Smarter monitoring for healthier oceans: How the GLOW team uses FishID

Posted by kristin.jinks@griffithuni.edu.au
On May 2, 2025

Monitoring marine and coastal ecosystems is essential for conservation, but traditional survey methods are time-consuming, costly, and difficult to scale. FishID.org is changing that. By using AI to automatically identify, count, and measure fish and other marine animals in underwater video footage, FishID enables researchers to collect high-quality data more efficiently and at much larger […]

Fish AI Consortium Presentation: Rapid improvements in fisheries monitoring with underwater computer vision

Posted by Jasmine Hall
On April 5, 2024

Written by Jasmine Hall and edited by Alex White In March 2024, Professor Rod Connolly presented at the inaugural Fish AI Consortium seminar series, showing how automation using underwater computer vision is transforming fisheries science and empowering conservation practitioners in the coastal and marine space. He shared results from three case studies comparing restored and […]

Automated fish tracking for aquatic conservation

Posted by Natasha Watson
On May 28, 2021

By Sebastian Lopez Automated and remote techniques are becoming more common in management and conservation of the environment. These techniques can provide us with Big Data required to understand the complex interactions and behaviour that occur in the natural world. In marine ecosystems, the application of automated techniques is challenging due to the variable and […]

An annotated fish dataset in unconstrained seagrass habitats for machine learning algorithms

Posted by Natasha Watson
On March 17, 2021

By Ellen Ditria A new data report and a publicly available dataset will allow further exploration of the use of computer vision techniques in aquatic environments. Computer vision techniques in ecology have gained much attention as they can quickly and accurately process images from videos. They allow scientists to monitor both individuals and populations at […]