Update README.md

README.md

@@ -29,4 +29,32 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- object-detection
+size_categories:
+- 1K<n<10K
 ---
+# Cashew Detection
+
+A dataset for object detection of cashew flowers and fruits. The dataset contains 3,098 images with 88,364 bounding box annotations across 6 categories.
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{sanya2024coffee,
+  title={Coffee and cashew nut dataset: A dataset for detection, classification, and yield estimation for machine learning applications},
+  author={Sanya, Rahman and Nabiryo, Ann Lisa and Tusubira, Jeremy Francis and Murindanyi, Sudi and Katumba, Andrew and Nakatumba-Nabende, Joyce},
+  journal={Data in Brief},
+  volume={52},
+  pages={109952},
+  year={2024},
+  publisher={Elsevier}
+}
+```
+
+Nakatumba-Nabende, Joyce; Katumba, Andrew; Sanya, Rahman; Tusubira, Jeremy; Murindanyi, Sudi; Namanya, Gloria; Nabiryo, Ann (2023), “Coffee and Cashew Nut Dataset”, Mendeley Data, V1, doi: 10.17632/r46c6bpfpf.1
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*