Data · dataset · 2025
Drone Photographs of Pollinators in the Uppsala Region
Listed in Researchdata.se
This dataset contains drone images of pollinators and plants collected in the Uppsala region of Sweden.
Description
The purpose of the data collection was to document pollinator activity in natural field environments, with the long-term goal of supporting research in automated species identification. The images include a variety of pollinator species, such as bees and butterflies, as well as diverse plant species commonly found in the area.
The dataset can be used to train and evaluate models for classification of both pollinators and plant species, and it is particularly useful for research related to biodiversity monitoring, ecological field studies, and automated detection systems. Because the images are obtained from natural field sites rather than controlled laboratory settings, they offer realistic environmental conditions and therefore provide valuable challenges for algorithm development.
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The images were collected specifically for this project in order to support research on drone-based pollinator monitoring. They have not been used in previous studies, and no publications have been produced from this dataset at the time of submission. The dataset is intended to be openly available for future research and methodological development.
The images were taken with a Drone, specifically DJI mini 4 Pro by Liv Olofsson, Research Assistant at SLU.
Links
Where it is published
- DOI doi.org/10.5878/79zh-7b36 ↗
DOI / persistent id · from researchdata se
Catalogue records · 1
- OAI-PMH record api.researchdata.se/oai-pmh?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3A… ↗
metadata API · from researchdata se
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Life Sciences
- Inferred from text
- Image 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Researchdata.se | oai:researchdata.se:2025-300/1 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata se | connector:researchdata_se@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · researchdata se | connector:researchdata_se@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata se | connector:researchdata_se@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata se | connector:researchdata_se@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata se | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata se | connector:researchdata_se@1.0.0 | /metadata/dc/description |
| license | source · researchdata se | connector:researchdata_se@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata se | connector:researchdata_se@1.0.0 | |
| spatial | source · researchdata se | connector:researchdata_se@1.0.0 | |
| title | source · researchdata se | connector:researchdata_se@1.0.0 | /metadata/dc/title |