Research Project: Synthetic Data & Data Augmentation Opportunities

Synthetic Data & Augmentation Primer

Practical guide to when and how to use synthetic data for scarce or sensitive datasets: generation approaches, labeling propagation, quality checks, evaluation strategies against held-out real data, governance, and a compact experimental workflow teams can try.