Aggregating and Integrating Data on Health Outcomes Associated with Bushfires at a National Scale
Exploreabout Aggregating and Integrating Data on Health Outcomes Associated with Bushfires at a National Scale
FishID
A robust and intuitive AI system for researchers to annotate imagery and to train and evaluate deep learning models to monitor coastal and marine species of interest
Who will benefit
Researchers, federal and state government, farmers, environmental educators and tourism operators
Program
The Challenge
Current methods of monitoring fish populations involve high costs for manually processing and extracting data from underwater cameras. The FishID project aims to transform environmental monitoring of aquatic ecosystems in Australia through automated detection and identification of animals in underwater imagery.
The Response
The FishID platform has overcome the cost associated with manually processing and extracting data from underwater cameras by creating a user-friendly, public-facing end-to-end pipeline for deep learning detection and automated identification of animals.
FishID is a robust and intuitive system for researchers to annotate imagery, train and evaluate deep learning models to accurately detect, identify and count species of interest across coastal and marine ecosystems.
The project involved the following elements:
- an automated, integrated service for object detection and classification of underwater imagery including an annotation tool, video analysis and output, improved user interface and public API
- training, including videos, documentation and full training packages to support uptake and use.
- community, where software testing and workshops was carried out with users.
The Outcomes
Use FishID, which fills a critical infrastructure gap between the collection of underwater imagery and the resulting data made available in national repositories. It will enable a step-change in monitoring efficiency that will improve outcomes across multiple spaces, including:
Who Will Benefit
Researchers, federal and state government, farmers, environmental educators and tourism operators will benefit from the project’s core features:
The Partners
- Griffith University
- The University of Adelaide
- University of the Sunshine Coast
- The University of Western Australia
- James Cook University
- Education Queensland (Moreton Bay Environmental Education Centre)
- WA Department of Primary Industries and Regional Development
Contact the ARDC
Timeframe
December 2020 to December 2022
Current Phase
Complete
ARDC Co-investment
$211,000
Project lead
Griffith University
Categories
Research Topic
Related Projects
