Datasets › KolektorSDD2

KolektorSDD2 (Kolektor Surface-Defect Dataset 2)

Introduced by Jakob Božič et al. in Mixed supervision for surface-defect detection: from weakly to fully supervised learning13 Apr 2021 archive 2025-07-28

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 archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Unsupervised Anomaly Detection KolektorSDD2 WeakREST-Un Segmentation AP 76.9 Industrial Anomaly Detection and Localization Using... — 3 Compare
Self-Supervised Anomaly Detection KolektorSDD2 MLD-IR AUROC 94.3 Meta Learning-Driven Iterative Refinement for Robust... — 2 Compare

Papers archive 2025-07-28

5 shown of 5 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 15. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • KolektorSDD2

1 variant name, as the archive lists them.

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