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README.md

@@ -26,4 +26,31 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- object-detection
+size_categories:
+- n<1K
 ---
+# Bmsb Stinkbug Detection
+
+This dataset comprises real-world RGB images of Brown Marmorated Stink Bugs (BMSB) captured in field conditions within Italian orchards. Images were collected using a fixed-position OpenMV Cam H7 Plus camera operating at 1600x1200 resolution, providing naturalistic depictions of the pest in agricultural settings for object detection research. The dataset contains 476 images with 3,813 bounding box annotations across 1 category.
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{kargar2024detecting,
+  title={Detecting Halyomorpha halys using a low-power edge-based monitoring system},
+  author={Kargar, Amin and Zorbas, Dimitrios and Tedesco, Salvatore and Gaffney, Michael and O’Flynn, Brendan},
+  journal={Computers and Electronics in Agriculture},
+  volume={221},
+  pages={108935},
+  year={2024},
+  publisher={Elsevier}
+}
+```
+
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*