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Data for: Scalable Flood Level Trend Monitoring with Surveillance Cameras using a Deep Convolutional Neural Network
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Swiss Federal Institute of Aquatic Science and Technology (Eawag) - view all
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Last updatedover 2 years ago
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Overview

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.

Flood Trenddeep convolutional neural networkflash floodimage segmentationnone
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