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jasonmanesis/Satellite-Imagery-Datasets-Containing-Ships

This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets are ideal for applications in computer vision, machine learning, remote sensing, and maritime analysis.

47MIT

View on GitHub

Stars: 603
Forks: 77
Watchers: 9
Open issues: 3
Contributors: 2

Star history, last 90 days+2 over 6 snapshots

2026-07-24 · 6012026-08-06 · 603

Star history, last 90 days
Date	Stars
2026-07-24	601
2026-07-25	601
2026-07-28	601
2026-07-30	601
2026-07-31	602
2026-08-06	603

Today

+1 stars today

This week

+2 stars this week

This month

— stars this month

Momentum

0.0

growth rate 0.33%/day

From the README

![GitHub latest commit](https://img.shields.io/maintenance/yes/2025?style=plastic&service=github)
![GitHub latest commit](https://img.shields.io/github/last-commit/jasonmanesis/Satellite-Imagery-Datasets-Containing-Ships?style=plastic&service=github)
![Contributions](https://img.shields.io/badge/contributions-welcome-lightblue?style=plastic)
![Contributions](https://img.shields.io/badge/license-MIT-lightblue?style=plastic)

# **Satellite imagery datasets containing ships.**<a name="TOP"></a> 

<p align="justify">
This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets are ideal for applications in computer vision, machine learning, remote sensing, and maritime analysis. 
Explore high-quality datasets tailored for both research and real-world applications, including maritime surveillance, naval operations, and the development of autonomous systems.

If you find this repository useful, please consider giving it a ⭐ star. Your support helps the project grow. Thank you!  
</p>

# :satellite: Radar Satellite Datasets 
## A) Table with available datasets:
<table border="1" align="center"> 
  <caption><b></b></caption> 
  <tr>
    <td rowspan="2"><b>No.</b></td>
    <td rowspan="2"><b>Dataset Name</b></td>
    <td rowspan="2"><b>Authors</b></td>
    <td rowspan="2"><b>Year</b></td>
    <td colspan="5"><b>Task</b></td>
    <td rowspan="2"><b>Dataset Access</b></td>
  </tr>
  <tr>
    <td><i>Detection</i></td>
    <td><i>Semantic Segmentation</i></td>
    <td><i>Instance Segmentation</i></td>
    <td><i>Classification</i></td>
    <td><i>Regression</i></td>
  </tr>
  <tr>
    <td>1</td>
    <td>SSDD (SAR Ship Detection Dataset)</td>
    <td>Li et al.</td>
    <td>2017</td>
    <td>:heavy_check_mark:</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:ballot_box_with_check:</td>
  </tr>
  <tr>
    <td>2</td>
    <td>OpenSARship-1.0, 2.0</td>
    <td>Huang et al.</td>
    <td>2017</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:ballot_box_with_check:</td>
  </tr>  
  <tr>
    <td>3</td>
    <td>SAR-Ship-Dataset</td>
    <td>Wang et al.</td>
    <td>2019</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>⛔</td>
  </tr>
  <tr>
    <td>4</td>
    <td>AIR-SARShip-1.0, 2.0</td>
    <td>Sun et al.</td>
    <td>2019</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>⛔</td>
  </tr>  
  <tr>
    <td>5</td>
    <td>HRSID (High-Resolution SAR Images Dataset)</td>
    <td>Wei et al.</td>
    <td>2020</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:ballot_box_with_check:</td>
  </tr>
  <tr>
    <td>6</td>
    <td>LS-SSDD-v1.0 (Large-Scale SAR Ship Detection Dataset)</td>
    <td>Zhang et al.</td>
    <td>2020</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:ballot_box_with_check:</td>
  </tr>  
  <tr>
    <td>7</td>
    <td>FUSAR-Ship Dataset v1.0</td>
    <td>Hou et al.</td>
    <td>2020</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:ballot_box_with_check:</td>
  </tr>
  <tr>
    <td>8</td>
    <td>SSDD (SAR Ship Detection Dataset)</td>
    <td>Zhang et al.</td>
    <td>2021</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:ballot_box_with_check:</td>
  </tr>  
  <tr>
    <td>9</td>
    <td>DSSDD (Dual-polarimetric SAR Ship Detection Dataset)</td>
    <td>Hu et al.</td>
    <td>2021</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>

Excerpt of 41,318 characters

Read on GitHub

Top contributors2 shown

jasonmanesis
37
RitwikGupta
Ritwik Gupta · University of Maryland · United States
1

Quality score

Would you bet a product on this? Bounded 0–100 and slow moving.

47/10047

Maintenance: 5%; How recently the default branch was pushed to
Releases: 25%; Recency and cadence of tagged releases
Community: 9%; Contributor breadth and bus factor
Issue backlog: 100%; Open issues measured against the size of the audience
Documentation: 100%; README depth, plus a homepage and topics
Licensing: 100%; How freely the code can be adopted

What to know before adopting

No commits in over a year
No tagged releases
Bus factor of 1 — one contributor dominates
Usable in commercial products with attribution.

