首页|Studies from Jiangsu University Update Current Data on Robotics (Underwater Robo t Target Detection Algorithm Based On Yolov8)
Studies from Jiangsu University Update Current Data on Robotics (Underwater Robo t Target Detection Algorithm Based On Yolov8)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Robotics. Acc ording to news reporting originating in Zhenjiang, People’s Republic of China, b y NewsRx journalists, research stated, “Although the ocean is rich in energy and covers a vast portion of the planet, the present results of underwater target i dentification are not sufficient because of the complexity of the underwater env ironment. An enhanced technique based on YOLOv8 is proposed to solve the problem s of low identification accuracy and low picture quality in the target detection of current underwater robots.” Funders for this research include Jiangsu Province Industrial Prospect and Key C ore Technology Project, Postgraduate Research and Practice Innovation Program of Jiangsu Province.
ZhenjiangPeople’s Republic of ChinaA siaAlgorithmsEmerging TechnologiesMachine LearningNano-robotRobotRob oticsJiangsu University
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