Update README.md

README.md

@@ -37,7 +37,9 @@ This dataset focuses on cutout photo print attacks which might be used by iBeta
 ## Potential Use Cases:
 - Liveness detection: This dataset is ideal for training and evaluating liveness detection models, enabling researchers to distinguish between selfies and photo cutout print mask with high accuracy
 
-![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F20109613%2Fa5609fa0aa1e5d6c67e3dd59c37dd858%2FFrame%2067.png?generation=1743280811279401&alt=media)
+![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F20109613%2Fa0bff360b18045f7ca050b2d9897b6ce%2FFrame%2071.png?generation=1743600209089889&alt=media)
+
+Successfull Spoofing attack on a Liveness test by [Duobango ](https://www.doubango.org/webapps/face-liveness/)
 
 Keywords:
 Cutout Print photo attack dataset, Antispoofing for AI, Liveness Detection dataset for AI, Spoof Detection dataset, Facial Recognition dataset, Biometric Authentication dataset, AI Dataset, PAD Attack Dataset, Anti-Spoofing Technology, Facial Biometrics, Machine Learning Dataset, Deep Learning