Mosaic dataset augmentation. حسب Kangning Li (6069629)

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Different algorithms for bearing defect detection performance. حسب Kangning Li (6069629)

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Three types of loss curves. حسب Kangning Li (6069629)

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Ablation study on the improved YOLOv5 algorithm. حسب Kangning Li (6069629)

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The structure of the Res2Block module. حسب Kangning Li (6069629)

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The structure of the BiFPN. حسب Kangning Li (6069629)

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Randomly adding Gaussian white noise. حسب Kangning Li (6069629)

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Algorithm detection performance. حسب Kangning Li (6069629)

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Model structure of the Small_obj algorithm. حسب Kangning Li (6069629)

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Model structural of the improved YOLOv5 algorithm. حسب Kangning Li (6069629)

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Results of the bearing defect detection. حسب Kangning Li (6069629)

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Bearing defect dataset. حسب Kangning Li (6069629)

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Results of the comparative experiment. حسب Jia Li (160557)

"…To address this problem, this paper proposes a YOLOv8-based insulator defect detection algorithm, YOLOv8-SSF. Firstly, SimAM (parameter-free attention mechanism) is included in the algorithm’s backbone network, which improves the ability to focus on critical features while maintaining a lightweight model. …"

Comparison of attention mechanisms. حسب Jia Li (160557)

"…To address this problem, this paper proposes a YOLOv8-based insulator defect detection algorithm, YOLOv8-SSF. Firstly, SimAM (parameter-free attention mechanism) is included in the algorithm’s backbone network, which improves the ability to focus on critical features while maintaining a lightweight model. …"

Results of ablation experiments. حسب Jia Li (160557)

"…To address this problem, this paper proposes a YOLOv8-based insulator defect detection algorithm, YOLOv8-SSF. Firstly, SimAM (parameter-free attention mechanism) is included in the algorithm’s backbone network, which improves the ability to focus on critical features while maintaining a lightweight model. …"

Comparison of attention mechanisms. حسب Jia Li (160557)

"…To address this problem, this paper proposes a YOLOv8-based insulator defect detection algorithm, YOLOv8-SSF. Firstly, SimAM (parameter-free attention mechanism) is included in the algorithm’s backbone network, which improves the ability to focus on critical features while maintaining a lightweight model. …"

Experimental environment configuration. حسب Jia Li (160557)

"…To address this problem, this paper proposes a YOLOv8-based insulator defect detection algorithm, YOLOv8-SSF. Firstly, SimAM (parameter-free attention mechanism) is included in the algorithm’s backbone network, which improves the ability to focus on critical features while maintaining a lightweight model. …"

Model comparison experiments. حسب Jia Li (160557)

"…To address this problem, this paper proposes a YOLOv8-based insulator defect detection algorithm, YOLOv8-SSF. Firstly, SimAM (parameter-free attention mechanism) is included in the algorithm’s backbone network, which improves the ability to focus on critical features while maintaining a lightweight model. …"

Comparison results of the loss functions. حسب Jia Li (160557)

"…To address this problem, this paper proposes a YOLOv8-based insulator defect detection algorithm, YOLOv8-SSF. Firstly, SimAM (parameter-free attention mechanism) is included in the algorithm’s backbone network, which improves the ability to focus on critical features while maintaining a lightweight model. …"

Insulator dataset data enhancement. حسب Jia Li (160557)

"…To address this problem, this paper proposes a YOLOv8-based insulator defect detection algorithm, YOLOv8-SSF. Firstly, SimAM (parameter-free attention mechanism) is included in the algorithm’s backbone network, which improves the ability to focus on critical features while maintaining a lightweight model. …"