Projekter pr. år
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 tilgængelighed | 18 jun. 2021 |
|---|---|
| Forlag | sciencedata.dk |
| Geografisk dækning | Denmark |
Projekter
- 1 Afsluttet
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ASIR: Automated Sewer Inspection Robot
Moeslund, T. B. (PI (principal investigator)), Haurum, J. B. (PI (principal investigator)), Bahnsen, C. H. (PI (principal investigator)) & Hansen, B. D. (PI (principal investigator))
01/11/2018 → 30/04/2022
Projekter: Projekt › Forskning
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Multi-scale hybrid vision transformer and Sinkhorn tokenizer for sewer defect classification
Haurum, J. B., Madadi, M., Guerrero, S. E. & Moeslund, T. B., dec. 2022, I: Automation in Construction. 144, 104614.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgangFil10 Citationer (Scopus)338 Downloads (Pure) -
Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder
Haurum, J. B., Madadi, M., Guerrero, S. E. & Moeslund, T. B., 2022, Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022. IEEE (Institute of Electrical and Electronics Engineers), s. 1441-1452 12 s. (IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)).Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
Åben adgang9 Citationer (Scopus) -
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark
Haurum, J. B. & Moeslund, T. B., 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR): IEEE (Institute of Electrical and Electronics Engineers), s. 13451-13462 12 s. 9577322. (I E E E Conference on Computer Vision and Pattern Recognition. Proceedings).Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
Åben adgang50 Citationer (Scopus)
Presse/Medier
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FORSKER I SPILDEVAND: Kontinuerlig inspektion af kloakrør kan spare forsyninger for et trecifret millionbeløb – om året
15/05/2022
1 element af Mediedækning
Presse/medie
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Unikt datasæt skal bidrage til vedligehold af danske kloakker
Haurum, J. B. & Moeslund, T. B.
22/06/2021
1 element af Mediedækning
Presse/medie
Impacts
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Robotter opsporer defekter i kloaksystemer
Moeslund, T. B. (Deltager), Bahnsen, C. H. (Deltager) & Haurum, J. B. (Deltager)
Impact: Økonomisk impact, Anden impact