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... | test | |
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388.0000799... | test | |
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End of preview. Expand in Data Studio
Grapevine Growth Detection
A dataset for detection of grapevine bunches. The dataset contains 1,212 images with 3,476 bounding box annotations across 1 category.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
The original train/test/val split has been preserved in the split column.
Citation
@article{schieck2023comparison,
title={Comparison of deep learning methods for grapevine growth stage recognition},
author={Schieck, Martin and Krajsic, Philippe and Loos, Felix and Hussein, Abdulbaree and Franczyk, Bogdan and Kozierkiewicz, Adrianna and Pietranik, Marcin},
journal={Computers and Electronics in Agriculture},
volume={211},
pages={107944},
year={2023},
publisher={Elsevier}
}
Schieck, M. (2022, October 31). Grapevine development stages (BBCH 71-79). Kaggle. https://www.kaggle.com/datasets/schieckmartin/grapesdevelopmentstages
This dataset was reformatted from its original format to match HuggingFace standards.
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