| --- |
| configs: |
| - config_name: default |
| default: true |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': clustered |
| '1': single |
| '2': undefined |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # 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 |
