Data · dataset · 2023
UAVPal
Listed in DANS Data Station Physical and Technical Sciences
A drone survey was conducted in February 2023 at the city center of Bhopal City, Madhya Pradesh, India.
Description
The main objective of this survey is to better automate urban scene understanding in the context of the Indian subcontinent. The dataset contains 529 image tiles of size 2048x2048.
The spatial resolution of the imagery is 2 cm. Along with the RGB imagery, corresponding digital surface models generated from dense matching and manually annotated labels with five classes are also available. Date Submitted: 2023-08-29
Links
Where it is published
- Dataverse dataset page phys-techsciences.datastations.nl/dataset.xhtml?persistentId=doi%3A10.17026%2FDANS-Z55-6GT4 ↗
landing page · from phys techsciences datastations nl
- DOI doi.org/10.17026/dans-z55-6gt4 ↗
DOI / persistent id · from phys techsciences datastations nl
Catalogue records · 1
- Dataverse API phys-techsciences.datastations.nl/api/datasets/:persistentId/?persistentId=doi%3A10.17026%2FDANS… ↗
metadata API · from phys techsciences datastations nl
Topics
- Stated by source
- Computer and Information Science · Earth and Environmental Sciences
- From keywords
- Computer Science & AI · Computer vision · Deep learning · Earth & Environmental Science · Satellite remote sensing
- Inferred from text
- Image 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DANS Data Station Physical and Technical Sciences | doi:10.17026/DANS-Z55-6GT4 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:computer-and-information-science | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[modality].local:modality:image | enrichment · phys techsciences datastations nl | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:remote-sensing | mapping · phys techsciences datastations nl | vocabulary-mapper@1.0.0 | keywords['Earth Observation'] |
| created_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| description | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /description |
| publication_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| title | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /name |
| updated_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| version_label | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 |