fig8

Application of self-supervised learning in steel surface defect detection

Figure 8. NEU-DET detection performance with varied pre-trained weights vs. benchmarks. (A) Comparative evaluation of mAP for object detection across NEU, SSDD, and SSDD + NEU pre-trained weights in conjunction with benchmark test results; (B) Comparative evaluation of mAP_50 for object detection across NEU, SSDD, and SSDD + NEU pre-trained weights in conjunction with benchmark test results. mAP: Mean average precision.

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