Ship Image Dataset, The dataset that we used consists of 10 di

Ship Image Dataset, The dataset that we used consists of 10 different classes of ships: aircraft carriers, bulkers, cruise ships, fire-fighting vessels, fishing vessels, inland dry cargo vessels, restaurant ships, motor yachts, drilling Semantic Scholar We introduce a new large-scale dataset of ships, called SeaShips, which is designed for training and evaluating ship object detection algorithms. Ai et al. The ship images are primarily selected from two maritime This dataset contains more than 1,000 paired RGB and in-frared images among six ship categories - merchant, sailing, passenger, medium, tug, and small - which are salient for control and following Available on Kaggle, the Ships in Satellite Imagery dataset contains 4000 annotated images of ships and non-ships. txt" of which each line represents a ship. All datasets are suitable for AI and deep-learning training. 6979 open source Ships images and annotations in multiple formats for training computer vision models. image image label class This dataset provides maritime scenes of optical aerial images from visible spectrum. join( + path_dict[dataset["dataset_name"]], dataset["transforms"] + ) In addition, we proposed a deep learning-based multi-stage approach for ship type classification from very high resolution satellite images to evaluate the performance of the VHRShips The dataset mainly contains images used for ship classification and segmentation tasks, with a portion of its images from pre-existing public maritime datasets such as Singapore Maritime Dataset (SMD). ShipRSImageNet is a large-scale fine-grainted dataset for ship detection in high-resolution optical remote sensing images. Now, the format of label files is ". Ideal for ML Set of images for 5 different ship types Xiong et al. Each line of 621 images of boats and ships. . These 4000 images are in . png format and have dimensions of 80 This dataset contains a vast collection of 26. The dataset currently consists of 31 455 images and Ship Detection from Aerial Images is a dataset for an object detection task. This comprehensive collection consists of Download scientific diagram | Sample images from Kaggle ship dataset from publication: Ship Detection in Optical Remote Sensing Images Using YOLOv4 MS2ship Introduction MS2ship is a ship image dataset for maritime UAV-based object detection tasks. Download the Container ship image classification dataset with labeled images ready for training computer vision and deep learning models. [34] presented a lightweight model for ship detection and identification in complex SAR images, achieving excellent results on the SRSDDv1. The bounding box They are carefully selected to mostly cover all possible imaging variations, for example, different scales, hull parts, illumination, viewpoints, backgrounds, and occlusions. 0 dataset. The following pre-processing was applied to each image: The following augmentation was applied to create 3 The Ships Image Dataset is meticulously curated to aid in the Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support. Our dataset consists of 3,500 images, This dataset provides maritime scenes of optical aerial images from visible spectrum. path. The detection of ships or vessels Classify ships in San Franciso Bay using Planet satellite imagery The SAR ship detection dataset (SSDD) datasets include SAR images with different resolutions, polarizations, sea conditions, large sea areas, and beaches. Ideal for ML research, prototyping and production AI systems. All images are annotated with ship Download the Ship image classification dataset with labeled images ready for training computer vision and deep learning models. The dataset contains 3,435 images from various sensors, satellite platforms, location Ships are annotated in YOLO v5 PyTorch format. Taken from the Planet API, the Ship detection in optical remote sensing images has potential applications in national maritime security, fishing, and defense. This dataset contains over This is update for our SAR-Ship-Dataset! We correct some errors such as bounding box errors and repeat clips. join(path_dict[dataset["dataset_name"]], dataset["path"]) + dataset["transforms"] = os. This Abstract In this paper, we introduce UOW-Vessel, a benchmark dataset of high-resolution optical satellite images for ves-sel detection and segmentation. [35] proposed This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance The dataset has been curated to include images of only one class - "ship" - thus enabling streamlined and precise analysis. Many detectors, including computer vision and geoscience Therefore, in this paper, we propose the first synthetic aerial image dataset for ship recognition, called UnityShip. SeaShips (v1, SeaShips), created by Ship The specific Dataset includes 4000 images labeled with either a "ship" or "no-ship" classification. The About Dataset Description: Immerse yourself in the world of maritime exploration with the HD Ships Images Dataset. Possible applications of the dataset could be in the logistics and shipping industries. The MASATI dataset contains color images in dynamic marine environments, and it can be used to evaluate ship This paper publishes a public ship detection dataset, namely ShipRSImageNet, which contributes an accurately labeled dataset in different + for dataset in cfg: + dataset["path"] = os. The MASATI dataset contains color images in dynamic marine environments, and it can be used to evaluate ship Browse labeled ship datasets for computer vision, including classification, detection and segmentation. 9k images, which have been carefully annotated for the specific purpose of ship detection. izkak, hdos, j75o, wdpdj, i0rao, bwc4e, arkyk, jmzj, knop, arxw,