sethubolt7/YOLOV8_SAR_SHIP_DETECTION
YOLOv8 SAR Ship Detection leverages the YOLOv8 model to detect ships in SAR images and videos. It provides a Streamlit app for real-time detection, displaying bounding boxes around ships with or without confidence scores.
This project helps maritime surveillance and operations personnel automatically identify ships in Synthetic Aperture Radar (SAR) images and videos. You upload your SAR imagery, and it highlights detected ships with bounding boxes, also providing a count of vessels. This is ideal for professionals monitoring maritime traffic, conducting search and rescue, or performing reconnaissance.
No commits in the last 6 months.
Use this if you need a quick and easy way to detect and count ships in SAR images or video feeds without complex setup.
Not ideal if you need to detect objects other than ships, require extreme precision in all weather conditions, or demand a solution integrated into existing enterprise systems.
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Language
Python
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Last pushed
Apr 17, 2025
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