AustrOzFish is a collection of ~80k fish crops, ~45k bounding box annotations derived from Baited Remote Underwater Video Stations (BRUVS) and comprised of 70 families, 200 genera and 507 species of fish. This dataset is completely open and free to use for advancing machine learning for the classification of fish from underwater imagery.
To cite this dataset use the following:
Australian Institute of Marine Science (AIMS), University of Western Australia (UWA) and Curtin University. (2019), OzFish Dataset - Machine learning dataset for Baited Remote Underwater Video Stations, https://doi.org/10.25845/5e28f062c5097alian Research Data Commons
https://ardc.edu.au/news/data-and-services-discovery-activities-successful-applicants/
| Data owner | Mathew Wyatt |
|---|---|
| Data public access | |
| Data home folder | FDFML |
| Data re-use restrictions | No encumbrances. |