aviralchharia / Surface-Defect-Detection-in-Hot-Rolled-Steel-StripsView external linksLinks
This project aims to automatically detect surface defects in Hot-Rolled Steel Strips such as rolled-in scale, patches, crazing, pitted surface, inclusion and scratches. A CNN is trained on the NEU Metal Surface Defects Database which contains 1800 grayscale images with 300 samples of each of the six different kinds of surface defects.
☆59Jun 15, 2021Updated 4 years ago
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