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README.md

@@ -26,4 +26,33 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- object-detection
+size_categories:
+- n<1K
 ---
+# Cottonsim Detection
+
+This dataset provides synthetic images of cotton plants in agricultural settings for object detection in crop monitoring. Captured using RealSense RGB-D cameras on a ground-based platform, the imagery simulates field conditions to support vision-guided agricultural robotics development. The dataset contains 40 images with 1,093 bounding box annotations across 1 category.
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+The original train/test/val split has been preserved in the `split` column.
+
+## Citation
+
+```bibtex
+@article{thayananthan2025cottonsim,
+  title={CottonSim: A vision-guided autonomous robotic system for cotton harvesting in Gazebo simulation},
+  author={Thayananthan, Thevathayarajh and Zhang, Xin and Huang, Yanbo and Chen, Jingdao and Wijewardane, Nuwan K. and Martins, Vitor S. and Chesser, Gary D. and Goodin, Christopher T.},
+  journal={Computers and Electronics in Agriculture},
+  volume={239},
+  pages={110963},
+  year={2025},
+  publisher={Elsevier}
+}
+```
+
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*