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S. Mahmoudi

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#artificial intelligence Book Open access Nov 2025

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.

Mohamed Benkedadra, A. Saoudi, Maxime Gloesener et al. · 0 citations

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