Impact of image preprocessing and crack type distribution on YOLOv8-based road crack detection
Road crack detection is crucial for ensuring pavement safety and optimizing maintenance strategies. This study investigated the impact of image preprocessing methods and dataset balance on the performance of YOLOv8s-based crack detection. Four datasets (CFD, Crack500, CrackTree200, and CrackVariety)...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Multidisciplinary Digital Publishing Institute
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/121853/1/121853.pdf http://psasir.upm.edu.my/id/eprint/121853/ https://www.mdpi.com/1424-8220/25/7/2180 |
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