Update README.md

README.md

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 The iBeta Level 2 dataset is an essential tool for the biometrics industry, as it helps to ensure that biometric systems meet the highest standards of anti-spoofing technology. This dataset is used by various biometric companies in various applications and products to test and improve their *biometric authentication solutions, face recognition systems and facial liveness detection methods.*
 
+# Frequently Asked Questions
+
+## Who can benefit from this iBeta Level 2 Certification Dataset?
+
+This iBeta dataset can benefit biometric security researchers, computer vision engineers, liveness detection developers, identity verification providers, fintech companies, and teams developing presentation attack detection systems. It is particularly relevant for organizations evaluating whether facial recognition systems can distinguish genuine users from physical spoofing attempts.
+
+## What video quality is available for liveness detection experiments?
+
+The recordings range from 1920 × 1080 to 3840 × 2160 pixels, covering Full HD through 4K resolution. This gives you enough spatial detail to investigate visual characteristics associated with presentation attacks, including facial contours, mask boundaries, texture, and lighting behavior.
+
+## How can the nine backgrounds improve robustness testing?
+
+The recordings were made against nine different backgrounds, introducing contextual variation into the biometric dataset. This is useful because a model can unintentionally learn environmental shortcuts instead of features associated with presentation attacks.
+
 # 🌐 [UniData](https://unidata.pro/datasets/ibeta-level-2-video-attacks/?utm_source=huggingface&utm_medium=referral&utm_campaign=ibeta-level-2) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects