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README.md ADDED
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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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+ - 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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+
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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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+
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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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+
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+ ## Attacks in the dataset
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+ ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F352f8d1d97a5c1eb03967775f60fdcdb%2FFrame%20126%20(1).png?generation=1725872087101598&alt=media)
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+
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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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+
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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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+
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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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+
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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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+
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+ Resolution: **1920 x 1080** and higher
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+ ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F4ee72191bdbc72d18148ebf79a2bd591%2FFrame%20127.png?generation=1725878560196276&alt=media)
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+
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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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+
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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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ibeta_info.csv ADDED
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+ attack_type,description
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+ latex,attacks with latex masks
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+ outline,printed photos of people cut out along the contour
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+ real,real videos of people
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+ silicone,attacks with silicone masks
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+ wrap3d,cardboard mask attached to a mannequin