Description
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.
| Date made available | 27 Aug 2014 |
|---|---|
| Publisher | TU Delft - 4TU.ResearchData |
| Date of data production | 2014 |
| Geographical coverage | Four camera locations along the coast in North and South Holland |
Research output
- 1 Article
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An automated method for semantic classification of regions in coastal images
Hoonhout, B., Radermacher, M., Baart, F. & van der Maaten, L., 2015, In: Coastal Engineering. 105, 1, p. 1-12 12 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access
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