Update README.md

README.md

@@ -21,4 +21,36 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 1K<n<10K
 ---
+# Maize Nitrogen Deficiency Classification
+
+A dataset for image classification of Maize leaves with varying levels of nitrogen deficiency. The dataset contains 1,200 images across 3 classes: 0, 75, 136.  
+Images per class:
+- 0: 400
+- 75: 400
+- 136: 400
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{salai2023nitrogen,
+  title={Nitrogen deficiency in maize: Annotated image classification dataset},
+  author={Salaić, Miroslav and Novoselnik, Filip and Žarko, Ivana Podnar and Galić, Vlatko},
+  journal={Data in Brief},
+  volume={50},
+  pages={109625},
+  year={2023},
+  publisher={Elsevier}
+}
+```
+
+Galic, Vlatko; Podnar Zarko, Ivana; Novoselnik, Filip; Salaic, Miroslav (2023), “Nitrogen deficiency in maize: annotated image classification dataset”, Mendeley Data, V1, doi: 10.17632/g7xnn2bm4g.1
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*