Ship detection github
WebPaper ref to add · Issue #3 · alina2204/contrastive_SSL_ship_detection · GitHub alina2204 / contrastive_SSL_ship_detection Public Notifications Fork Star Pull requests Projects Insights New issue Paper ref to add #3 Open robmarkcole opened this issue 11 hours ago · 1 comment 11 hours ago Collaborator WebFeb 4, 2024 · Ship detection – Part 1: ship detection, i.e. binary prediction of whether there is at least 1 ship, or not. Part 1 is a simple solution showing great results in a few lines of …
Ship detection github
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WebApr 20, 2024 · Ship detection is one of the most important research contents of ship intelligent navigation and monitoring. As a supplement to classical navigational equipment such as radar and the Automatic Identification System (AIS), target detection based on computer vision and deep learning has become a new important method. WebThis dataset provides maritime scenes of optical aerial images from visible spectrum. The MASATI dataset contains color images in dynamic marine environments, and it can be used to evaluate ship detection methods. Each image may contain one or multiple targets in different weather and illumination conditions.
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WebSODA is a large-scale benckmark for Small Object Detection, including SODA-D and SODA-A, which concentrate on Driving and Aerial scenarios respectively. Update [20240726] Our Homepage for SODA benchmark opens! [20240727] … WebNov 29, 2024 · Ship Detection on Sentinel-2 Images with Mask R-CNN Model A time analysis of maritime traffic using PyTorch and open data Photo by Steve Doig on Unsplash As part of a larger ML project, we decided to explore the possibility to assess maritime traffic using publicly available satellite images.
WebSAR 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 deep learning (DL). According to our investigation, up to 46.59% of the total 161 public reports confidently select SSDD to study DL-based SAR ship detection.
WebSep 15, 2024 · 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... shootproof referralWebJan 7, 2024 · Mask R-CNN is an extension over Faster R-CNN. Faster R-CNN predicts bounding boxes and Mask R-CNN essentially adds one more branch for predicting an … shootproof radixWebHash-Based Deep Learning Approach for Remote Sensing Satellite Imagery Detection - Hash-Based-Deep-Learning-Approach-for-Remote-Sensing-Satellite-Imagery-Detection/code at main · ChalasaniAnusha/Ha... shootproof remove watermarkWebView on GitHub. GitHub. Note. Go to the ... Test the Packed-Ensemble on the test data and evaluate its performance w.r.t. uncertainty quantification and OOD detection. 1. ... Predicted: cat ship ship ship The results seem pretty good. Total running time of the script: ( 2 minutes 23.496 seconds) shootproof promoWebApr 14, 2024 · The application of ship detection for assistant intelligent ship navigation has stringent requirements for the model’s detection speed and accuracy. In response to this problem, this study uses an improved YOLO-V4 detection model (ShipYOLO) to detect ships. Compared to YOLO-V4, the model has three main improvements. shootproof sampleWebJul 12, 2024 · Ship detection is critical for a range of applications, including managing port activity, monitoring cargo activity, maritime rescue, national defense and monitoring … shootproof sarahWebFeb 16, 2024 · OpenSARShipFilter is a tool used to filter the OpenSARShip dataset to acquire specified ships conveniently for your researches. So you can get ships with specified ship sizes, image sizes, incidence angles, headings, and length error ratios. OpenSARShipFilter is developed and maintained by EasySAR interest group. shootproof search