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Annotated images of the Dutch coast

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posted on 27.08.2014 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.

History

Contributors

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

Publisher

Delft University of Technology

Time coverage

2013

Geolocation

Four camera locations along the coast in North and South Holland

Format

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

Exports

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Exports