Reinforced concrete structure segmentation dataset 2119

Automated multi-type damage detection framework in reinforced concrete structures via data augmentation and deep segmentation networks. Journal of Civil Structural Health Monitoring, 15(8), 3861–3884. A total of 2,119 reinforced concrete (RC) structure damage images were selected from public datasets and manually annotated using distinct color labels: gray for background, red for concrete cracks, green for concrete spalling, magenta for rebar exposure, blue for rebar corrosion, and yellow for concrete crushing.

As illustrated in Fig. 1f, multiple damage types may coexist within a single image; consequently, the total number of annotated damage instances far exceeds the number of images. After annotation, the number of instances in each damage category is 1,883 for concrete cracks, 282 for concrete spalling, 89 for rebar exposure, 832 for rebar corrosion, and 88 for concrete crushing.