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--- |
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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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- anti-spoofing |
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- ibeta |
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- biometrics |
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- face_recognition |
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- pad |
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- authentication |
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- security |
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- fraud |
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size_categories: |
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- 10K<n<100K |
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--- |
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# iBeta Level 1 Dataset: Facial Liveness Detection and Anti-Spoofing |
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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. |
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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 - |
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**[Get the data](https://unidata.pro/datasets/ibeta-level-1-video-attacks/?utm_source=huggingface&utm_medium=cpc&utm_campaign=ibeta-level-1).** |
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## Attacks in the dataset |
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This dataset is designed to evaluate the performance of face recognition and authentication systems in detecting presentation attacks, it includes different pad tests. |
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Each attack was filmed on an **Apple iPhone** and **Google Pixel**. |
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1. **2D Mask**: printed photos of people cut out along the contour |
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2. **Wrapped 2D Mask**: printed photos of people attached to a cylinder |
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3. **2D Mask with Eyeholes**: printed photos of people with holes for eyes |
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4. **3D Mask**: portraits consisting of several connected cardboard masks |
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5. **Smartphone Replay**: a person's photo demonstrated on a phone screen |
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6. **PC Replay**: a person's photo demonstrated on a computer screen |
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7. **Real Person**: real videos of 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-1-video-attacks/?utm_source=huggingface&utm_medium=cpc&utm_campaign=ibeta-level-1) to discuss your requirements and pricing options. |
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## Metadata for the dataset |
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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.* |
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# 🌐 [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 |
