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| Main Authors: | , , |
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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.16740295 |
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Table of Contents:
- <p>This dataset is was used to train the ML model presented in the Paper:</p> <p>"Detection of coastal flooding with TinyCamML: a low-cost, privacy-preserving cellular-connected camera with onboard ML"</p> <p>A total of 17,448 images are divided into three folders: Train/Validation/Test.</p> <p>The code to develop the model is on Github:</p> <p>https://github.com/TinyCamML/Flood-Model/blob/main/src/Classification_asCat-Octt2024.ipynb</p> <p>Note that some of the images come from:</p> <p>Wang, Y. (2024). Urban Flood Image Dataset, HydroShare, http://www.hydroshare.org/resource/24866122a6ee456c8f7c80aa87a9abcb</p>