Update README.md

README.md

@@ -31,4 +31,40 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 1K<n<10K
 ---
+# Guava Damage Classification
+
+A dataset for image classification of various types of guava damage. The dataset contains 3,959 rgb and thermal images across 7 classes: 15cm_drop, 30cm_drop, 45cm_drop, chilling_injured, diseased, healthy, mixed_drop.  
+Images per class:
+- 15cm_drop: 887
+- 30cm_drop: 832
+- 45cm_drop: 1,078
+- chilling_injured: 32
+- diseased: 395
+- healthy: 588
+- mixed_drop: 147
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{pathmanaban2023comprehensive,
+  title={Comprehensive guava fruit data set: Digital and thermal images for analysis and classification},
+  author={Pathmanaban, P. and Gnanavel, B.K. and Anandan, Shanmuga Sundaram},
+  journal={Data in Brief},
+  volume={50},
+  pages={109486},
+  year={2023},
+  publisher={Elsevier}
+}
+```
+
+P, PATHMANABAN; B K, GNANAVEL; Anandan, Shanmuga Sundaram (2023), “Guava (Psidium guajava) fruit digital and thermal Images”, Mendeley Data, V1, doi: 10.17632/5kptnn7ycr.1
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*