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Methods for cetacean research include photo-identification (photo-id) andpassive acoustic monitoring (PAM) which generate thousands of images perexpedition that are currently hand categorised by researchers into theindividual dolphins sighted. With the vast amount of data obtained it iscrucially important to develop a system that is able to categorise thisquickly. The Northumberland Dolphin Dataset (NDD) is an on-going novel datasetproject made up of above and below water images of, and spectrograms ofwhistles from, white-beaked dolphins. These are produced by photo-id and PAMdata collection methods applied off the coast of Northumberland, UK. Thisdataset will aid in building cetacean identification models, reducing thenumber of human-hours required to categorise images. Example use cases andareas identified for speed up are examined.

The Northumberland Dolphin Dataset: A Multimedia Individual Cetacean Dataset for Fine-Grained Categorisation