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This is a In Vitro Study study.

August 17, 2025Scientific ReportsOpen Access

Research on UAV aerial imagery detection algorithm for Mining-Induced surface cracks based on improved YOLOv10

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Analysis reveals enhanced detection of small surface cracks in mining areas, indicating stronger geological disaster management.

The model improves detection accuracy, achieving a 12% increase in mean Average Precision (mAP@0.5) for mining-induced cracks.
Utilizing a new detection head and feature enhancement pyramid, the model is optimized for small object recognition.
Analysis shows a 17% reduction in parameters, indicating a lighter computational load while maintaining accuracy.
The approach supports geological disaster early warning, essential for safe mining operations and management.

An et al. (2025) studied this question.

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