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

Thu, 14 Oct

|

Future of Work Institute

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

with Dr Dan Marrable, Lead Data Scientist at Curtin Institute for Computation

Registration is Closed
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Time & Location

14 Oct 2021, 2:00 pm – 3:00 pm AWST

Future of Work Institute, 78 Murray Street, Perth WA, Australia

About the Event

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:

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Contact Us

Future of Work Institute

Curtin Graduate School of Business 

78 Murray Street

Perth WA 6000


Telephone: +61 8 9266 4668

Email: fowi@curtin.edu.au

The Future of Work Institute (FoWI) promotes productive and meaningful work as essential foundations of a healthy economy and society.

FoWI’s researchers focus on how people contribute to and benefit from new knowledge and practices, and their mission is to support thriving people and organisations in the digital age.

The Future of Work Institute acknowledges Whadjuk Nyungar people who remain Custodians of the lands on which we research, learn and collaborate.

© 2025 Future of Work Institute, Curtin University

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