update readme

update readme April 3, 2026

README.md

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-license: cc-by-nc-sa-4.0
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+# MSDD: Maize Seedling Dataset for Stand Counting
+
+## Overview
+The MSDD (Maize Seedling Dataset) is designed for plant detection and stand counting tasks in agricultural environments.  
+It contains aerial imagery of maize genetic nurseries with annotations for early-stage seedling detection and classification.
+
+The dataset is provided in YOLO format and supports training with modern object detection frameworks such as YOLOv9, YOLOv10, and YOLOv11/12.
+
+---
+
+## Directory Structure
+
+```
+yolo_format/
+├── training/
+│   ├── images/
+│   └── labels/
+├── validation/
+│   ├── images/
+│   └── labels/
+├── test/
+│   ├── images/
+│   └── labels/
+├── yolov9_data.yaml
+├── yolov11-v12_data.yaml
+└── README.md
+```
+
+### Description
+
+- `training/images/` — training images  
+- `training/labels/` — YOLO annotations for training images  
+
+- `validation/images/` — validation images  
+- `validation/labels/` — YOLO annotations for validation images  
+
+- `test/images/` — test images  
+- `test/labels/` — YOLO annotations for test images  
+
+- `yolov9_data.yaml` — configuration file for YOLOv9 training  
+- `yolov11-v12_data.yaml` — configuration file for YOLOv11/YOLOv12 training  
+
+---
+
+## Annotation Format
+
+Annotations follow the standard YOLO format.
+
+Each label file contains one object per line:
+
+```
+<class_id> <x_center> <y_center> <width> <height>
+```
+
+- Coordinates are normalized to the range `[0, 1]`
+- Each `.txt` file corresponds to one image with the same filename
+
+---
+
+## Classes
+
+| Class ID | Description |
+|--------|------------|
+| 0 | single |
+| 1 | double |
+| 2 | triple |
+
+---
+
+## Dataset Usage
+
+### Example (YOLOv9)
+
+```bash
+yolo task=detect mode=train model=yolov9-c.pt data=yolov9_data.yaml
+```
+
+### Example (YOLOv11 / YOLOv12)
+
+```bash
+yolo task=detect mode=train model=yolo11.pt data=yolov11-v12_data.yaml
+```
+
+---
+
+## YAML Configuration Files
+
+### yolov9_data.yaml
+```yaml
+train: <path_to_dataset>/training/images
+val: <path_to_dataset>/test/oblique/images
+test: <path_to_dataset>//test/all/images
+
+nc: 3
+names: 
+  0: Single
+  1: Double
+  2: Triple
+```
+
+### yolov11-v12_data.yaml
+```yaml
+path: <path_to_dataset>/
+
+train: training/images
+val: test/shadow/long/images
+test: test/all/images
+
+names: 
+  0: Single
+  1: Double
+  2: Triple
+```
+
+---
+
+## Citation
+
+
+This dataset is associated with a manuscript under review and is currently available as a preprint.
+
+If you use this dataset, please cite:
+
+Dewi Endah Kharismawati and Toni Kazic.  
+*Maize Seedling Detection Dataset (MSDD): A Curated High-Resolution RGB Dataset for Seedling Maize Detection and Benchmarking with YOLOv9, YOLO11, YOLOv12 and Faster-RCNN*.  
+arXiv preprint arXiv:2509.15181, 2025.  
+DOI: 10.48550/arXiv.2509.15181
+
+### BibTeX
+
+```bibtex
+@article{kharismawati2025msdd,
+  title={Maize Seedling Detection Dataset (MSDD): A Curated High-Resolution RGB Dataset for Seedling Maize Detection and Benchmarking with YOLOv9, YOLO11, YOLOv12 and Faster-RCNN},
+  author={Kharismawati, Dewi Endah and Kazic, Toni},
+  journal={arXiv preprint arXiv:2509.15181},
+  year={2025},
+  doi={10.48550/arXiv.2509.15181}
+}
+```
+
+---
+
+## License
+
+Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
+
+https://creativecommons.org/licenses/by-nc-sa/4.0/
+
+---
+
+## Contact
+
+Dewi Endah Kharismawati, Ph.D
+kharismawati.2@osu.edu