Update README.md

README.md

@@ -42,4 +42,42 @@ configs:
   - split: train
     path: raw/train-*
   default: true
+license: cc-by-4.0
+task_categories:
+- image-classification
+size_categories:
+- 1K<n<10K
 ---
+# Tomato Maturity Classification
+
+A dataset for maturity classification of tomatoes. The dataset contains raw and augmented versions.  
+The raw dataset contains 1,000 images.  
+Images per class:
+- Immature: 500
+- Mature: 500
+
+The augmented dataset contains 4,000 images.  
+Images per class:
+- Immature: 2,000
+- Mature: 2,000
+
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{khatun2023extensive,
+  title={An extensive real-world in field tomato image dataset involving maturity classification and recognition of fresh and defect tomatoes},
+  author={Khatun, Tania and Razzak, Abdur and Islam, Md Shofiul and Uddin, Mohammad Shorif},
+  journal={Data in Brief},
+  volume={51},
+  pages={109688},
+  year={2023},
+  publisher={Elsevier}
+}
+```
+
+Khatun, Tania; Razzak, Abdur ; Islam, Md. Shofiul ; Uddin, Prof. Dr. Mohammad Shorif  (2023), “Tomato Maturity Detection and Quality Grading Dataset”, Mendeley Data, V1, doi: 10.17632/s42kpg8h37.1
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*