In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and safety. However, conventional methods rely on heavy computational processing and image enhancement and may not truly reflect subtle defects, particularly in low-light settings.
Image-based model enhances the detection of surface defects in low-light industrial settings
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