Awesome-Sonar-Image-Resources

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Awesome-Sonar-Image-Resources

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This repo gathers open-source sonar image resources for classification, detection, and segmentation.

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# Awesome Sonar Image Resources

This repo gathers open-source sonar image resources for classification, detection, and segmentation.

> :mega:More open resources links are welcome:smiley:. Let's build a better open-source environment for sonar image recognition community together!:heart:Please feel free to contribute!

## :file_folder:Datasets

### 1. Classification

**1.[NKSID](https://github.com/Jorwnpay/NK-Sonar-Image-Dataset)**

**Description**: A newly created forward-looking sonar image recognition benchmark, named NanKai Sonar Image Dataset (NKSID). This dataset contains 2617 images from 8 categories, with labels showing a natural long tail distribution.

**2.[SeabedObjects-KLSG](https://github.com/huoguanying/SeabedObjects-Ship-and-Airplane-dataset)**

**Description**: This open dataset contains 385 ship images and 62 airplane images, and can be used for acedemic purpose.

**3.[marine-debris-fls-datasets-turntable-cropped](https://github.com/mvaldenegro/marine-debris-fls-datasets/tree/master/md_fls_dataset/data/turntable-cropped)**

**Description**: Marine-Debris Datasets captured with a Forward-Looking Sonar in a water tank and turntable using an ARIS Explorer 3000 Sonar. The turntable dataset is captured with the sonar in a fixed position and pose, while objects are placed in a rotating turntable, allowing to capture a full yaw rotation of each object. For now only a classification task is available.

### 2. Detection

**1.[Forward-looking-Sonar-Detection-Dataset](https://github.com/XingYZhu/Forward-looking-Sonar-Detection-Dataset)**

**Description**: This forward-looking sonar(FLS) detection dataset including underwater *victim, boat, and plane* data. All the FLS data is obtained by Oculus M1200d sonar for academic research.

**2.[SCTD: Sonar Common Target Detection Dataset](https://github.com/freepoet/SCTD)**

**Description**:  It collected 497 high resolution images obtained by side-scan sonars, forward-looking sonars, and (interferometric) synthetic aperture sonars, on which 596 targets are included. (The average number of targets per image is 1.2.)

**3.[UATD](https://openi.pcl.ac.cn/OpenOrcinus_orca/URPC2021_sonar_images_dataset)**

**Description**: The Pengcheng Laboratory provided this underwater sonar image dataset, comprising 7600 sonar images, and made it available as scientific data. This dataset includes three categories of regular geometric structure objects (cube, ball, and cylinder) and seven other types of underwater objects (human body, metal bucket, tyre, square cage, circle cage, plane, and ROV).

**4.[LSOD](https://github.com/Jelly0618/LSOD)**

**Description**: This is a repo for small target sonar image detection. Full dataset will be available after their paper being accepted.

### 3. Segmentation

**1.[Forward-looking-Sonar-Segmentation-Dataset](https://github.com/XingYZhu/Forward-looking-Sonar-Segmentation-Dataset)**

**Description**: This forward-looking sonar(FLS) segmentation dataset including underwater boat and plane data. All the FLS data is obtained by Oculus M1200d sonar for academic research.

**2.[marine-debris-fls-datasets-watertank-segmentation](https://github.com/mvaldenegro/marine-debris-fls-datasets)**

**Description**: The dataset consists of images obtained from a forward looking SONAR and the corresponding semantic labels for 11 classes (except background).

### 4. Others

**1.[OpenSonarDatasets](https://github.com/remaro-network/OpenSonarDatasets)**

**Description**: A repository dedicated to consolidate open-source sonar datasets for underwater research and development. They provided a comprehensive summary of the currently available sonar datasets, which is an excellent piece of work.

## :computer:Codes

### 1. Classification

**1.[ZSL-SSS](https://github.com/guizilaile23/ZSL-SSS)**

**Description**: zero shot side scan sonar image classification code for **Applied Acoustics 2021** paper “<u>[Zero shot objects classification method of side scan sonar image based on synthesis of pseudo samples](https://www.sciencedirect.com/science/article/pii/S0003682X20307957)</u>”

**2.[ssl-sonar-images](https://github.com/agrija9/ssl-sonar-images)**

**Description**: This is the official repository for the [Self-supervised Learning for Sonar Image Classification](https://arxiv.org/abs/2204.09323) paper published at **CVPR2022 workshop**.

**3.[TGRS_BETL](https://github.com/Jorwnpay/TGRS_BETL)**

**Description**: This repo shows the source code of **IEEE TGRS 2022** article: [Sonar Images Classification While Facing Long-Tail and Few-Shot](https://ieeexplore.ieee.org/document/9910166).

**4.[TFRN](https://github.com/guizilaile23/TFRN)**

**Description**: Code and data of **Remote Sensing 2023** article: [A Texture Feature Removal Network for Sonar Image Classification and Detection](https://www.mdpi.com/2072-4292/15/3/616). (Baidu Cloud link)

**5.[Sonar-OLTR](https://github.com/Jorwnpay/Sonar-OLTR)**

**Description**: This repo contains the implementation code for the **ESWA 2024** article [Open-set recognition with long-tail sonar images](https://www.sciencedirect.com/science/article/pii/S0957417424003609).

**6.[GCEANet](https://github.com/baizhongyu/GCEANet)**

**Description**: The source code of the **IEEE TIM 2024** paper [Side-Scan Sonar Image Classification With Zero-Shot and Style Transfer](https://ieeexplore.ieee.org/document/10399359).

**7.[FETL](https://github.com/baizhongyu/FETL)**

**Description**: The source code of the paper Feature Enhancement-Based Transfer Learning for Few-Shot Sonar Image Classification. (Not available yet).

**8.[GZSL](https://github.com/JiaYP0433/CADA-Generalized-Zero-Shot-Side-Scan-Sonar-Image-Classification)**

**Description**:  The source code of the **IEEE TIM 2025** paper CADA-SSS Generalized Zero Shot Side Scan Sonar Image Classification.

### 2. Detection

**1.[underwater-object-detection](https://github.com/zhengye1995/underwater-object-detection)**

This is a repo for `Kesci underwater object detection algorithm contest`. (Readme file is in Chinese)

**2.[autodetector](https://github.com/automlresearch/autodetector)**

This is the official codes for IEEE TGRS 2021 paper `Self-trained detection detectors are implemented on small-scale Radar and Sonar detection datasets`.

### 3. Low-Level Tasks
**1.[WFC-BSN](https://github.com/xzq-2000/WFC-BSN)**

The code of EAAI 2025 article "WFC-BSN:Wavelet Fusion-Based Conditional Blind-Spot Network for Self-Supervised Forward Sonar Denoising".

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