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--- |
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dataset_name: SEADs |
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pretty_name: "SEADs: Maritime Multimodal Panoptic Dataset" |
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tags: |
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- panoptic-segmentation |
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- object-detection |
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- multimodal |
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- maritime |
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- thermal |
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- rgb |
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license: cc-by-nc-sa-4.0 |
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task_categories: |
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- image-segmentation |
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- object-detection |
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size_categories: |
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- 1K<n<10K |
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language: |
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- en |
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--- |
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# SEADs: Maritime Multimodal Panoptic Segmentation Dataset 🌊🚢 |
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## Dataset Summary |
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This dataset contains **multimodal maritime imagery** for **panoptic segmentation** and **object detection** tasks. |
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It includes aligned **RGB and thermal images**, with **merged panoptic annotations** in COCO format. |
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The dataset is particularly designed for tasks such as: |
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- Vessel and obstacle detection |
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- Water-sky-land segmentation |
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- Multimodal feature fusion (RGB + Thermal) |
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- Horizon detection |
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⚠️ **Status: Work in Progress** |
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This dataset is still under construction. |
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- We are continuously **adding more images** |
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- Polishing the **annotation format** (COCO Panoptic standard) |
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- Improving **mask quality** and consistency |
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Please expect changes in structure and annotations over time, we wil let you know once the dataset is fully finished! |
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## Dataset Structure |
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``` |
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dataset/ |
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│── images/ |
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│ ├── rgb/ # RGB images |
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│ ├── train/ |
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│ ├── val/ |
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│ ├── thermal/ # Thermal images (aligned with RGB) |
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│ ├── train/ |
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│ ├── val/ |
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│── annotations/ |
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│ ├── panoptic_train/ |
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│ ├── panoptic_val/ |
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│ ├── panoptic_train.json |
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│ └── panoptic_val.json |
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``` |
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- Each sample has both **RGB** and **Thermal** inputs |
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- A single **merged panoptic annotation** (union of RGB + thermal labels) |
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## Usage |
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## Citation |
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## License |
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CC BY-NC 4.0 |
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## Contact |
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For questions or contributions, please reach out to: ondrej.kafka@sea.ai |
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