Cracks in the Foundation: A Civil Infrastructure Dataset to Challenge Vision Foundation Models

ArXi:2605.18413v1 Announce Type: new Automated structural health monitoring is essential to prevent catastrophic infrastructure failures. Precise, pixel-level defect segmentation is needed to accurately assess structural integrity, but progress in defect segmentation for civil infrastructures has been held back by an extreme scarcity of data, which requires costly expert annotation. The need for data is accentuated by algorithmic hurdles intrinsic to the problem, including center-bias and the need to rely on shape when inspecting nearly textureless building materials.