Data · dataset · 2024
Roof Types Dataset
Listed in UNB Libraries Dataverse Research Data Repository
The roof-type dataset includes 2224 samples of high-resolution RGB optical images of roofs alongside their elevation (DSM) data.
Description
This comprehensive dataset encompasses nine common roof types: Flat, Gable, Hip, Cross-Hip, Gable-Flat, Gambrel, Cross-Gable, Dutch-Gable, and Pyramid-Hip. The dataset has been structured into three parts, namely training, testing, and validation sets.
The training set was created using buildings located in Fredericton, New Brunswick, Canada, while the test and validation sets were generated based on buildings in Moncton, New Brunswick, Canada. To ensure the highest level of accuracy for CNN-based classification, the training set was augmented to make 1000 samples for each class. This dataset contains information licensed under the Open Government Licence – New Brunswick.
Links
Where it is published
- Dataverse dataset page dataverse.lib.unb.ca/dataset.xhtml?persistentId=doi%3A10.25545%2FGPFJGQ ↗
landing page · from dataverse lib unb ca
- DOI doi.org/10.25545/gpfjgq ↗
DOI / persistent id · from dataverse lib unb ca
Catalogue records · 1
- Dataverse API dataverse.lib.unb.ca/api/datasets/:persistentId/?persistentId=doi%3A10.25545%2FGPFJ… ↗
metadata API · from dataverse lib unb ca
Topics
- Stated by source
- Engineering
- From keywords
- Computer Science & AI · Deep learning · 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/GPFJGQ | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:461103 | mapping · dataverse lib unb ca | vocabulary-mapper@1.0.0 | keywords['Deep learning'] |
| 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 |