[DATASET] Remote sensing imagery of threatened Vereda wetlands in the Brazilian Midwest: a segmentation-oriented model as a backbone for domain-specific applications
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| Autores principales: | , , , , , , , , |
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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2025
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| _version_ | 1866901804126568448 |
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| author | Machicao, Jeaneth Barbosa, Alexandre Augusto O. Salles, Leandro Toledo, Peter Corrêa, Pedro Oliveira, Luiz Collevatti, Rosane de Souza, Eduardo Barroso Ometto, Jean |
| author_facet | Machicao, Jeaneth Barbosa, Alexandre Augusto O. Salles, Leandro Toledo, Peter Corrêa, Pedro Oliveira, Luiz Collevatti, Rosane de Souza, Eduardo Barroso Ometto, Jean |
| contents | <p>This repository provides the annotated dataset and pretrained U-Net model for segmenting Vereda wetlands (VED.SGF) in the Brazilian Cerrado. The <code>data/model/</code> directory contains the final architecture (<code>model.keras</code>) and weights (<code>model.weights.h5</code>). The <code>data/train/</code> folder includes the RGB mosaic (<code>box_train_4m_mosaic.tif</code>), annotation masks (<code>box_train_4m_labels.tif</code>), and training/validation files (<code>train.h5</code>, <code>validation.h5</code>). The <code>data/predict/</code> folder provides an example input tile and its corresponding prediction. Shapefiles defining training/test regions (<code>shapefiles/LearningBox</code>) and the study area (<code>shapefiles/StudyArea</code>) are also included. </p> <p>Downloading this dataset complements the source code available on our GitHub (<a href="https://github.com/wetlands-vision/wetlands-segmentation-unet">https://github.com/wetlands-vision/wetlands-segmentation-unet</a>), enabling full reproducibility of training, evaluation, and inference workflows.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17803750 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | [DATASET] Remote sensing imagery of threatened Vereda wetlands in the Brazilian Midwest: a segmentation-oriented model as a backbone for domain-specific applications Machicao, Jeaneth Barbosa, Alexandre Augusto O. Salles, Leandro Toledo, Peter Corrêa, Pedro Oliveira, Luiz Collevatti, Rosane de Souza, Eduardo Barroso Ometto, Jean semantic segmentation U-net wetland mapping cerrado vereda ecosystems remote sensing deep learning <p>This repository provides the annotated dataset and pretrained U-Net model for segmenting Vereda wetlands (VED.SGF) in the Brazilian Cerrado. The <code>data/model/</code> directory contains the final architecture (<code>model.keras</code>) and weights (<code>model.weights.h5</code>). The <code>data/train/</code> folder includes the RGB mosaic (<code>box_train_4m_mosaic.tif</code>), annotation masks (<code>box_train_4m_labels.tif</code>), and training/validation files (<code>train.h5</code>, <code>validation.h5</code>). The <code>data/predict/</code> folder provides an example input tile and its corresponding prediction. Shapefiles defining training/test regions (<code>shapefiles/LearningBox</code>) and the study area (<code>shapefiles/StudyArea</code>) are also included. </p> <p>Downloading this dataset complements the source code available on our GitHub (<a href="https://github.com/wetlands-vision/wetlands-segmentation-unet">https://github.com/wetlands-vision/wetlands-segmentation-unet</a>), enabling full reproducibility of training, evaluation, and inference workflows.</p> |
| title | [DATASET] Remote sensing imagery of threatened Vereda wetlands in the Brazilian Midwest: a segmentation-oriented model as a backbone for domain-specific applications |
| topic | semantic segmentation U-net wetland mapping cerrado vereda ecosystems remote sensing deep learning |
| url | https://doi.org/10.5281/zenodo.17803750 |