. **Silicone Mask**: silicone masks on people
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# 💵 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-2-video-attacks/?utm_source=huggingface&utm_medium=referral&utm_campaign=ibeta-level-2) to discuss your requirements and pricing options.
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## Metadata for the dataset
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Devices: **Mi10s, Google Pixel 4, Samsung Galaxy A03s, iPhone 11, iPhone SE 2**
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Resolution: **1920 x 1080** and higher
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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.*
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# 🌐 [UniData](https://unidata.pro/datasets/ibeta-level-2-video-attacks/?utm_source=huggingface&utm_medium=referral&utm_campaign=ibeta-level-2) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects
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