Update README.md

README.md

@@ -27,6 +27,20 @@ They cover three different types of attacks (flat printing → textile 3D deform
 
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+# Why in-the-wild collection improves robustness
+Crowd-sourced, in-the-wild data covers the natural long-tail diversity of real scenarios, so models trained on it generalize better and rely less on hidden shortcuts typical of controlled, in-office datasets
+
+# How in-the-wild fundamentally differs from in-house
+- Heterogeneous hardware. Smartphones/webcams across brands and generations → different sensors, optics, ISP pipelines, noise/exposure, stabilization, frame rates, and codecs
+- Unstaged conditions. Random lighting (daylight/artificial, flicker, backlight), backgrounds, reflections, shadows, and outdoor/indoor scenes
+- Human behavior. Natural poses, micro-movements, expressions, speed and amplitude of head turns, varying camera distance
+- Broad spectrum of PAIs/masks. Different materials, shapes, and application methods; real-world artifacts (glare, folds, misalignment); plus “imperfect” spoofing attempts
+- Demographic and cultural diversity. Skin tones, makeup, accessories (glasses, headwear), styles—rarely covered in office setups
+
+In in-house collected datasets, even with artificial variation of backgrounds/angles, common constants remain: the same camera pool, typical lighting and backgrounds, repeated rooms and collection crews. Models quickly latch onto these spurious cues (e.g., characteristic white balance or wall texture), which harms transfer to real-world conditions
+
+Because the sources of variability differ, in-the-wild and in-house datasets have weak overlap. This makes our dataset a valuable external test bed: if a model performs well here, the likelihood of failure in real production is substantially lower
+
 ## Full version of dataset is availible for commercial usage - leave a request on our website [Axonlabs ](https://axonlabs.pro/?utm_source=kaggle-org&utm_medium=referral&utm_campaign=profile&utm_content=link_in_profile)to purchase the dataset 💰
 
 # Best Uses