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||2014|
|Publisher||TU Delft - 4TU.ResearchData|
|Date of data production||2014|
|Geographical coverage||Four camera locations along the coast in North and South Holland|