README.md

---
dataset_name: SEADs
pretty_name: "SEADs: Maritime Multimodal Panoptic Dataset"
tags:
- panoptic-segmentation
- object-detection
- multimodal
- maritime
- thermal
- rgb
license: cc-by-nc-sa-4.0
task_categories:
- image-segmentation
- object-detection
size_categories:
- 1K<n<10K
language:
- en
---

# SEADs: Maritime Multimodal Panoptic Segmentation Dataset 🌊🚢

## Dataset Summary
This dataset contains **multimodal maritime imagery** for **panoptic segmentation** and **object detection** tasks.  
It includes aligned **RGB and thermal images**, with **merged panoptic annotations** in COCO format.  

The dataset is particularly designed for tasks such as:
- Vessel and obstacle detection
- Water-sky-land segmentation
- Multimodal feature fusion (RGB + Thermal)
- Horizon detection

⚠️ **Status: Work in Progress**  
This dataset is still under construction.  
- We are continuously **adding more images**  
- Polishing the **annotation format** (COCO Panoptic standard)  
- Improving **mask quality** and consistency   

Please expect changes in structure and annotations over time, we wil let you know once the dataset is fully finished! 

## Dataset Structure
```
dataset/
│── images/
│ ├── rgb/ # RGB images
│   ├── train/
│   ├── val/
│ ├── thermal/ # Thermal images (aligned with RGB)
│   ├── train/
│   ├── val/
│── annotations/
│ ├── panoptic_train/
│ ├── panoptic_val/
│ ├── panoptic_train.json
│ └── panoptic_val.json
```

- Each sample has both **RGB** and **Thermal** inputs
- A single **merged panoptic annotation** (union of RGB + thermal labels)



## Usage

## Citation

## License
CC BY-NC 4.0

## Contact

For questions or contributions, please reach out to: ondrej.kafka@sea.ai