Ship detection from satellite: Datasets & Models
Detect and localize ships in satellite and aerial imagery using object detection. Turns raw overhead pixels into structured vessel locations for maritime monitoring.
Ship detection from satellite
This detection workflow locates ships in overhead imagery, drawing bounding boxes around each vessel found in open water, ports, and coastal areas. It takes optical or panchromatic satellite tiles as input and returns structured vessel coordinates, and it can be trained on a ship dataset for maritime monitoring, counting, and traffic analysis.
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Why automate ship detection from satellite
Manually scanning satellite passes for vessels is slow, inconsistent, and does not scale to the volume of imagery modern geospatial programs collect daily. Analysts miss small craft, get fatigued across thousands of square kilometers, and cannot re-review historical archives fast enough to spot dark vessels or illegal fishing. Automating ship detection lets you process entire coastlines on a schedule, flag anomalies, and free analysts to investigate rather than search. For drones and geospatial teams, that means faster maritime domain awareness and repeatable coverage instead of spot checks.
Key benefits
A detection model applied to your existing satellite feeds delivers consistent vessel counts and locations across every scene, with no added sensors or hardware. RF-DETR handles the small, densely packed objects and cluttered backgrounds typical of overhead maritime imagery, and the pipeline scales from a single harbor to nationwide coastal monitoring by tiling large images. Detections export as structured coordinates ready to plug into GIS tools and change-detection workflows.
How to use it
- Upload an image: Drop any photo into the widget above to try ship detection from satellite for free, right on this page.
- Preview instant results: The model detects cargo ship, tanker, fishing boat, sailboat, dock within seconds and returns an annotated image with structured predictions, so you can immediately see how well it works. Adjust the detection classes and re-run until the results fit your scenario.
- Like what you see?: With a free Roboflow account, you can deploy this workflow with the Serverless Cloud API, customize it in your workspace, or train RF-DETR on your own images for production accuracy.
- Get started for free: No code or training data required to begin: upload, review the results, and make it part of your stack in a single click.
Recommended model for ship detection from satellite
RF-DETR is state of the art for real-time object detection, instance segmentation, and keypoint detection, with higher accuracy and lower latency than comparable models, and it's Apache 2.0 licensed. When you're ready to build a production model for ship detection from satellite, fine-tune it on your own labeled images, then deploy to a Serverless Cloud API endpoint.
Not sure where to start?
Describe your Ship Detection From Satellite project to Roboflow Agent.