Update README.md

README.md

@@ -1,3 +1,111 @@
----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+---
+# STAFDD Dataset
+
+## Overview
+The **STAFDD Dataset** is a fish disease detection dataset designed for training and evaluating deep learning models under aquaculture scenarios.  
+It supports **object detection**, **spatio-temporal analysis**, and **video-based disease assessment**, and is used in the paper:
+
+> **STAFDD: A Spatio-Temporal Automatic Fish Disease Detection Method**
+
+The dataset is organized in **YOLO format** and includes:
+- Annotated images for YOLO-based training
+- Pretrained `.pt` model weights
+- Raw test videos for inference and evaluation
+
+---
+
+## Dataset Structure
+The dataset is organized as follows:
+
+STAFDD-dataset/
+├── images/
+│ ├── train/
+│ ├── val/
+│ └── test/
+├── labels/
+│ ├── train/
+│ ├── val/
+│ └── test/
+├── videos/
+│ └── test_videos/
+├── models/
+│ └── ReID.pt
+├── data.yaml
+└── README.md
+
+
+- `images/`: RGB images extracted from aquaculture videos  
+- `labels/`: YOLO-format annotations (`.txt`)  
+- `videos/`: Raw test videos used for model evaluation  
+- `models/`: Pretrained model weights (`.pt`)  
+- `data.yaml`: YOLO training configuration file
+
+---
+
+## Annotation Format
+Annotations follow the **YOLO object detection format**:
+
+<class_id> <x_center> <y_center> <width> <height>
+
+
+- Coordinates are normalized to `[0, 1]`
+- One annotation file per image
+- Bounding boxes correspond to visible disease-related regions on fish bodies
+
+---
+
+## Classes
+The dataset focuses on **fish disease-related visual symptoms**.  
+Class definitions are consistent with those described in the associated paper.
+
+> ⚠️ Note: Class semantics should be interpreted together with the experimental section of the paper.
+
+---
+
+## Data Splits
+The dataset is divided into three subsets:
+
+- **Training set**
+- **Validation set**
+- **Test set**
+
+To reduce data leakage, frame sampling and dataset splitting are performed with temporal consistency considerations, avoiding random shuffling of adjacent video frames.
+
+---
+
+## Intended Use
+This dataset is intended for:
+- Fish disease detection
+- Small object detection in aquaculture environments
+- Video-based disease analysis
+- Research on spatio-temporal fish health monitoring
+
+It is suitable for training YOLO-based detectors and evaluating models on real-world aquaculture videos.
+
+---
+
+## License
+This dataset is released under the **CC BY 4.0** license.
+
+---
+
+## Citation
+If you use this dataset, please cite the following paper:
+
+```bibtex
+@article{wang2024stafdd,
+  title={STAFDD: A Spatio-Temporal Automatic Fish Disease Detection Method},
+  author={Wang, Bo and others},
+  journal={},
+  year={2024}
+}
+
+
+Contact
+
+For questions or collaborations, please contact:
+
+Bo Wang
+Email: 3020201781@jsnu.edu