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': Bacterial Leaf Spot
+          '1': Downy Mildew
+          '2': Healthy Leaves
+          '3': Powdery Mildew
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 1K<n<10K
+---
+
+# Grape Leaf Disease Classification
+
+A dataset for image classification of Grape Leaf Disease.  The dataset contains 2,726 images across 4 classes: Bacterial Leaf Spot, Downy Mildew, Healthy Leaves, Powdery Mildew.
+Images per class:
+- Bacterial Leaf Spot: 100
+- Downy Mildew: 966
+- Healthy Leaves: 1,254
+- Powdery Mildew: 406
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{dharrao2025grapes,
+  title={Grapes leaf disease dataset for precision agriculture},
+  author={Dharrao, Madhuri and Zade, Nilima and Kamatchi, R and Sonawane, Rakesh and Henry, Rabinder and Dharrao, Deepak},
+  journal={Data in Brief},
+  volume={61},
+  pages={111716},
+  year={2025},
+  publisher={Elsevier}
+}```
+
+Dharrao, Madhuri; Dharrao, Deepak; Sonawane, Rakesh; zade, Nilima (2025), “Niphad Grape Leaf Disease Dataset (NGLD)”, Mendeley Data, V5, doi: 10.17632/8nnd2ypcv3.5