Marine ship detection and classification based on YOLOv5 model
نویسندگان
چکیده
Abstract An improved deep learning neural model YOLOv5-DN based on YOLOv5 is proposed for marine ship detection and classification in the area of harbours heavy traffic waterways. The CSP-DarkNet module replaced by CSP-DenseNet to promote accuracy target model. Sample ships data set are divided into six classes: ore carriers, general cargo ships, bulk container passenger fishing meet needs areas ports grouped a training set, testing validating proportion 6:2:2. Experiments show that has better average accuracy, from 62.2% 71.6%.
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ژورنال
عنوان ژورنال: Journal of physics
سال: 2022
ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']
DOI: https://doi.org/10.1088/1742-6596/2181/1/012025