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  • Technische Universität Dresden
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  • EXTRUSO - Extreme Events in Small and Medium Scale Catchments
  • Image-based water stage measurement using deep learning
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Dataset: Image-based water stage measurement with deep learningOpen Access Icon

Thumbnail
images_segnet_prediction.zip (1.749Gb)
images_fcn_prediction.zip (1.750Gb)
dataset_watercontour_waterlevel_shore3D.zip (165.6Mb)
data-license.txt (CC-BY-4.0) (12.81Kb)
Date
2020
Author
Eltner, Anette
Metadata
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Abstract
This dataset contains the results of the application of deep learning to classify water areas in images captured with a low-cost Raspberry Pi camera. Furthermore, the photogrammetrically measured 3D point cloud of the shore and the extracted water stage information is included as well as the comparison between camera gauge measurement and an independent reference gauge measurement.
URI
https://opara.zih.tu-dresden.de/xmlui/handle/123456789/1727
http://dx.doi.org/10.25532/OPARA-72
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  • Image-based water stage measurement using deep learning [1]Open Access Icon

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