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Project-AgML/rice_seedling_classification

Rice Seedling Classification A dataset for image classification of Rice Seedlings. The dataset contains 5,364 images across 3 classes: clustered, single, undefined. Images per class: clustered: 1,437 single: 1,367 undefined: 2,560 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{luu2024rigad, title={RiGaD: An aerial dataset of rice seedlings for assessing germination rates and density}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_seedling_classification.

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Rice Seedling Classification

A dataset for image classification of Rice Seedlings. The dataset contains 5,364 images across 3 classes: clustered, single, undefined. Images per class:

—clustered: 1,437
—single: 1,367
—undefined: 2,560

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

Citation

bibtex

@article{luu2024rigad,
  title={RiGaD: An aerial dataset of rice seedlings for assessing germination rates and density},
  author={Luu, Trong Hieu and Cao, Hoang-Long and Ngo, Quang Hieu and Nguyen, Thanh Tam and El Makrini, Ilias and Vanderborght, Bram},
  journal={Data in Brief},
  volume={57},
  pages={111118},
  year={2024},
  publisher={Elsevier}
}

Luu, T. H., Cao, H. L., Ngo, Q. H., Nguyen, T. T., El Makrini, I., & Vanderborght, B. (2024). RiGaD: An aerial dataset of rice seedlings for assessing germination rates and density. Zenodo. https://doi.org/10.5281/zenodo.11658969