Update README.md

README.md

@@ -38,4 +38,32 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- object-detection
+size_categories:
+- 1K<n<10K
 ---
+
+
+# MH Weed16 Weed Detection
+
+A dataset for weed detection in Soybean fields. The dataset contains 6,656 images with 62,052 bounding box annotations across 15 categories.
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{shinde2025indian,
+  title={An Indian annotated weed dataset for computer vision tasks in precision farming},
+  author={Shinde, Sayali and Attar, Vahida},
+  journal={Data in Brief},
+  volume={61},
+  pages={111691},
+  year={2025},
+  publisher={Elsevier}
+}
+```
+
+Shinde, Sayali; Attar, Dr. Vahida; Technological University Pune, COEP; Technology Innovation Hub, Indian Statistical Institute Kolkata, IDEAS (2025), “MH-Weed16:An Indian Multiclass Annotated Weed Dataset for Computer Vision Tasks ”, Mendeley Data, V2, doi: 10.17632/d3n3mgjjbv.2