Hoonhout, Bas; Radermacher, M. (Max) (2014): Annotated images of the Dutch coast. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:08400507-4731-4cb2-a7ec-9ed2937db119

Dataset

• Geomatic Engineering

annotation, coastal engineering, dutch coast, image classification algorithms

2013

4TU General Terms of Use

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Bas Hoonhout , M. (Max) Radermacher

188 images of the Dutch coast taken during the summer of 2013 at 4 different locations. The images are segmented into 600 superpixels using the SLIC algorithm. The superpixels are subsequently annotated in the classes sky, water (sea), water (pool), sand (beach), sand (dune), vegetation, object (sea), object (beach) and object (dune). The dataset can be used to train, validate and test coastal image classification algorithms like Logistic Regressors, Support Vector Machines or Conditional Random Fields.

• 2014-08-27 first online, published, posted

Delft University of Technology

Python pickle (.pkl) and jpg image files media types: application/octet-stream, application/zip, image/jpg

• https://doi.org/10.1016/j.coastaleng.2015.07.010
• https://doi.org/10.5281/zenodo.14596

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering