Datasets › Sewer-ML

Sewer-ML

Introduced by Joakim Bruslund Haurum et al. in Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark19 Mar 2021 archive 2025-07-28

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.

Source: Sewer-ML Image Source: Sewer-ML

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 5 papers for it but never published that list.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY-NC-SA

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Sewer-ML

1 variant name, as the archive lists them.

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