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ProGAN-Based Synthetic Image Generation for Industrial Visual Inspection of Metallic Parts
Automated visual inspection is essential for efficient repair and recycling of metallic components. AI-based defect detection is a strong fit. However, it is often constrained by scarce, low-diversity training data. To address this gap, we study Generative AI-driven synthetic image generation using
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