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steel-defect-detection

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This repo contains implementation of deep learning-based steel surface defect segmentation models. Extensive experiments on several deep learning frameworks have been presented with various performance analysis and comparison.

  • Updated Apr 17, 2026
  • Python

This repo contains implementation of semi-supervised defect segmentation based on pairwise similarity map consistency and ensemble-based cross pseudo labels

  • Updated Apr 18, 2026
  • Python

Steel surface defect detection using YOLOv8m on the Severstal dataset. Full pipeline: RLE-to-bbox conversion, image tiling, stratified splitting, custom balanced sampling, and Gradio deployment on HuggingFace Spaces.

  • Updated Jun 7, 2026
  • Jupyter Notebook

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