Shipimagenet
ShipRSImageNet is a large-scale fine-grainted dataset for ship detection in high-resolution optical remote sensing images. The dataset contains 3,435 images from various sensors, satellite platforms, locations, and seasons. Each image is around 930×930 pixels and contains ships with different scales, … See more The ShipRSImageNet dataset collects images from a variety of sensor platforms and datasets, in particular: 1. Images of the xView dataset are collected from WorldView-3 satellites with 0.3m ground resolution. Images in … See more The ship classification tree of proposed ShipRSImageNet is shown in the following figure. Level 0 distinguish whether the object is a ship, namely Class. Level 1 further classifies the ship object category, named as Category. … See more We keep all the experiment settings and hyper-parameters the same as depicted in MMDetection(v2.11.0) config files except for the number of categories and parameters. MMDe- … See more Web6 Likes, 0 Comments - apparel gallery (@apparel_gallery) on Instagram: "퐑퐄퐀퐃퐘 퐓퐎 퐖퐄퐀퐑 퐂퐇퐀퐋퐈퐘퐀 퐂퐇퐎퐋퐈...."
Shipimagenet
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WebOct 10, 2024 · Ship classification in optical images has been challenged by the complexity of various ships, different imaging conditions, and limited labelled images. Traditional …
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