zenodoopen
Dataset For Water Segmentation
<p>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.</p> <p>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)</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
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