Create README.md

README.md

@@ -0,0 +1,64 @@
+---
+configs:
+- config_name: raw
+  default: true
+  data_dir: raw
+  features:
+  - name: image
+    dtype: image
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': Black Spot
+          '1': Healthy Leaf
+          '2': Insect  Hole
+          '3': Yellow Mosaic Virus
+- config_name: preprocessed
+  data_dir: preprocessed
+  features:
+  - name: image
+    dtype: image
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': Black Spot
+          '1': Healthy Leaf
+          '2': Insect Hole
+          '3': Yellow Mosaic Virus
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 1K<n<10K
+---
+
+# Rose Leaf Disease Classification
+
+A dataset for classification of Rose leaf disease. The dataset contains raw and preprocessed versions.  
+The dataset contains 3,228 images.  
+Images per class:
+- Black Spot: 409
+- Healthy Leaf: 1,686
+- Insect  Hole: 453
+- Yellow Mosaic Virus: 680
+
+The preprocessed version has had images scaled down to 3000x3000, and backgrounds standardized.
+
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{shacha2025roseleafinsight,
+  title={RoseLeafInsight: A high-resolution image dataset for rose leaf disease recognition},
+  author={Shacha, Arnob Das and Durjoy, Sabbir Hossain and ShikderKamal, Md Emon Mostafa and Shoib, Md Mehedi Hasan and Bijoy, Md Hasan Imam},
+  journal={Data in Brief},
+  pages={111968},
+  year={2025},
+  publisher={Elsevier}
+}```
+
+Shacha, Arnob Das; Durjoy, Sabbir Hossain; Shikder, Md Emon; Kamal, MD Mostafa; Shoib, Md Mehedi Hasan; Bijoy, Md Hasan Imam (2025), “RoseLeafInsight: A High-Resolution Image Dataset for Rose Leaf Disease Recognition”, Mendeley Data, V1, doi: 10.17632/8chrjdxn79.1