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Fig 1.

YOLOv7-tiny network structure.

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Fig 2.

FB-YOLOv7 network structure.

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Fig 3.

E-BRA structure.

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Fig 4.

Transformer, BRA, E-BRA feature extraction area.

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Table 1.

The parameters of the improved model are compared in task performance.

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Table 1 Expand

Fig 5.

AFPN structure.

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Fig 6.

(a) Box loss comparison of loss function. (b) Cls loss comparison of loss function.

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Table 2.

The overall and classification accuracy of YOLOv7-tiny and FB-YOLOv7 on two datasets.

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Table 2 Expand

Table 3.

Ablation experimental data.

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Table 3 Expand

Fig 7.

(a) Comparison of mainstream models in Helmet detection (b) Comparison of mainstream models in Daylight-v1.

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Table 4.

Experimental data from the mainstream model on each of the two datasets.

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Table 4 Expand

Fig 8.

Visualization of detection results for different models.

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