Satellite Imagery Datasets: Curated Index for Ship Detection and Segmentation

This repository, maintained by jasonmanesis and updated in January 2025, serves as a curated index of radar (SAR) and optical satellite datasets for maritime monitoring. It catalogs specific resources for ship detection, classification, and segmentation tasks, including benchmarks like xView, SSDD, and HRSID.

Use Cases

• Training object detection models using SAR imagery from the SSDD or HRSID entries
• Developing semantic segmentation masks for maritime analysis using optical satellite data
• Evaluating vessel classification performance across different sensor types listed in the repository

Strengths

• Aggregates both Synthetic Aperture Radar (SAR) and optical imagery sources
• Categorizes datasets by four specific CV tasks: detection, classification, semantic segmentation, and instance segmentation
• Includes links to established benchmarks like xView and HRSID

Limitations

• Acts as a directory rather than a data host, requiring external downloads for each source
• Lacks standardized metadata for the image resolution or total file size of every listed dataset

Provenance

Source

jasonmanesis (GitHub)

Collection Method

curated list

Freshness

Updated as of January 2025.

Geography

Global