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': Disease
+          '1': Dry Leaf
+          '2': Healthy
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 1K<n<10K
+---
+
+# Bay Leaf Disease Classification
+
+A dataset for disease classification of bay leaves. The dataset contains 5,696 images across 3 classes: Disease, Dry Leaf, Healthy.  
+Images per class:
+- Disease: 1,477
+- Dry Leaf: 3,074
+- Healthy: 1,145
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{paygude2024dataset,
+  title={A dataset revolutionizing Indian bay leaf analysis},
+  author={Paygude, Priyanka and Thite, Sandip and Kumar, Ajay and Bhosle, Amol and Pawar, Rajendra and Mane, Renuka and Joshi, Rahul and Kasar, Manisha and Chavan, Prashant and Gayakwad, Milind},
+  journal={Data in Brief},
+  volume={57},
+  pages={111024},
+  year={2024},
+  publisher={Elsevier}
+}
+```
+
+PAYGUDE, PRIYANKA; CHAVAN, PRASHANT; Gayakwad, Milind (2024), “Indian Bay Leaves or Cinnamomum Tamala Leaves Dataset”, Mendeley Data, V2, doi: 10.17632/s9t7sr52wg.2