Published November 1, 2022 | Version v1

Dataset For Water Segmentation

Authors/Creators

  • 1. Universiti Putra Malaysia

Description

The dataset is composed of 1011 images and their labeled ground truth, used for water segmentation in the “Deep Learning Semantic Segmentation for Water Level Estimation Using Surveillance Camera” paper.

Images were obtained from the European Flood 2013 Dataset and some were manually saved from the Selangor Infobanjir website found at http://infobanjirjps.selangor.gov.my/camera.html. The labeling task was done in Matlab software (R2020b)

Files

Images.zip

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