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Updated: Jan 8, 2026

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
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增强的YOLOv8可在水面上准确有效地检测漂浮物体

YanPeng Cao1, HaoWen Luo2, MengDi Wang3

  • 1School of Science, Tianjin University of Commerce, GuangRong Road 409, 300134, Tianjin, People's Republic of China. cyp1983242@163.com.

Scientific reports
|December 16, 2025
PubMed
概括

我们开发了SEDS-YOLOv8,这是一个先进的物体检测模型,用于识别水上漂浮的碎片. 该系统在具有挑战性的水环境条件下提高了准确性,改善了环境监测和污染控制工作.

关键词:
计算机视觉 计算机视觉 计算机视觉分布的转移改变了卷积的转移.轻量级的模型轻量级的模型挤压和激发网络的网络.水面漂浮物检测水面漂浮物检测这就是YOLOv8的意义.

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