Beskrivelse

Sewer-ML is a sewer defect dataset. It contains 1.3 million images, from 75,618 videos collected from three Danish water utility companies over nine years. All videos have been annotated by licensed sewer inspectors following the Danish sewer inspection standard, Fotomanualen. This leads to consistent and reliable annotations, and a total of 17 annotated defect classes.
Dato for tilgængelighed18 jun. 2021
Forlagsciencedata.dk
Geografisk dækningDenmark
  • Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark

    Haurum, J. B. & Moeslund, T. B., 2021, (Accepteret/In press) 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR): IEEE, 12 s. (I E E E Conference on Computer Vision and Pattern Recognition. Proceedings).

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