Research Data Leeds Repository

Citation

Abdellatif, Mohamed and Peel, Harriet and Cohn, Anthony G. and Fuentes, Raul (2020) Pavement Crack Extraction Using Combined Pixel-based and Block-Based approach Running on Three Standard Datasets and Comparison with State of Art Methods. University of Leeds. [Dataset] https://doi.org/10.5518/937

Dataset description

This dataset reports the results of applying a new method that combines the block based and pixel based approaches for crack detection as described in

Mohamed Abdellatif, Harriet Peel, Anthony G. Cohn and Raul Fuentes, Combining Block-based and Pixel-based Approaches to Improve Crack Detection and Localisation, Automation in Construction, 103492, 2020.

Subjects:	H000 - Engineering > H200 - Civil engineering
Divisions:	Faculty of Engineering and Physical Sciences > School of Civil Engineering
Related resources:	Location Type https://doi.org/10.1016/j.autcon.2020.103492 Publication https://eprints.whiterose.ac.uk/168305/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	25 Nov 2020 07:49
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/780
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Abdellatif, Mohamed https://orcid.org/0000-0002-7641-4723 University of Leeds https://ror.org/024mrxd33 ror Peel, Harriet https://orcid.org/0000-0002-9432-3438 University of Leeds https://ror.org/024mrxd33 ror Cohn, Anthony G. https://orcid.org/0000-0002-7652-8907 University of Leeds https://ror.org/024mrxd33 ror Fuentes, Raul https://orcid.org/0000-0001-8617-7381 Aachen University https://ror.org/02gm5zw39 ror Type of data: Dataset Research funders: ESPRC Grant numbers: EP/NO10523/1 Publication date: 2020 Resource language: English Metadata language: English Research project title: Balancing the impact of city infrastructure engineering on natural systems using robots Publisher: University of Leeds Contact email: M.Abdellatif@leeds.ac.uk Last Modified: 31 Oct 2024 15:24

Files

Documentation

readme.txt [1kB] readme.txt [1kB] readme.txt [1kB] Security: Anyone File name: readme.txt Content type: Documentation Description: Instructions for datasets Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1kB

Data

CF [36MB] CF [36MB] CF [36MB] Security: Anyone File name: CF.zip Content type: Data Description: Crack forest dataset results Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 36MB

CRACK500 [656MB] CRACK500 [656MB] CRACK500 [656MB] Security: Anyone File name: CRACK500.zip Content type: Data Description: CRACK500 dataset results Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 656MB

CrackIT [280MB] CrackIT [280MB] CrackIT [280MB] Security: Anyone File name: CrackIT.zip Content type: Data Description: CrackIT dataset results Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 280MB