Publication Date

2026

Document Type

Dataset

Keywords

WISDAM, MAD AI, dugong, imagery survey, aerial survey, image processing, wildlife detection, marine wildlife, image review, AI verification, mapping

Publisher

Edith Cowan University

School or Research Centre

Center for Marine Ecosystems Research / School of Science

Funders

Department of Biodiversity Conservation and Attractions

Description

This example dataset is designed to support our WISDAM (Wildlife Image Survey Detection and Mapping) software—a free, open‑source application (available at www.WISDAMapp.org) created for researchers conducting wildlife imagery surveys. WISDAM enables users to generate data suitable for abundance estimation and spatial modelling from aerial photographic surveys of marine and terrestrial megafauna.

Start of data collection time period

2019

End of data collection time period

2019

File Format(s)

Images - JPG; WISDAM project file - SQLITE

File Size

Total download 1.53 GB

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Contact

Enquiries about the dataset may be sent to Amanda Hodgson: a.hodgson@ecu.edu.au

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Link to publisher version (DOI)

10.25958/11sp-p028