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.gitattributes

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3D Mask Attack.csv

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+3;files/3.mp4
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+5;files/5.mp4
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README.md

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+---
+license: cc-by-nc-nd-4.0
+task_categories:
+- video-classification
+tags:
+- people
+- mask
+- computer vison
+- facial recognition
+- verification
+- cyber security
+size_categories:
+- 1K<n<10K
+---
+# 3D Mask Attack for detection methods
+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.
+
+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)**
+## Attacks in the dataset
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F9285679c599b165bba3e5e37291175e4%2FFrame%20168.png?generation=1731895573047353&alt=media)
+# 💵 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.
+Researchers can utilize this dataset to explore detection technology and recognition algorithms that aim to prevent impostor attacks and improve authentication processes.
+## Metadata for the dataset
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2Faa4f1e847d71d64507b1009754d64464%2FFrame%20136.png?generation=1731895801179302&alt=media)
+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.
+# 🌐 [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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