Updated README.md

README.md

@@ -1,3 +1,75 @@
+# Transverse Cirrus Bands (TCB) Dataset
+
+## Dataset Overview
+
+This dataset contains manually annotated satellite imagery of **Transverse Cirrus Bands (TCBs)**, a type of cloud formation often associated with atmospheric turbulence. The dataset is formatted for object detection tasks using the **YOLO** and **COCO** annotation formats, making it suitable for training deep learning models for automated TCB detection.
+
+## Data Collection
+
+- **Source**: NASA-IMPACT Data Share
+- **Satellite Sensors**: VIIRS (Visible Infrared Imaging Radiometer Suite), MODIS (Moderate Resolution Imaging Spectroradiometer)
+- **Acquisition Method**: Downloaded via AWS S3
+
+## Annotation Details
+
+- **Format**: YOLO (.txt) and COCO (.json)
+- **Bounding Box Labels**: Transverse Cirrus Bands (TCB)
+- **Annotation Tool**: MakeSense.ai
+- **Total Images**: X (To be specified)
+- **Train/Validation/Test Split**: 70% / 20% / 10%
+
+## File Structure
+
+```
+TCB_Dataset/
+│── images/
+│   ├── train/
+│   ├── val/
+│   ├── test/
+│── labels/
+│   ├── train/
+│   ├── val/
+│   ├── test/
+│── annotations/
+│   ├── COCO_format.json
+│── README.md
+```
+
+## Potential Applications
+
+- **Turbulence Detection**: Enhancing aviation safety by predicting turbulence-prone regions.
+- **AI-based Weather Prediction**: Training deep learning models for real-time cloud pattern analysis.
+- **Climate Research**: Studying the impact of TCBs on atmospheric dynamics and climate change.
+- **Satellite-based Hazard Assessment**: Detecting and monitoring extreme weather events.
+
+## How to Use
+
+1. Clone the repository:
+   ```bash
+   git clone <repo_link>
+   ```
+2. Load images and annotations into your object detection model pipeline.
+3. Train models using **YOLOv8** or any compatible object detection framework.
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+```
+@article{TCB_Dataset2024,
+  title={A Manually Annotated Dataset of Transverse Cirrus Bands for Object Detection in Satellite Imagery},
+  author={Your Name},
+  year={2024},
+  journal={Hugging Face Dataset Repository}
+}
+```
+
+## License
+
+mit
+
 ---
-license: mit
----
+
+This dataset is open for contributions. Feel free to submit pull requests or raise issues for improvements!
+
+