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Future Generation Computer Systems
From Unity Simulation to Diffusion-Based Augmentation: Quantifying Dataset Balance for Robust Object Detection
Quantitative evaluation using Precision, Recall, mAP, and custom Δ -metrics, reveals that neither simulation nor generative augmentation alone achieves optimal transferability, and results demonstrate that limited synthetic inclusion enhances generalization, while excessive substitution induces domain drift.