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UIIS10K

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This repo is the official implementation of "Advancing Marine Research: UWSAM Framework and UIIS10K Dataset for Precise Underwater Instance Segmentation"

// repository documentation

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# UIIS10K
[![issues](https://img.shields.io/github/issues/LiamLian0727/UIIS10K)](https://github.com/LiamLian0727/UIIS10K/issues)
[![forks](https://img.shields.io/github/forks/LiamLian0727/UIIS10K?style=flat&color=orange)](https://github.com/LiamLian0727/UIIS10K/fork)
[![stars](https://img.shields.io/github/stars/LiamLian0727/UIIS10K?style=flat&color=red)](https://github.com/LiamLian0727/UIIS10K/stargazers)
[![huggingface](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Paper-FFD21E)](https://huggingface.co/papers/2505.15581)
[![huggingface](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Dataset-FFD21E)](https://huggingface.co/datasets/LiamLian0727/UIIS10K)
[![arXiv](https://img.shields.io/badge/arXiv-2505.15581-b31b1b.svg)](https://arxiv.org/abs/2505.15581)
[![license](https://img.shields.io/github/license/LiamLian0727/UIIS10K)](https://raw.githubusercontent.com/LiamLian0727/UIIS10K/main/LICENSE)

This repository is the official implementation of "[Advancing Marine Research: UWSAM Framework and UIIS10K Dataset for Precise Underwater Instance Segmentation](https://arxiv.org/abs/2505.15581)".

If you found this project useful, please give us a star ⭐️ or [cite](#citation) us in your paper, this is the greatest support and encouragement for us.

## :speech_balloon: Updates
🚩 **News** (2025.05) We propose a large-scale underwater instance segmentation dataset, [**UIIS10K**](#datasets), which includes **10,048 images** with pixel-level annotations for 10 categories. As far as we know, this is **the largest underwater instance segmentation dataset** available and can be used as a benchmark for evaluating underwater segmentation methods.

![dataset_img](https://raw.githubusercontent.com/LiamLian0727/UIIS10K/main/assest/UIIS_Dataset.png)

## Datasets
The dataset follows the COCO format and is organized as follows:
```
    data
      ├── UIIS10K
      |   ├── annotations
      │   │   ├── multiclass_train.json
      │   │   ├── multiclass_test.json
      │   ├── img
      │   │   ├── train_00001.jpg
      │   │   ├── ...
      │   │   ├── test_00001.jpg
      │   │   ├── ...
```
you can get our UIIS10K dataset in [Hugging Face](https://huggingface.co/datasets/LiamLian0727/UIIS10K/tree/main), [Baidu Disk](https://pan.baidu.com/s/1WwDu_jYV8JsPvOGA2l6raQ?pwd=UIIS) (pwd:UIIS), or [Google Drive](https://drive.google.com/file/d/1MYQwWrQW_n9N-q_VPMuQaroIp5gS2f-u/view?usp=sharing).

## Code
Code is coming soon

### Citation
If you find our repo useful for your research, please cite us:
```
@InProceedings{UIIS_Dataset_2023,
    author    = {Shijie Lian, Hua Li, Runmin Cong, Suqi Li, Wei Zhang, Sam Kwong},
    title     = {WaterMask: Instance Segmentation for Underwater Imagery},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2023},
    pages     = {1305-1315}
}

@article{UIIS10K_Dataset_2025,
    author    = {Hua Li, Shijie Lian, Zhiyuan Li, Runmin Cong, Chongyi Li, Laurence T. Yang, Weidong Zhang, Sam Kwong},
    title     = {Advancing Marine Research: UWSAM Framework and UIIS10K Dataset for Precise Underwater Instance Segmentation},
    year      = {2025},
    journal   = {arXiv preprint arXiv:2505.15581},
}
```

## ⭐ Stargazers
[![Stargazers repo roster for @LiamLian0727/USIS10K](https://reporoster.com/stars/LiamLian0727/UIIS10K)](https://github.com/LiamLian0727/UIIS10K/stargazers)

UIIS10K

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