The Northumberland Dolphin Dataset: A Multimedia Individual Cetacean Dataset for Fine-Grained Categorisation. - Cameron Trotter; Georgia Atkinson; Matthew Sharpe; A. Stephen McGough; Nick Wright; Per Berggren (CoRR, 2019)

NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation. - Cameron Trotter; Georgia Atkinson; Matthew Sharpe; Kirsten Richardson; A. Stephen McGough; Nick Wright; Ben Burville; Per Berggren (CoRR, 2020)

Application of deep learning to camera trap data for ecologists in planning / engineering - Can captivity imagery train a model which generalises to the wild? - Ryan Curry; Cameron Trotter; A. Stephen McGough (IEEE BigData, 2021)

Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology. - Cameron Trotter; Nick Wright; A. Stephen McGough; Matthew Sharpe; Barbara Cheney; Mònica Arso Civil; Reny Tyson Moore; Jason Allen; Per Berggren (IEEE Big Data, 2022)

Human Body Shape Classification Based on a Single Image. - Cameron Trotter; Filipa Peleja; Dario Dotti; Alberto de Santos (CoRR, 2023)

Surveying the deep: A review of computer vision in the benthos. - Cameron Trotter; Huw J. Griffiths; Rowan J. Whittle (Ecol. Informatics, 2025)

Automated Detection of Antarctic Benthic Organisms in High-Resolution In Situ Imagery to Aid Biodiversity Monitoring. - Cameron Trotter; Huw J. Griffiths; Tasnuva Ming Khan; Rowan J. Whittle (CoRR, 2025)