Data · dataset · 2023
Gathered and generated database for crack detection on concrete and brick walls
Listed in Teesside University Research Data Repository
Database was used for Master's thesis work "Identification of Asset Integrity Issues using Image Based Data Analysis and Deep Learning Methods" by Andrius Ambrutis and supervised by Mayur Pal.
Description
Data contains pipeline model for cracks imitations, two classes of images (cracks and not cracks) as well as code and Matlbab .mat file with trained network on 40% of entire data. Part of data in this dataset was generated using data gathered from: 1. ÖZGENEL, Ç.F. and GÖNENÇ SORGUÇ, A. Performance Comparison of Pretrained Convolutional Neural Networks on Crack Detection in Buildings.
Surface Crack Detection. ISARC 2018, Berlin. Online. 2018.
Read the rest (3 more)
[viewed 2023-04-30]. Available from: <kaggle.com/datasets/arunrk7/surface-crack-detection>. 2. Pexels.
Brick Wall Cracks Photos, Download The BEST Free Brick Wall Cracks Stock Photos & HD Images. Online. [viewed 2023-04-30].
Available from: <pexels.com/search/brick%20wall%20cracks/>. In case of citation these sources should be mentioned as well (1 and 2) also usesage of these images should note violate lisences of earlier memtioned sources. In addition to dataset, we include 3d pipeline model created in Blender which can be used to generate data for almost any environment.
Links
Where it is published
- DOI doi.org/10.17632/vr37ss8xm6.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Machine learning · Social Science
- Inferred from text
- Image 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/vr37ss8xm6.1 | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4611 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |