Road Damages Detection and Classification with YOLOv7. (arXiv:2211.00091v1 [cs.CV])

Maintaining the roadway infrastructure is one of the essential factors in
enabling a safe, economic, and sustainable transportation system. Manual
roadway damage data collection is laborious and unsafe for humans to perform.
This area is poised to benefit from the rapid advance and diffusion of
artificial intelligence technologies. Specifically, deep learning advancements
enable the detection of road damages automatically from the collected road
images. This work proposes to collect and label road damage data using Google
Street View and use …

arxiv classification detection yolov7