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.
The repository catalogs 30+ radar and optical datasets with structured metadata tables mapping dataset capabilities (detection, segmentation, classification, regression) and access status, enabling researchers to identify task-specific training data across SAR sensors (Sentinel-1, TerraSAR-X, RadarSat-2) and optical platforms. Datasets range from 1,160 to 34,500+ imagery chips with varied polarization modes (VV/VH/HH/HV), spatial resolutions (1-15m/pixel for SAR), and annotation formats (JSON, XML for AIS metadata integration), supporting both synthetic aperture radar and multispectral approaches for maritime object detection workflows.
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