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': BlackAustralia
+          '1': BlackOodTurkey
+          '2': Buriram60
+          '3': ChiangMai60
+          '4': ChiangMaiBuriram60
+          '5': Kamphaengsaeng42
+          '6': RedKing
+          '7': TaiwanMeacho
+          '8': TaiwanStraberry
+          '9': WhiteKing
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 1K<n<10K
+---
+
+# Mulberry Leaf Variety Classification
+
+A dataset for variety classification of mulberry leaves. The dataset contains 5,262 images across 10 classes: BlackAustralia, BlackOodTurkey, Buriram60, ChiangMai60, ChiangMaiBuriram60, Kamphaengsaeng42, RedKing, TaiwanMeacho, TaiwanStraberry, WhiteKing.  
+Images per class:
+- BlackAustralia: 637
+- BlackOodTurkey: 500
+- Buriram60: 345
+- ChiangMai60: 500
+- ChiangMaiBuriram60: 761
+- Kamphaengsaeng42: 500
+- RedKing: 350
+- TaiwanMeacho: 640
+- TaiwanStraberry: 488
+- WhiteKing: 541
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{choompookham2024mulberry,
+  title={Mulberry leaf dataset for image classification task},
+  author={Choompookham, Thipwimon and Okafor, Emmanuel and Surinta, Olarik},
+  journal={Data in Brief},
+  volume={54},
+  pages={110281},
+  year={2024},
+  publisher={Elsevier}
+}
+```
+
+Chom, thipwimon; surinta, olarik (2024), “Mulberry Leaf Dataset”, Mendeley Data, V3, doi: 10.17632/ds45yy9jrc.3