Datasets:

AxonData
/

3d_cloth_face_mask_spoofing_dataset

@@ -23,7 +23,7 @@ task_categories:
 # Textile 3D Face Mask Attack Dataset
 This Dataset is specifically designed to enhance Face Anti-Spoofing and Liveness Detection models by simulating Nylon Mask Attacks — an accessible alternative to expensive silicone and latex mask datasets. These attacks utilize thin elastic fabric masks worn like a balaclava, featuring printed facial images that conform to the wearer's head shape through textile elasticity. The dataset is particularly valuable for PAD model training and iBeta Level 1-2 certification testing
-##Dataset Features
 - **Dataset Size:** ~3k videos shoot on 30 IDs demonstrating various spoofing attacks
 - **Active Liveness Features:**  Includes zoom-in, zoom-out, and right/left rotation, head tilt to enhance training scenarios
 - **Attributes:** Different hairstyles, glasses, wigs and beards to enhance diversity
@@ -32,7 +32,7 @@ This Dataset is specifically designed to enhance Face Anti-Spoofing and Liveness
 ## Full version of dataset is availible for commercial usage - leave a request on our website [Axonlabs ](https://axonlabs.pro/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link)to purchase the dataset 💰
-##Simplified Alternative to Silicone and Latex Masks
 Modern Face Recognition and Liveness Detection systems remain vulnerable to 3D presentation attacks using silicone masks and latex face masks. However, these premium spoofing materials require expensive manufacturing processes and specialized equipment, limiting their accessibility
 Textile 3D Face Mask Attack Dataset addresses this gap by providing cost-effective presentation attack scenarios using elastic textile masks — a budget-friendly alternative to existing premium datasets:
@@ -43,8 +43,8 @@ Textile 3D Face Mask Attack Dataset addresses this gap by providing cost-effecti
 Elastic textile technology enables partial facial geometry mimicking through material stretching and contour adaptation, while maintaining simple DIY manufacturing and widespread material availability
-##Best Uses
 This dataset is ideal for entities striving to meet or exceed iBeta Level 2 certification. By integrating this dataset, organizations can greatly enhance the training effectiveness of anti-spoofing algorithms, ensuring a robust and accurate performance in practical scenarios
-##Conclusion
 With its comprehensive features and simulation of real attack scenarios, the Textile 3D Face Mask Attack Dataset is indispensable for anyone involved in developing and certifying facial recognition and liveness detection technologies. Utilize this dataset to strengthen your systems against the most deceptive digital security threats

 # Textile 3D Face Mask Attack Dataset
 This Dataset is specifically designed to enhance Face Anti-Spoofing and Liveness Detection models by simulating Nylon Mask Attacks — an accessible alternative to expensive silicone and latex mask datasets. These attacks utilize thin elastic fabric masks worn like a balaclava, featuring printed facial images that conform to the wearer's head shape through textile elasticity. The dataset is particularly valuable for PAD model training and iBeta Level 1-2 certification testing
+## Dataset Features
 - **Dataset Size:** ~3k videos shoot on 30 IDs demonstrating various spoofing attacks
 - **Active Liveness Features:**  Includes zoom-in, zoom-out, and right/left rotation, head tilt to enhance training scenarios
 - **Attributes:** Different hairstyles, glasses, wigs and beards to enhance diversity
 ## Full version of dataset is availible for commercial usage - leave a request on our website [Axonlabs ](https://axonlabs.pro/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link)to purchase the dataset 💰
+## Simplified Alternative to Silicone and Latex Masks
 Modern Face Recognition and Liveness Detection systems remain vulnerable to 3D presentation attacks using silicone masks and latex face masks. However, these premium spoofing materials require expensive manufacturing processes and specialized equipment, limiting their accessibility
 Textile 3D Face Mask Attack Dataset addresses this gap by providing cost-effective presentation attack scenarios using elastic textile masks — a budget-friendly alternative to existing premium datasets:
 Elastic textile technology enables partial facial geometry mimicking through material stretching and contour adaptation, while maintaining simple DIY manufacturing and widespread material availability
+## Best Uses
 This dataset is ideal for entities striving to meet or exceed iBeta Level 2 certification. By integrating this dataset, organizations can greatly enhance the training effectiveness of anti-spoofing algorithms, ensuring a robust and accurate performance in practical scenarios
+## Conclusion
 With its comprehensive features and simulation of real attack scenarios, the Textile 3D Face Mask Attack Dataset is indispensable for anyone involved in developing and certifying facial recognition and liveness detection technologies. Utilize this dataset to strengthen your systems against the most deceptive digital security threats