KolektorSDD2 (Kolektor Surface-Defect Dataset 2)
Introduced by Božič et al. in Mixed supervision for surface-defect detection: from weakly to fully supervised learning
KolektorSDD2 is a surface-defect detection dataset with over 3000 images containing several types of defects, obtained while addressing a real-world industrial problem.
The dataset consists of:
- 356 images with visible defects
- 2979 images without any defect
- image sizes of approximately 230 x 630 pixels
- train set with 246 positive and 2085 negative images
- test set with 110 positive and 894 negative images
- several different types of defects (scratches, minor spots, surface imperfections, etc.)
Benchmarks
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KolektorSDD2
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SemiREST-Un
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Segmentation+Decision Net
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Segmentation+Decision Net
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KolektorSDD2
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DSR
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Papers
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