KolektorSDD

Kolektor Surface-Defect Dataset

Dataset Information
Modalities
Images
Introduced
2019
License
Unknown
Homepage

Overview

The dataset is constructed from images of defective production items that were provided and annotated by Kolektor Group d.o.o.. The images were captured in a controlled industrial environment in a real-world case.

The dataset consists of 399 images at 500 x ~1250 px in size.

Please cite our paper published in the Journal of Intelligent Manufacturing when using this dataset:

@article{Tabernik2019JIM,
  author = {Tabernik, Domen and {\v{S}}ela, Samo and Skvar{\v{c}}, Jure and 
  Sko{\v{c}}aj, Danijel},
  journal = {Journal of Intelligent Manufacturing},
  title = {{Segmentation-Based Deep-Learning Approach for Surface-Defect Detection}},
  year = {2019},
  month = {May},
  day = {15},
  issn={1572-8145},
  doi={10.1007/s10845-019-01476-x}
}

Variants: KolektorSDD

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Unsupervised Anomaly Detection Semi-orthogonal Semi-orthogonal Embedding for Efficient Unsupervised … 2021-05-31

Research Papers

Recent papers with results on this dataset: