Data · dataset · 2024
Crack Roboflow DTI UNB
Listed in UNB Libraries Dataverse Research Data Repository
The dataset is designed for instance segmentation tasks related to detecting cracks in concrete structure inspection.
Description
It is a valuable resource for training CNNs to identify and segment cracks in various surfaces accurately. It was assembled from three different sources: 1.
The platform Roboflow-Universe developed by Dwyer et al (2022): We used the Roboflow-Universe-Crack (RUC) dataset (Nadar, 2022) with a total of 1551 samples. 2. The archives of the Department of Transportation and Infrastructure (DTI) from New Brunswick: We picked 540 original crack images, each of which underwent annotation using the CVAT annotation tool (Sekachev et al., 2020), ensuring precision and uniformity of labelling. 3.
Read the rest (1 more)
The Crack500 dataset (Yang et al., 2020; Zhang et al., 2016) We re-annotated and used 56 samples.
Links
Where it is published
- Dataverse dataset page dataverse.lib.unb.ca/dataset.xhtml?persistentId=doi%3A10.25545%2FBHMCOU ↗
landing page · from dataverse lib unb ca
- DOI doi.org/10.25545/bhmcou ↗
DOI / persistent id · from dataverse lib unb ca
Catalogue records · 1
- Dataverse API dataverse.lib.unb.ca/api/datasets/:persistentId/?persistentId=doi%3A10.25545%2FBHMC… ↗
metadata API · from dataverse lib unb ca
Topics
- Stated by source
- Engineering
- From keywords
- Artificial intelligence · Computer Science & AI · Engineering
- Inferred from text
- Image 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| UNB Libraries Dataverse Research Data Repository | doi:10.25545/BHMCOU | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4602 | mapping · dataverse lib unb ca | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| concepts[field].dataverse_subject:engineering | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | /subjects |
| concepts[modality].local:modality:image | enrichment · dataverse lib unb ca | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | |
| description | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | /description |
| publication_date | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | |
| title | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | /name |
| updated_date | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | |
| version_label | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 |