Abstract
Proposed article deals with automated pothole detection algorithm from images containing pothole objects. The potholes negatively affect the road surface quality and can lead to traffic accidents. The detection is performed by YOLOv5 neural network model trained on custom image dataset acquired by authors. The implementation of trained computer model will lead to automated pothole identification and potentially to the road maintenance improvement.
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