Create README.md

README.md

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+---
+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