Datasets:
Duplicate from SEA-AI/SEANet
Browse filesCo-authored-by: Ondrej Kafka <kafkaon@users.noreply.huggingface.co>
This view is limited to 50 files because it contains too many changes. See raw diff
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- README.md +72 -0
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README.md
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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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