{"url":"/dataset/sewer-ml","name":"Sewer-ML","full_name":null,"description_markdown":"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.\r\n\r\nSource: [Sewer-ML](https://vap.aau.dk/sewer-ml/)\r\nImage Source: [Sewer-ML](https://vap.aau.dk/sewer-ml/)","description_withheld":null,"homepage":"http://vap.aau.dk/sewer-ml","introduced_date":"2021-03-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/sewer-ml-a-multi-label-sewer-defect","title":"Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark","first_author":"Joakim Bruslund Haurum","url":null},"license":{"name":"CC BY-NC-SA","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"},{"name":"Multi-Label Classification","url":"/task/multi-label-classification","datasets_with_task":"/datasets/task/multi-label-classification"},{"name":"Multi-Label Image Classification","url":"/task/multi-label-image-classification","datasets_with_task":"/datasets/task/multi-label-image-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Sewer-ML"],"data_loaders":[{"repo":"https://bitbucket.org/aauvap/sewer-ml","url":"https://bitbucket.org/aauvap/sewer-ml","frameworks":["pytorch"]}],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}