We developed an automated fish detection and tracking pipeline for aquatic conservation

In our recently published study, we reviewed the current use of computer vision in fish movement research

My recent interview conducted by the Moreton Bay Environmental Education Centre where I talk about FishID

August 2020 update on the FishID model being developed through the Microsoft AI for Earth Grant.

The LILA BC is an online and open-access repository that holds computer vision datasets for conservation research.

I summarise some of the most versatile Artificial Intelligence platforms that can help you automate the processing of coral reef imagery.

What are some of the specific data science skills that are helping ecologists tackle global questions?

I show some of the most used, open-access and updated fish datasets for automatic fish detection and classification.

Six months ago, the Global Wetlands Project team had the privilege to be awarded a Microsoft AI for Earth Grant for US $10,000.