fig9

Application of self-supervised learning in steel surface defect detection

Figure 9. Visual examples of detected defects on NEU-DET. (A) Crazing; (B) Rolled-in_scale; (C) Inclusion; (D) Scratches; (E) Patches; (F) Pitted_surface. Left column: ground truth annotations; Right column: model predictions with confidence scores.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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