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Updated: May 14, 2025

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation
00:05

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Published on: September 29, 2019

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图像预处理和裂纹类型分布对基于YOLOv8的道路裂纹检测的影响

Luxin Fan1, Saihong Tang1, Mohd Khairol Anuar B Mohd Ariffin1

  • 1Faculty of Engineering, Universiti Putra Malaysia UPM, Serdang 43400, Selangor, Malaysia.

Sensors (Basel, Switzerland)
|April 12, 2025
PubMed
概括

数据集平衡显著影响道路裂检测性能,而不是图像预处理. 平衡的数据集提高了YOLOv8的准确性,而不平衡的数据集导致了对路面安全的偏见预测.

关键词:
这就是YOLOv8的意义.计算机视觉 计算机视觉裂检测 裂检测 裂检测 裂检测数据集平衡数据集平衡深度学习是一种深度学习.图像预处理 图像预处理路面检查路面检查路面检查

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