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This dataset is the largest, most diverse, and most consistent crack‑segmentation dataset built to date. It contains 9 255 images aggregated from various open‑source small datasets and pre‑processed to a resolution of 400 × 400 pixels. The dataset comprises ten sub‑datasets, such as Crack500, Deepcrack, etc.

Rock‑fracture and CT‑core fracture semantic segmentation dataset, used for identifying cracks in roads, buildings, and other civil structures.

This dataset is intended for training models to detect cracks in railway tracks. It includes images of tracks with and without cracks, which have been properly annotated and pre‑processed to ensure quality.