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@@ -47,8 +47,11 @@ Robust liveness detection requires training on diverse attack vectors, which is
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  - **Balanced gender mix and multi-ethnic representation** (Caucasian, Black, Asian, Latinx)
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  - **Active liveness phases:** fixed, zoom-in, zoom-out
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  ## Full version of the dataset is available for commercial usage. Leave a request on our website [Axonlabs](https://axonlab.ai/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link) to purchase the dataset 💰
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- ## For feedback and additional sample requests, please contact us!
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  ## Attack Types in This Dataset
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  - **Balanced gender mix and multi-ethnic representation** (Caucasian, Black, Asian, Latinx)
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  - **Active liveness phases:** fixed, zoom-in, zoom-out
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+ ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F20109613%2F6432e95d7b7fef1d271457f172e11e0c%2FFrame%20103-3.png?generation=1753867895186569&alt=media)
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+ *Face anti-spoofing dataset — examples of presentation attacks*
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+
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  ## Full version of the dataset is available for commercial usage. Leave a request on our website [Axonlabs](https://axonlab.ai/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link) to purchase the dataset 💰
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+ ## For feedback and additional sample requests, please [contact us](https://axonlab.ai/contact-us/)!
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  ## Attack Types in This Dataset
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