Update README.md

README.md

@@ -31,4 +31,37 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 1K<n<10K
 ---
+
+# VegNet Quality Classification
+
+A dataset for quality classification of various crops. The dataset contains 6,150 images across 5 classes: Damaged, Dried, Old, Ripe, Unripe.  
+Images per class:
+- Damaged: 317
+- Dried: 1,389
+- Old: 2,044
+- Ripe: 1,787
+- Unripe: 613
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{suryawanshi2022vegnet,
+  title={VegNet: dataset of vegetable quality images for machine learning applications},
+  author={Suryawanshi, Yogesh and Patil, Kailas and Chumchu, Prawit},
+  journal={Data in Brief},
+  volume={45},
+  pages={108657},
+  year={2022},
+  publisher={Elsevier}
+}
+```
+
+Suryawanshi, Yogesh; PATIL, Kailas; Chumchu, Prawit (2022), “VegNet: Vegetable Dataset with quality (Unripe, Ripe, Old, Dried and Damaged)”, Mendeley Data, V1, doi: 10.17632/6nxnjbn9w6.1