Data · dataset · 2025
Hznu Facade Dataset
Listed in Teesside University Research Data Repository
We used the Canon M50 Mark II camera, along with the DJI Mavic Air and DJI Mavic 3 drones, to capture high-resolution facade images across various urban regions of Hangzhou, China.
Description
The dataset contains a total of 624 high-resolution facade images. The average resolution of all images is 4056 × 3856.
The "original" folder contains the original dataset, which includes facade images, annotated JSON files, and the homography matrices obtained through the perspective correction algorithm. The "perspective correction" folder contains the dataset after perspective correction, including the corrected facade images and the corresponding annotated JSON files, which represent sematic segmentation.Facade images are named in increasing order, with those starting with "c" representing camera-captured facade images, and those starting with "d" representing drone-captured facade images.
Links
Where it is published
- DOI doi.org/10.17632/k387xkyc5f.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
- Architecture · Computer Science & AI · Computer vision · Earth & Environmental Science
- Inferred from text
- Image 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/k387xkyc5f.1 | 8 h 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:field:460304 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Computer Vision'] |
| concepts[field].anzsrc:group:3301 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Architecture'] |
| 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[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| 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 |