KolektorSDD2

Kolektor Surface-Defect Dataset 2

Dataset Information
Modalities
Images
Introduced
2021
License
Unknown
Homepage
Official Website
Contents

Overview

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.)

Variants: KolektorSDD2

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Unsupervised Anomaly Detection WeakREST-Un Industrial Anomaly Detection and Localization … 2023-06-06
Unsupervised Anomaly Detection DSR DSR -- A dual subspace … 2022-08-02
Unsupervised Anomaly Detection Semi-orthogonal Semi-orthogonal Embedding for Efficient Unsupervised … 2021-05-31

Research Papers

Recent papers with results on this dataset:

External Links: