Update README.md

README.md

@@ -12,7 +12,7 @@ size_categories:
 - 1K<n<10K
 ---
 # Silicone Mask Biometric Attack Dataset
-Anti spoofing dataset with Silicone 3D mask attacks (7000 videos)
+Anti spoofing dataset with Silicone 3D mask attacks (10 000 videos)
 
 ## This is a demo version, full dataset is coming soon. Share with us your feedback and recieve additional samples for free!😊
 ## Full version of dataset is availible for commercial usage - leave a request on our website [Axon Labs](https://axonlabs.pro/) to purchase the dataset 💰
@@ -26,8 +26,8 @@ The Silicone Mask Attack Dataset is designed to address security challenges in l
 This dataset is crucial for companies preparing to comply with iBeta Level 2 certification which requires anti-spoofing technologies. In today's digital security landscape, the Silicone Mask Dataset serves as a critical resource for training Machine Learning (ML) models and advanced biometric techniques to detect spoofing attempts.
 
 ## Dataset Features
-- Variety of Masks: Encompasses 9 unique silicone masks (male and female, Caucasian ans Asian ethnicity)
-- Video Collection: There are roughly 7,000 videos that showcase detailed spoofing detection scenarios.
+- Variety of Masks: Encompasses 18 unique silicone masks (male and female, Caucasian ans Asian ethnicity)
+- Video Collection: There are roughly 10,000 videos that showcase detailed spoofing detection scenarios.
 - Capture Devices: Two different recording devices in selfie mode to mirror real-life conditions.
 - Environmental Conditions: Captures videos across diverse lighting and background settings to ensure robustness.