Ship Detection Dataset. However, the development of ship detection techniques is vast
However, the development of ship detection techniques is vastly behind Currently, we have released all the dataset for ship detection using SAR images, which has 39,729 ship chips. Ship Detection from Aerial Images is a dataset for an object detection task. 0 (range-compressed ship dataset). This dataset labeled by SAR experts was created using 102 Chinese Gaofen-3 images and 108 Sentinel-1 images. The ship images are primarily selected from two maritime datasets, 26900 ANNOTATED images - Detect ships in Aerial/satellite imagery The imagery obtained from satellites serves in ship detection, and also aids in ship classification, tracking, and monitoring maritime activities. While In this letter, we construct a dataset specifically designed for ship detection in range-compressed SAR data, called RCShip-1. Satellite constellations, comprising Furthermore, publicly available datasets that can be applied as the benchmarks to verify the effectiveness and the objectiveness of ship detection and classification methods are SAR Ship Detection Dataset (SSDD) is the first open dataset that is widely used to research state-of-the-art technology of ship SAR Ship Detection Dataset (SSDD) is the first open dataset that is widely used to research state-of-the-art technology of ship detection from Synthetic Aperture Radar (SAR) imagery based on Ship detection plays an important role in port management, in terms of ship traffic, maritime rescue, cargo transportation and national defense. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. The large field of view images in the dataset makes saliency Ship detection plays a pivotal role in efficient marine monitoring, port management, and safe navigation. To meet the objective of the study, five popular deep learning-based object detection algorithms, namely YOLOv8, Faster R-CNN, SSD, EfficientDet, and CenterNet were This paper publishes a public ship detection dataset, namely ShipRSImageNet, which contributes an accurately labeled dataset in SeaShips Image-based ship detection and classification for unmanned surface vehicle using real-time object detection neural networks LS-SSDD-v1. A unique and rich ship dataset (High Resolution Ships, HRShips), which is formed by the Google Earth Pro software, is used in this study. The dataset contains 3,435 images from various sensors, satellite platforms, location The Ships Image Dataset is meticulously curated to aid in the Thus, a large-scale, high-quality annotated dataset named DAShip is established, containing 55 875 ship passage samples. Many detectors, including computer vision and geoscience Therefore, SAR-based ship detection becomes essential for naval surveillance in marine traffic management, oil spill detection, illegal fishing, and maritime piracy. The dataset currently consists of 31 455 A collection of ship images with train and test data for Ship Detection MS2ship is a ship image dataset for maritime UAV-based object detection tasks. Our dataset consists of 3,500 images, This research introduces a scalable ship detection dataset—VHRShips—and proposes a deep learning-based HieD Ship detection plays a pivotal role in numerous military and civil applications, yet detecting ships in complex maritime and aerial environments remains a challenging task. 0 (Large-Scale SAR Ship Detection Dataset) It consists of 15 large-scale SAR images, obtained from Sentinel-1 satellite, with size of Abstract—In this paper, we introduce a new large-scale dataset of ships, called SeaShips, which is designed for training and evaluating ship object detection algorithms. Each image is paired with detailed In this study, a refined ship dataset, containing a total of 13,735 instances and representing different ship types, was generated using state-of-the-art datasets for the ship Abstract This paper introduces a maritime ship navigation behavior dataset, referred to as MID-Ship, which is annotated using Oriented Bounding Boxes (OBB) to address This dataset has 190,000, 768 x 768 pixel images with complex backgrounds of clouds, shore lines, waves and ship-wakes. Satellite imagery provides data . The original data source is In the field of target detection, a prominent area is represented by ship detection in SAR imagery based on deep learning, particularly for fine-grained ship detection, with dataset The Aerial Ship Detection Dataset is a comprehensive collection of high-resolution aerial images featuring ships of various sizes, types, and orientations. It consists of 39,729 ship chips This research introduces a unique and rich ship dataset named Very High-Resolution Ships (VHRShips) from Google Earth images, GitHub is where people build software. If you feel this dataset is useful, We introduce a new large-scale dataset of ships, called SeaShips, which is designed for training and evaluating ship object detection algorithms. Possible applications of the dataset could be in the logistics and shipping This article describes a comprehensive Synthetic Aperture Radar (SAR) satellite based ships dataset for use in state of the art object detection algor Abstract In this paper, we introduce UOW-Vessel, a benchmark dataset of high-resolution optical satellite images for ves-sel detection and segmentation. Our dataset consists of 3,500 images, Ship detection in optical remote sensing images has potential applications in national maritime security, fishing, and defense. In this paper, we introduce UOW-Vessel, a benchmark dataset of high-resolution optical satellite images for ves-sel detection and segmentation. ShipRSImageNet is a large-scale fine-grainted dataset for ship detection in high-resolution optical remote sensing images.