Datasets:
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# 3D Mask Attack for detection methods
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Dataset comprises **3,500+** videos captured using **5** different devices, featuring individuals holding photo fixed on cylinder designed to simulate potential presentation attacks against **facial recognition** systems. It supports research in attack detection and improves **spoofing detection** techniques, specifically for fraud prevention and compliance with **iBeta Level 1 certification** standards.
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By utilizing this dataset, researchers can enhance **liveness detection** and improve face presentation techniques, ultimately contributing to more robust **biometric security** measures. - **[Get the data](https://unidata.pro/datasets/printed-3d-masks-attacks/?utm_source=huggingface&utm_medium=
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## Attacks in the dataset
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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/printed-3d-masks-attacks/?utm_source=huggingface&utm_medium=
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Researchers can utilize this dataset to explore detection technology and recognition algorithms that aim to prevent impostor attacks and improve authentication processes.
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## Metadata for the dataset
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This dataset serves as a crucial tool for enhancing liveness detection technologies and developing effective anti-spoofing algorithms, which are essential for maintaining the integrity of biometric verification processes.
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# 🌐 [UniData](https://unidata.pro/datasets/printed-3d-masks-attacks/?utm_source=huggingface&utm_medium=
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# 3D Mask Attack for detection methods
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Dataset comprises **3,500+** videos captured using **5** different devices, featuring individuals holding photo fixed on cylinder designed to simulate potential presentation attacks against **facial recognition** systems. It supports research in attack detection and improves **spoofing detection** techniques, specifically for fraud prevention and compliance with **iBeta Level 1 certification** standards.
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By utilizing this dataset, researchers can enhance **liveness detection** and improve face presentation techniques, ultimately contributing to more robust **biometric security** measures. - **[Get the data](https://unidata.pro/datasets/printed-3d-masks-attacks/?utm_source=huggingface&utm_medium=referral&utm_campaign=3d-mask-attack)**
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## Attacks in the dataset
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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/printed-3d-masks-attacks/?utm_source=huggingface&utm_medium=referral&utm_campaign=3d-masks-attacks) to discuss your requirements and pricing options.
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Researchers can utilize this dataset to explore detection technology and recognition algorithms that aim to prevent impostor attacks and improve authentication processes.
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## Metadata for the dataset
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This dataset serves as a crucial tool for enhancing liveness detection technologies and developing effective anti-spoofing algorithms, which are essential for maintaining the integrity of biometric verification processes.
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# 🌐 [UniData](https://unidata.pro/datasets/printed-3d-masks-attacks/?utm_source=huggingface&utm_medium=referral&utm_campaign=3d-masks-attacks) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects
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