Data underlying the student thesis: Automated monitoring of corrosion on piling sheets

doi: 10.4121/21387930.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/21387930
Datacite citation style:
Richie Maskam; Amiri-Simkooei, A. (Alireza); Sander van Nederveen; Mohammad Fotouhi; Maarten Visser (2022): Data underlying the student thesis: Automated monitoring of corrosion on piling sheets. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21387930.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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geolocation
Lemmer-Delfzijl, The Netherlands
licence
cc-by.png logo CC BY 4.0

 This is a piling sheet data used for classification and object detection. The classes are based on Digiggids. Object detection was used to detect dimensional features and estimate dimensions that could tell us about the type of piling sheet. 


 For the notebooks you can check my github page. 

history
  • 2022-10-25 first online, published, posted
publisher
4TU.ResearchData
format
*.jpg; *.txt
organizations
TU Delft, Faculty of Civil Engineering and Geosciences
Witteveen+Bos N.V.

DATA

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