Software

Drones count wildlife more accurately and precisely than humans: semi-automated aerial image counting approach - archived source code and dataset

Adelaide University
Hodgson, Jarrod ; Pham, Trung ; Koh, Lian Pin ; Reid, Ian
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25909/5771493.v1&rft.title=Drones count wildlife more accurately and precisely than humans: semi-automated aerial image counting approach - archived source code and dataset&rft.identifier=10.25909/5771493.v1&rft.publisher=The University of Adelaide&rft.description=This is an archived copy of the source code and dataset used for the semi-automated aerial image counting approach within Hodgson et al 2018 ('Drones count wildlife more accurately and precisely than humans' Methods in Ecology and Evolution). The current version is available via Bitbucket (https://bitbucket.org/trungtpham/bird-detection). &rft.creator=Hodgson, Jarrod &rft.creator=Pham, Trung &rft.creator=Koh, Lian Pin &rft.creator=Reid, Ian &rft.edition=1&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=Ecology not elsewhere classified&rft_subject=bird&rft_subject=drones&rft_subject=wildlife&rft_subject=population monitoring&rft_subject=surveys&rft_subject=RPA&rft_subject=RPAS&rft_subject=UAV&rft_subject=UAS&rft_subject=ecology&rft.type=Computer Program&rft.language=English Access the software
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Full description

This is an archived copy of the source code and dataset used for the semi-automated aerial image counting approach within Hodgson et al 2018 ('Drones count wildlife more accurately and precisely than humans' Methods in Ecology and Evolution).

The current version is available via Bitbucket (https://bitbucket.org/trungtpham/bird-detection).

This dataset is part of a larger collection

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Subjects
Ecology not elsewhere classified | RPA | RPAS | UAS | UAV | bird | drones | ecology | population monitoring | surveys | wildlife |

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Identifiers
ACN 633 798 857