argus-maritime-yolov8s is an open-source object detection model based on YOLOv8, fine-tuned for identifying maritime objects such as boats, buoys, and ships. It is designed for use in maritime situational awareness systems and can be integrated into computer vision pipelines by developers. The model supports detection of seven maritime classes and is distributed under the AGPL-3.0 license.
Argus Maritime Yolov8s sits in PulseGate's Other AI category. It focuses on detecting and classifying maritime objects in images for situational awareness systems. Argus Maritime Yolov8s is an open-source project aimed at computer vision developers. The project is open source (MIT). Argus Maritime Yolov8s is available on the web, API, and the command line.
alimkacar builds and maintains Argus Maritime Yolov8s, and the product first shipped in 2026. The project is developed in the open on GitHub with 1 commits in the last 90 days. Among its 5 catalogued features are object detection, maritime detection, and YOLOv8 compatible.
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