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Project-AgML/tropical_dry_forest_multispectral

Tropical Dry Forest Multispectral An unlabeled image dataset of Tropical Dry Forest Multispectral. The dataset contains 196 images with no classification, segmentation, or bounding-box annotations. This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{vegapuga2024high, title={High resolution image dataset by RGB and multispectral cameras on an unmanned aerial vehicle over a secondary tropical dry forest}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/tropical_dry_forest_multispectral.

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Dataset Card

Tropical Dry Forest Multispectral

An unlabeled image dataset of Tropical Dry Forest Multispectral. The dataset contains 196 images with no classification, segmentation, or bounding-box annotations.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

bibtex

@article{vegapuga2024high,
  title={High resolution image dataset by RGB and multispectral cameras on an unmanned aerial vehicle over a secondary tropical dry forest},
  author={Vega-Puga, Masuly and Garatuza-Payán, Jaime and Rivera-Diaz, Miguel A. and Galaz, Onésimo and Alvarez-Yépiz, Juan C. and Yepéz, Enrico A.},
  journal={Data in Brief},
  volume={52},
  pages={109869},
  year={2024},
  publisher={Elsevier}
}

Vega, Masuly (2023), “RGB and Multispectral images dataset ( Álamos, Sonora)”, Mendeley Data, V2, doi: 10.17632/rrs7ctswft.2

This dataset was reformatted from its original format to match HuggingFace standards.