Lightweight YOLO-Driven Architecture for On-Line Cup Rupture Detection in Strip Steel Welds
收藏NIAID Data Ecosystem2026-05-02 收录
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https://data.mendeley.com/datasets/8cdkzy638x
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资源简介：
To achieve automated detection of cup rupture results in strip steel welds while fulfilling requirements for high efficiency, real-time detection, standardization, and consistency of results, this study proposes a lightweight object detection algorithm based on an improved YOLOv10 framework.
创建时间：
2025-07-25
