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ZENODO
Dataset . 2026
License: CC BY NC SA
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY NC SA
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY NC SA
Data sources: Datacite
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Claim

Synthetic Images Flood Scenario

Research datakeyboard_double_arrow_right Dataset 28 Jan 2026Publisher:ZenodoFunded by:EC | TEMA
Authors: Atos (Spain); Diaz Fragachan, Eleonor;

doi: 10.5281/zenodo.18400719 , 10.5281/zenodo.18400720

Synthetic Images Flood Scenario

Abstract

Synthetic RGB image dataset depicting 766 images of floods in varied scenarios generated with AI methods. This data can be used to train/evaluate flood segmentation models on RGB images. FloodsScenarios/├── images/ (image_00001_.jpg → image_00766_.jpg)├── annotated_images/ (image_00001_.png → image_00766_.png)└── annotated_masks/ (image_00001_.png → image_00766_.png)

Related Organizations
Keywords

Synthetic Data, Natural Disaster Management, Flood Segmentation, Flood Detection

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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