Update README.md

README.md

@@ -21,11 +21,11 @@ task_categories:
 - video-classification
 ---
 # Textile 3D Face Mask Attack Dataset
-Cloth mask attack dataset for anti-spoofing and liveness detection — 3,000+ videos of elastic textile masks with printed faces on Samsung S23 and iPhone 14 Pro. ISO 30107-3 Level 2 attack category, iBeta Level 2 certification prep
+Cloth mask attack dataset for anti-spoofing and liveness detection — 11,000+ videos of elastic textile masks with printed faces on Samsung S23 and iPhone 14 Pro. ISO 30107-3 Level 2 attack category, iBeta Level 2 certification prep
 
 ## Overview
 
-Cloth mask attack dataset for training anti-spoofing and liveness detection models — 3,000+ videos of elastic textile face masks (balaclava-type) with printed facial images. Captured on Samsung S23 and iPhone 14 Pro in indoor environments with varied lighting
+Cloth mask attack dataset for training anti-spoofing and liveness detection models — 11,000+ videos of elastic textile face masks (balaclava-type) with printed facial images. Captured on Samsung S23 and iPhone 14 Pro in indoor environments with varied lighting
 
 Textile masks conform to the wearer's head through fabric elasticity, partially mimicking facial geometry — a low-cost alternative to silicone and latex 3D masks that tests the same ISO 30107-3 Level 2 attack category
 
@@ -33,7 +33,7 @@ Textile masks conform to the wearer's head through fabric elasticity, partially
 
 | Parameter | Value |
 |-----------|-------|
-| Videos | 3,000+ |
+| Videos | 11,000+ |
 | Unique subjects | 30+ IDs |
 | Devices | Samsung S23, iPhone 14 Pro |
 | Video length | ~7 sec |