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End of preview. Expand in Data Studio
Cocoa Agroforestry Multispectral
An unlabeled image dataset of Cocoa Agroforestry Multispectral. The dataset contains 1,272 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{lammoglia2024high,
title={High-resolution multispectral and RGB dataset from UAV surveys of ten cocoa agroforestry typologies in Côte d'Ivoire},
author={Lammoglia, Sabine-Karen and Akpa, You Lucette and Danumah, Jean Homian and Brou, Yves Laurent Assoua and Kassi, Justin N'Dja},
journal={Data in Brief},
volume={55},
pages={110664},
year={2024},
publisher={Elsevier}
}
Lammoglia, S. K., Danumah, J. H., Akpa, Y. L., Assoua Brou, Y. L., & Kassi, N. J. (2024). Dataset of RGB and multispectral aerial images of cocoa agroforestry plots (Divo, Côte d’Ivoire) [dataset]. In Spectral_img_Ble_2202205_raw (Version V1). CIRAD Dataverse. https://doi.org/doi:10.18167/DVN1/MK2ZRG
This dataset was reformatted from its original format to match HuggingFace standards.
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