Automated Fish ID (AFID) - Using Machine Learning to identify, measure and count fish

Part of Future of Work Institute’s Thursday Seminar Series

This session will introduce the Curtin Institute for Computation, what we do and how you can collaborate with us.

The session will also present a real-world, industry-aligned project to identify, measure and count fish.  We will

discuss why counting fish is important for fisheries, aquaculture and conservation and how we are using computer

vision, machine learning and AI to progress the automation of what is currently a manual, labour intensive process.

Click on the link below if you are interested to find out more about AFID prior to the session:

https://www.afid.io/

About the Speaker

Dr Dan Marrable completed a PhD in Earth observation and remote sensing at Curtin University after graduating with first class honours in applied physics.

Prior to joining the Curtin Institute for Computation (CIC), Dan has worked on numerous projects funded by the European Space Agency and World Bank, which included calibration and validation of Earth observation satellites, shallow water habitat mapping from space and radiative transfer modelling. During this time, he has gained extensive experience in processing very large data sets and coding complex light models on a variety of platforms such as cloud infrastructure, supercomputers and GPUs.

Venue

RSVP to Diane Garnham is essential (diane.garnham@curtin.edu.au)

• In person: Future of Work Institute, 78 Murray Street Perth (Building P01)
• Online: Microsoft Teams