首页|Tianjin University of Technology Reports Findings in Machine Learning (Applicati on of Improved Machine Learning in Large-scale Investigation of Plastic Waste Di stribution in Tourism Intensive Artificial Coastlines)
Tianjin University of Technology Reports Findings in Machine Learning (Applicati on of Improved Machine Learning in Large-scale Investigation of Plastic Waste Di stribution in Tourism Intensive Artificial Coastlines)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting out of Tianjin, People's Repu blic of China, by NewsRx editors, research stated, "Oceans are ultimately a sink of plastic waste. Complex artificial coastlines pose remarkable challenges for coastal plastic waste monitoring." Our news journalists obtained a quote from the research from the Tianjin Univers ity of Technology, "With the development of machine learning methods, high detec tion accuracy can be achieved; however, many false positives have been noted in various network models used for plastic waste investigation. In this study, exte nsive surveys of artificial coastlines were conducted using drones along the Don gjiang Port artificial coastline in the Binhai District, Tianjin, China. The dee p learning model YOLOv8 was enhanced by integrating the InceptionNeXt and LSK mo dules into the network to improve its detection accuracy for plastic waste and r educe instances of tourists being misidentified as plastic. In total, 553 high-r esolution coastline images with 3488 items of detected plastic waste were compar ed using the original and improved YOLOv8 models. The improved YOLOv8s-IL model achieved a detection rate of 64.9%, a notable increase of 11.5% compared with that of the original model. The number of false positives in the i mproved YOLOv8s-IL model was reduced to 32.3%, the multi-class F-sc ore reached 76.5%, and the average detection time per image was onl y 2.7 s."
TianjinPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningTourismTravel
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