Tunnel lining crack detection model based on improved YOLOv5
Description
YOLO series datasets for crack detection
Files
Steps to reproduce
1. Public datasets were first collected: Mendeley public dataset (Özgenel, Ç.F., 2019. Concrete Crack Images for Classification. Mendeley Data, v2. https://doi.org/10.17632/5y9wdsg2zt.2.) 2. Dataset in the literature: Zhou, Q., Qu, Z., Li, Y.X., Ju, F.R., 2022. Tunnel Crack Detection With Linear Seam Based on Mixed Attention and Multiscale Feature Fusion. IEEE Transactions on Instrumentation and Measurement 71, 1–11. https://doi.org/10.1109/TIM.2022.3184351. Shi, Y., Cui, L., Qi, Z., Meng, F., Chen, Z., 2016. Automatic Road Crack Detection Using Random Structured Forests. IEEE Transactions on Intelligent Transportation Systems 17, 3434–3445. https://doi.org/10.1109/TITS.2016.2552248. 3.On-site collection of dataset