Published October 4, 2019 | Version 2.0

Data for: Scalable Flood Level Trend Monitoring with Surveillance Cameras using a Deep Convolutional Neural Network [Version 2]

Authors/Creators

  • 1. Eawag, Swiss Federal Institute of Aquatic Science and Technology

Description

This package provides material that can be openly published for the paper "Scalable Flood Level Trend Monitoring with Surveillance Cameras using a Deep Convolutional Neural Network". It consists in the code used to generate results and figures as well as the weights of the deep convolutional neural networks trained to segment water in the surveillance camera images.

Files

cctv-flood-extraction.zip

Files (1.1 GB)

Name Size
md5:e5641205f7cbbda627716dc0cba1bd6e
67.5 kB Preview Download
md5:27e9a1ca59deb88f9269fe79be7faa5b
1.1 GB Download
md5:f694388eacac591c3adc55b7b4b0a67e
2.7 MB Preview Download
md5:bfff09a4c1694c67118bf4d1803be62c
1.8 kB Preview Download

Additional details

Related works

Is new version of
Dataset: 10.25678/0000BB (DOI)