Create README.md

README.md

@@ -0,0 +1,46 @@
+---
+configs:
+- config_name: default
+  default: true
+  features:
+  - name: image
+    dtype: image
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': Dried
+          '1': Healthy
+          '2': Unhealthy
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 1K<n<10K
+---
+
+# Centella Asiatica Leaves
+
+A dataset for image classification of Centella Asiatica Leaves.  The dataset contains 9,094 images across 3 classes: Dried, Healthy, Unhealthy.
+Images per class:
+- Dried: 2,996
+- Healthy: 3,048
+- Unhealthy: 3,050
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{jadhav2024dataset,
+  title={Dataset of Centella Asiatica leaves for quality assessment and machine learning applications},
+  author={Jadhav, Rohini and Molawade, Mayuri and Bhosle, Amol and Suryawanshi, Yogesh and Patil, Kailas and Chumchu, Prawit},
+  journal={Data in Brief},
+  volume={57},
+  pages={111150},
+  year={2024},
+  publisher={Elsevier}
+}
+```
+
+Suryawanshi, Yogesh; Wakode, Krishna; PATIL, Kailas; chumchu, prawit (2024), “Centella Asiatica Leaf Image Dataset”, Mendeley Data, V2, doi: 10.17632/hrx2kgphy5.2