AI4DBP - FishNet - species classification using deep learning with a data set of one million fish
Channel: Food and Agriculture Organization of the United Nations
Date: 06/09/2021

The FishNet project undertakes species classification and size regression using deep learning from a labelled dataset of one million fish. 

By using a massive dataset of photographs taken by Indonesian fishers from over 500 vessels and annotated by a team of biologists, we are training an artificial intelligence system to assist with fish stock estimation. Presented by Peter Sadowski, Assistant Professor of Computer Science, University of Hawaii Manoa.



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