Ship Detection Algorithm, In this context, we conduct a critical
Ship Detection Algorithm, In this context, we conduct a critical review of the state-of-the-art ship detection techniques based on deep learning. Firstly, we delve into four main challenges in ship detection and To address the aforementioned issues, this paper proposes a more efficient and lightweight network model called EL-YOLO for intelligent ship-based object detection in maritime environments. Accurate ship object detection ensures navigation safety and effective maritime traffic management. The utilization of this Experiments were carried out on the public SeaShips dataset. Building a complete Ship detection algorithm using YOLOv3 and Planet satellite images from scratch The repository contains the code for this Within the recent timeframe, the detection of ships in SAR images has become a critical task for many countries. The potent feature extraction capabilities of deep learning algorithms render them pivotal for these tasks. com. This paper enlightens object recognition algorithms that are currently available. Aiming to solve the problems of large-scale changes, the dense occlusion of ship targets, and a low detection accuracy caused by challenges in Visual object detection and tracking is a fundamental task in artificial intelligence and plays a crucial role in various maritime applications, leadi With the rapid development of marine trade, the demand of ship target detection is increasing. With the widespread application of ship detection in civilian and military domains, ship detection in optical remote sensing images has become an important research direction.