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This is a Experimental Study study.

September 19, 2025

Coal gangue target detection algorithm based on MBP-YOLOv8

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The MBP-YOLOv8 model enhances coal gangue detection accuracy with improved speed and reduced parameters.

The proposed MBP-YOLOv8 achieves a mean Average Precision of 90.3% in coal gangue detection.
It reduces the model parameters by 21.5%, enhancing efficiency without sacrificing detection quality.
Incorporating MobileNet V3 as a backbone accelerates processing, achieving 138 frames per second.
The use of a bidirectional routing attention mechanism improves detail capture for better accuracy.

Guo et al. (2025) studied this question.

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