Datasets:

AxonData
/

Latex_Mask_dataset

Tasks:

Image Feature Extraction

Image Classification

Video Classification

Modalities:

Languages:

Size:

Tags:

liveness detection

facial recognition

machine learning

Libraries:

License:

Dataset card Data Studio Files Files and versions

AxonData commited on Aug 13

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 # Latex Mask Dataset for Face Anti-Spoofing and Liveness Detection
 Anti spoofing dataset with Latex 3D mask attacks (4 000 videos) for iBeta 2. The Biometric Attack Dataset offers a robust solution for enhancing security in liveness detection systems by simulating 3D latex mask attacks. This dataset is invaluable for assessing and fine-tuning Passive Liveness Detection models, an essential step toward achieving iBeta Level 2 certification. By integrating diverse realistic presentation attacks (PAD), this dataset significantly supports advancements in detecting biometric anti spoofing
-## Full version of dataset is availible for commercial usage - leave a request on our website [Axon Labs](https://axonlabs.pro/) to purchase the dataset 💰
 ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F20109613%2F13e272ef25a2df3dfb3fd3bd86286e6b%2Fdataset-cover.png?generation=1744011001367490&alt=media)

 # Latex Mask Dataset for Face Anti-Spoofing and Liveness Detection
 Anti spoofing dataset with Latex 3D mask attacks (4 000 videos) for iBeta 2. The Biometric Attack Dataset offers a robust solution for enhancing security in liveness detection systems by simulating 3D latex mask attacks. This dataset is invaluable for assessing and fine-tuning Passive Liveness Detection models, an essential step toward achieving iBeta Level 2 certification. By integrating diverse realistic presentation attacks (PAD), this dataset significantly supports advancements in detecting biometric anti spoofing
+## Full version of dataset is availible for commercial usage - leave a request on our website [Axon Labs](https://axonlabs.pro/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link) to purchase the dataset 💰
 ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F20109613%2F13e272ef25a2df3dfb3fd3bd86286e6b%2Fdataset-cover.png?generation=1744011001367490&alt=media)