Annotated birds datasets for object detection using deep learning, Skagen and Klim
https://doi.org/10.5878/x1cm-pq40
The two datasets are of image frames of birds collected in two sites in Denmark, namely Skagen and Klim. Each image frame has its corresponding text file that contains the coordinates of bounding boxes containing the objects. The datasets are used in the following publication: "A Temporal Boosted YOLO-Based Model for Birds Detection around Wind Farms". The publication should be referenced when using the dataset by other researchers.
The datasets were collected at two sites in Denmark over the course of a few months in 2017 and 2018. They were manually annotated using the freely available LabelImg online tool. The Skagen dataset was collected at the Skagen Grey Lighthouse, Center of Migratory Birds using a pair of wide-angle, monochrome cameras firmly affixed to rigid boxes. The Kilm set was collected at Klim Fjordeholme using the same camera setup; except the cameras were mounted on tripods.
The datasets were collected at two sites in Denmark over the course of a few months in 2017 and 2018. The datasets were manually annotated using the freely available LabelImg online tool. The Skagen dataset was collected at the Skagen Grey Lighthouse, Center of Migratory Birds using a pair of wide-angle, monochrome cameras firmly affixed to rigid boxes. The Kilm data were collected at Klim Fjordeholme using the same camera setup; except, here, the cameras are mounted on tripods.
Citation and access
Citation and access
Data access level:
Creator/Principal investigator(s):
- Hiba Alqaysi - Mid Sweden University
Research principal:
Data contains personal data:
No
Citation:
Language:
Method and outcome
Method and outcome
Data format/data structure:
Geographic coverage
Geographic coverage
Geographic location:
Geographic description:
Two wind farms in Denmark, namely Skagen - Grey Lighthouse and Klim Fjordeholme
Administrative information
Administrative information
Responsible department/unit:
Department of Electronics Design (EKS)
Contributor(s):
- Igor Fedorov - Linköping University
Funding
Funding
Funding agency:
- Knowledge foundation
Topic and keywords
Topic and keywords
Standard för svensk indelning av forskningsämnen 2025:
Keywords:
Publications
Publications
Citation:
Alqaysi, H., Fedorov, I., Qureshi, Faisal. Z., & O’Nils, M. (2021). A temporal boosted yolo-based model for birds detection around wind farms. In Journal of Imaging (No. 227; Vol. 7, Issue 11). https://doi.org/10.3390/jimaging7110227Opens in a new tab
Metadata
Metadata
Version 1

Mid Sweden University