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End of preview. Expand in Data Studio
Strawberry Growth Detection
A dataset for detection of strawberry growth stages. The dataset contains 1,477 images with 3,997 bounding box annotations across 7 categories. The dataset also contains ground truth data related to the size of the strawberries from tagged leaves, as well as a decimal based growth stage.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{yang2024predicting,
title={Predicting the growth trajectory and yield of greenhouse strawberries based on knowledge-guided computer vision},
author={Yang, Qi and Liu, Licheng and Zhou, Junxiong and Rogers, Mary and Jin, Zhenong},
journal={Computers and Electronics in Agriculture},
volume={220},
pages={108911},
year={2024},
publisher={Elsevier}
}
Yang, Q.& Jin, Z. (2024). Dataset for "Predicting the growth trajectory and yield of greenhouse strawberries based on knowledge-guided computer vision" [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.10957909
This dataset was reformatted from its original format to match HuggingFace standards.
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