Projects

A citizen science and machine learning approach to identify fish in baited underwater videos.

Snapper in front of kelp forest. Photo by Department of Conservation.

A citizen science and machine learning approach to identify fish in baited underwater videos.

A pattern recognition software that facilitates the individual identification of Archey’s frogs.

Archey's frog in the field. Photo by James Reardon

A pattern recognition software that facilitates the individual identification of Archey’s frogs.

A smart camera that monitors ground-dwelling herpetofauna and invertebrates.

Wētā Watcher on the field. Photo by Victor Anton.

A smart camera that monitors ground-dwelling herpetofauna and invertebrates.

A citizen science and machine learning approach to identify animals living on the ocean floor.

Cold water coral. Photo by Emil Burman.

A citizen science and machine learning approach to identify animals living on the ocean floor.

An educational activity to learn why and how to train a machine learning model to recognise photos of kiwi and stoats.

Caption of the code use in Scratch to create an app that automatically identifies photos kiwi and stoats

An educational activity to learn why and how to train a machine learning model to recognise photos of kiwi and stoats.

Our work is open-source, adaptable and scalable.

Email us if you need any help on how to use our resources.