Back to datasets
Dataset assetOpen Source CommunitySemantic SegmentationCrack Detection
rock-crack and concrete-crack dataset, CT-slice-crack dataset
Rock‑fracture and CT‑core fracture semantic segmentation dataset, used for identifying cracks in roads, buildings, and other civil structures.
Source
github
Created
Jan 2, 2020
Updated
Apr 7, 2024
Signals
504 views
Availability
Linked source ready
Overview
Dataset description and usage context
Dataset Overview
This dataset supports deep‑learning research, especially computer‑vision semantic‑segmentation techniques, for detecting cracks in roads, buildings, and other civil infrastructure. It includes semantic‑segmentation annotations for rock fractures and CT‑rock‑slice fractures.
Dataset Download
Rock Fracture & Concrete Fracture Dataset
- Download link: rock‑crack and concrete‑crack dataset
- Download command:
wget http://47.94.192.51/static/files/images.tar.gz
CT Slice Crack Dataset
- Download link: CT‑slice‑crack dataset
- Download command:
wget http://47.94.192.51/static/files/CT_images.tar.gz
Sample Images
Rock Fracture
- Image:
- Annotation:
Concrete Fracture
- Image:
- Annotation:
CT Slice Fracture
- Image:
- Annotation:
Dataset Toolkit
amplifyData-16.py(data augmentation)amplifyData.py(data augmentation)calc-mean.py(data preprocessing)
Need downstream help?
Pair the dataset with AI analysis and content workflows.
Once the source passes your review, move straight into summarization, transformation, report drafting, or presentation generation with the JuheAI toolchain.