Update README.md

README.md

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-license: cc-by-4.0
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+---
+license: cc-by-4.0
+task_categories:
+- image-classification
+- image-feature-extraction
+language:
+- en
+tags:
+- biology
+- code
+size_categories:
+- 1K<n<10K
+---
 Silicone Mask Biometric Attack Dataset
 Anti spoofing dataset with Silicone 3D mask attacks (7000 videos)
 
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 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 Silicone Mask Biometric 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.
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+With its comprehensive features and simulation of real attack scenarios, the Silicone Mask Biometric 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.