crack
Datasets
All datasets matching “crack”tunnel-crack-segmentation-dataset
Complex Tunnel Crack Dataset (CTCD)
292 tunnel lining images (256 × 256) with pixel-level crack masks, collected from
52 highway tunnels in Yunnan and Zhejiang, China, using a high-speed tunnel
inspection vehicle. Crack pixels were manually
annotated in Photoshop with a 1–2 px brush sized by crack width.
This dataset was introduced in the CraSAM paper (Structural Control and Health
Monitoring, 2025), where it is used to evaluate cross-scenario generalization of… See the full description on the dataset page: https://huggingface.co/datasets/shiweiluo99/tunnel-crack-segmentation-dataset.3DPE-Crack22
3DPE-Crack22: Crack Detection in Earthen 3D-Printing
Overview
The crack-detection-earthen-3dp dataset has been curated by theInstitute of Construction Management, Digital Engineering & Robotics in Construction (ICoM)at RWTH Aachen University.
It focuses on automated crack detection in earthen 3D-printed structures, aiming to support research in:
Defect identification in additive manufacturing for construction.
Quality control and monitoring of earthen 3D-printing… See the full description on the dataset page: https://huggingface.co/datasets/ICoM-RWTH/3DPE-Crack22.crack_segmentationcrackseg9k
Crackseg9k: A Collection of Crack Segmentation Datasets
dataset for CrageSeg9k 4.0
road-crack-datasetcrackedpdfs
CrackedPDFs
CrackedPDFs is a paired benchmark for detecting prompt injections embedded in PDF structure. The paper release contains 29,322 PDFs derived from 4,983 base documents, organized as 9,774 matched triplets:
one benign original;
one benign structural confounder; and
one injected PDF.
The benign source documents were produced with PDFAutoGen. The paired design measures whether a defense detects malicious intent rather than merely reacting to unusual PDF structure.… See the full description on the dataset page: https://huggingface.co/datasets/volkthienpreecha/crackedpdfs.