Advancing Quality Control in Painted Metal Parts: A Novel Dataset and a Defect Detection Method Based on Synthetic Anomalies
Automated quality inspection of painted metal parts requires robust visual anomaly detection (VAD) capable of identifying defects despite limited training data and unpredictable anomalies. Supervised algorithms are often impractical due to the limited availability of labeled anomaly data, yet existing unsupervised and...