Details

Created: 5 years ago
Last push: 2 years ago
Last release: none
Release tag: —
Releases in the last year: 0
Default branch: main
Size: 423 KB
Owner type: User
Owner location: Athens, Greece
Discovered via: topic:computer-vision
First indexed: 14 days ago
Last synced: 2 hours ago

jasonmanesis/Satellite-Imagery-Datasets-Containing-Ships

47MIT

View on GitHub

Stars: 603
Forks: 77
Watchers: 9
Open issues: 3
Contributors: 2

Star history, last 90 days+2 over 6 snapshots

2026-07-24 · 6012026-08-06 · 603

Star history, last 90 days
Date	Stars
2026-07-24	601
2026-07-25	601
2026-07-28	601
2026-07-30	601
2026-07-31	602
2026-08-06	603

Today

+1 stars today

This week

+2 stars this week

This month

— stars this month

Momentum

0.0

growth rate 0.33%/day

From the README

![GitHub latest commit](https://img.shields.io/maintenance/yes/2025?style=plastic&service=github)
![GitHub latest commit](https://img.shields.io/github/last-commit/jasonmanesis/Satellite-Imagery-Datasets-Containing-Ships?style=plastic&service=github)
![Contributions](https://img.shields.io/badge/contributions-welcome-lightblue?style=plastic)
![Contributions](https://img.shields.io/badge/license-MIT-lightblue?style=plastic)

# **Satellite imagery datasets containing ships.**<a name="TOP"></a> 

<p align="justify">
This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets are ideal for applications in computer vision, machine learning, remote sensing, and maritime analysis. 
Explore high-quality datasets tailored for both research and real-world applications, including maritime surveillance, naval operations, and the development of autonomous systems.

If you find this repository useful, please consider giving it a ⭐ star. Your support helps the project grow. Thank you!  
</p>

# :satellite: Radar Satellite Datasets 
## A) Table with available datasets:
<table border="1" align="center"> 
  <caption><b></b></caption> 
  <tr>
    <td rowspan="2"><b>No.</b></td>
    <td rowspan="2"><b>Dataset Name</b></td>
    <td rowspan="2"><b>Authors</b></td>
    <td rowspan="2"><b>Year</b></td>
    <td colspan="5"><b>Task</b></td>
    <td rowspan="2"><b>Dataset Access</b></td>
  </tr>
  <tr>
    <td><i>Detection</i></td>
    <td><i>Semantic Segmentation</i></td>
    <td><i>Instance Segmentation</i></td>
    <td><i>Classification</i></td>
    <td><i>Regression</i></td>
  </tr>
  <tr>
    <td>1</td>
    <td>SSDD (SAR Ship Detection Dataset)</td>
    <td>Li et al.</td>
    <td>2017</td>
    <td>:heavy_check_mark:</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:ballot_box_with_check:</td>
  </tr>
  <tr>
    <td>2</td>
    <td>OpenSARship-1.0, 2.0</td>
    <td>Huang et al.</td>
    <td>2017</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:ballot_box_with_check:</td>
  </tr>  
  <tr>
    <td>3</td>
    <td>SAR-Ship-Dataset</td>
    <td>Wang et al.</td>
    <td>2019</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>⛔</td>
  </tr>
  <tr>
    <td>4</td>
    <td>AIR-SARShip-1.0, 2.0</td>
    <td>Sun et al.</td>
    <td>2019</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>⛔</td>
  </tr>  
  <tr>
    <td>5</td>
    <td>HRSID (High-Resolution SAR Images Dataset)</td>
    <td>Wei et al.</td>
    <td>2020</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:ballot_box_with_check:</td>
  </tr>
  <tr>
    <td>6</td>
    <td>LS-SSDD-v1.0 (Large-Scale SAR Ship Detection Dataset)</td>
    <td>Zhang et al.</td>
    <td>2020</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:ballot_box_with_check:</td>
  </tr>  
  <tr>
    <td>7</td>
    <td>FUSAR-Ship Dataset v1.0</td>
    <td>Hou et al.</td>
    <td>2020</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:ballot_box_with_check:</td>
  </tr>
  <tr>
    <td>8</td>
    <td>SSDD (SAR Ship Detection Dataset)</td>
    <td>Zhang et al.</td>
    <td>2021</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:ballot_box_with_check:</td>
  </tr>  
  <tr>
    <td>9</td>
    <td>DSSDD (Dual-polarimetric SAR Ship Detection Dataset)</td>
    <td>Hu et al.</td>
    <td>2021</td>
    <td>:heavy_check_mark:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>
    <td>:x:</td>

Excerpt of 41,318 characters

Read on GitHub

Top contributors2 shown

jasonmanesis
37
RitwikGupta
Ritwik Gupta · University of Maryland · United States
1

Quality score

Would you bet a product on this? Bounded 0–100 and slow moving.

47/10047

Maintenance: 5%; How recently the default branch was pushed to
Releases: 25%; Recency and cadence of tagged releases
Community: 9%; Contributor breadth and bus factor
Issue backlog: 100%; Open issues measured against the size of the audience
Documentation: 100%; README depth, plus a homepage and topics
Licensing: 100%; How freely the code can be adopted

What to know before adopting

No commits in over a year
No tagged releases
Bus factor of 1 — one contributor dominates
Usable in commercial products with attribution.

Details

Created: 5 years ago
Last push: 2 years ago
Last release: none
Release tag: —
Releases in the last year: 0
Default branch: main
Size: 423 KB
Owner type: User
Owner location: Athens, Greece
Discovered via: topic:computer-vision
First indexed: 14 days ago
Last synced: 2 hours ago

Top AI Repos — open-source AI, indexed and scored

jasonmanesis/Satellite-Imagery-Datasets-Containing-Ships

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Top contributors2 shown

Quality score

What to know before adopting

Categories

Details

jasonmanesis/Satellite-Imagery-Datasets-Containing-Ships

From the README

Top contributors2 shown

Quality score

What to know before adopting

Categories

Details

Top AI Repos — open-source AI, indexed and scored

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What to know before adopting

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