Update README.md

README.md

@@ -18,4 +18,33 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc0-1.0
+task_categories:
+- image-segmentation
+size_categories:
+- 1K<n<10K
 ---
+# Strawberry Runner Segmentation
+
+A dataset for semantic segmentation of strawberry runners. The dataset contains 3,345 images with pixel-level mask annotations.
+
+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{zhou2025deep,
+  title={Deep learning for strawberry runner detection integrating ground and aerial imaging},
+  author={Zhou, Xue and Wang, Xu and Ji, Liyike and Daggubati, Santhi and Shen, Kai and Whitaker, Vance M.},
+  journal={Smart Agricultural Technology},
+  volume={12},
+  pages={101290},
+  year={2025},
+  publisher={Elsevier}
+}
+```
+Zhou, Xue; Wang, Xu; Whitaker, Vance et al. (2025). Ground and aerial imagery dataset for strawberry breeding trials: Training deep learning models for runner detection and segmentation [Dataset]. Dryad. https://doi.org/10.5061/dryad.bzkh189nw
+
+*This dataset was reformatted from its original format to match HuggingFace standards.*