Categorized visuals are the dream of autonomous detection tools. By dividing the content into three classes, real-world patterns, simple patterns, and dual patterns, the teams create AI that adapts to different infrastructure patterns. A 70/30 split between training and validation content ensures that the models generalize without overtraining. Combining