DeepOtolith

Instant fish age prediction, powered by AI.

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WHO WE ARE

We’re a team of marine scientists,
programmers and machine learning experts,
working together to advance AI in Fisheries Science.

Artificial Intelligence

Motive

Accurate estimation of fish ageing is crucial for assessing the status of fish stocks and developing management plans for ensuring their sustainability. The prevailing methods of fish ageing are based on manual readings of otolith images by experts, a process that is often time-consuming and costly.


Future Work

Our long term aim is to extend this tool by adding more fish species and improving the predictability of existing ones.


Contributing

DeepOtolith welcomes collaborations with researchers who want to contribute towards the automation of fish ageing.


References

Other

Contributors

Contact Us

If you have any questions, suggestions or interested in testing your case study, please contact Dr. Dimitris Politikos

dimpolithcmr.gr