Synthetic data generation framework for quality control automation in gravure printing
Korota Arsène Coulibaly, Mohamed Hamlich, Khalid Hmali, et al.
A synthetic data generation framework for rotogravure printing defects enables training object detectors to achieve 80.9% mAP on real samples, eliminating manual data collection.