Annotated birds dataset for object detection using deep learning, Skagen och Klim Annotated birds datasets for object detection using deep learning, Skagen and Klim 2021-316-1-1 https://doi.org/10.5878/x1cm-pq40 Swedish National Data Service Svensk nationell datatjänst Landing page Annotated birds dataset for object detection using deep learning, Skagen och Klim Annotated birds datasets for object detection using deep learning, Skagen and Klim 2021-316-1-1 https://doi.org/10.5878/x1cm-pq40 oai:DiVA.org:miun-43641 urn:nbn:se:miun:diva-43641 10.3390/jimaging7110227 Alqaysi, Hiba Alqaysi, Hiba Swedish National Data Service Svensk nationell datatjänst Landing page 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. Datasetet består av bilder på fåglar i vindkraftsparker. Den samlas in i två vindkraftsparker i Danmark, Skagen och Klim. Varje bild har sin motsvarande textfil som innehåller objektets plats. Datasetet ligger till grund för följande publikation: "A Temporal Boosted YOLO-Based Model for Birds Detection around Wind Farms" Se den engelska katalogsidan för mer information. Denmark Danmark Text Still image Access to data through SND. Data are freely accessible. Åtkomst till data via SND. Data är fritt tillgängliga. openAccess 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/jimaging7110227 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/jimaging7110227 urn:nbn:se:miun:diva-43641 10.3390/jimaging7110227 oai:DiVA.org:miun-43641 2021 oai:DiVA.org:miun-43641