Update README.md

README.md

@@ -24,4 +24,37 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- n<1K
 ---
+# Grapevine Disease Classification
+
+A dataset for disease classification of grapevines. The dataset contains 611 images across 4 classes and 4 grape varieties: 
+Images per class:
+- conf: 199
+- conf+: 77
+- esca: 107
+- fd: 228
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{tardif2023expertized,
+  title={An expertized grapevine disease image database including five grape varieties focused on Flavescence dor{\'e}e and its confounding diseases, biotic and abiotic stresses},
+  author={Tardif, Malo and Amri, Ahmed and Deshayes, Aymeric and Greven, Marc and Keresztes, Barna and Fontaine, Ga{\"e}l and Sicaud, Laetitia and Paulhac, Laetitia and Bentejac, Sophie and Da Costa, Jean-Pierre},
+  journal={Data in Brief},
+  volume={48},
+  pages={109230},
+  year={2023},
+  publisher={Elsevier}
+}
+```
+
+Tardif, Malo (2023), “An expertized grapevine disease image database focused on Flavescence dorée and its confounding diseases”, Mendeley Data, V2, doi: 10.17632/3dr9r3w3jn.2
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*