A methodology for detection and localization of fruits in apples orchards from aerial images
Paper • 2110.12331 • Published
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{
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122,
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} |
End of preview. Expand in Data Studio
Apple Detection Drone Brazil
A dataset for object detection of apples. The dataset contains 689 images with 2,471 bounding box annotations across 1 category.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{DBLP:journals/corr/abs-2110-12331,
author={Thiago T. Santos and Luciano Gebler},
title={A methodology for detection and localization of fruits in apples orchards from aerial images},
journal={CoRR},
volume={abs/2110.12331},
year={2021},
url={https://arxiv.org/abs/2110.12331},
eprinttype={arXiv},
eprint={2110.12331},
timestamp={Thu, 28 Oct 2021 15:25:31 +0200},
biburl={https://dblp.org/rec/journals/corr/abs-2110-12331.bib},
bibsource={dblp computer science bibliography, https://dblp.org}
}
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