Cameron Trotter

@camerontrotter.bsky.social

🇦🇶 ML Research Scientist @bas.ac.uk, applying computer vision to the Antarctic benthos

Next week I'll be in Glasgow for the Ocean Sciences Meeting 2026, presenting our work on understanding the current state of Southern Ocean benthic ecosystems using computer vision. Please come and chat if you're interested! 🗓️ Friday 27th February, 14:00-15:30 🏠 Hall 4, eLightning Theatre 2

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Only a few days left to sign up for our Computer Vision Training for Marine Ecologists workshop, happening in-person at @bas.ac.uk in March. Don't miss out!

Cameron Trotter@camerontrotter.bsky.social · 8mo ago

🌊 Computer Vision Training for Marine Ecologists 🗓️ 10-11/3/26 🏠 @bas.ac.uk 2-day workshop on applying computer vision to marine research. No ML experience needed! Covers data processing, analyses, & interpreting outputs. 📅 Deadline: 30/1/26, 5pm (UK) 🔗 Apply: sams-tom.github.io/marine-works...

The CVPR 2026 Workshop Proposal site is now live on OpenReview! 🎉 Submit your ideas and help shape the future of computer vision and AI: openreview.net/group?id=the... @cvprconference.bsky.social

CVPR 2026 Workshop Proposals

Welcome to the OpenReview homepage for CVPR 2026 Workshop Proposals

openreview.net

Humphrey Shi@humphreyshi.bsky.social · 11mo ago

CVPR 2026 Workshop Call is officially open! 🎉 📅 Deadline: Nov 3, 2025 cvpr.thecvf.com/Conferences/... We expect to host over 100 workshops this year — and this is where the next breakthroughs begin. 🚀 With Mei Chen,Erik Blasch,Brian Clipp,Sharon Huang,Andreas Savakis @cvprconference.bsky.social

🌟 ‘Automated Detection of Antarctic Benthic Organisms to Aid Biodiversity Monitoring’ is by Cameron Trotter, Huw Griffiths, Tasnuva Ming Khan + Rowan Whittle. It was published at the Joint Workshop on Marine Vision, at the International Conference on Computer Vision ⬇️ www.bas.ac.uk/media-post/a...

Artificial Intelligence supercharges science on the Antarctic seafloor - British Antarctic Survey

Using the latest AI technology, scientists have dramatically sped up the process of detecting animals found in photographs and video taken of the seafloor.

bas.ac.uk

Supercharged seafloor spotting! 🐚 Our AI and science teams have been using machine learning to label surveys of the Antarctic seafloor. It's dramatically sped them up from <8 hours per photo, to a few seconds. This one looks like a quick job. But stay with us as we up the difficulty... 🧵 1/4

Image 1 is a pretty empty image of the Antarctic Sea floor. There's visibly a few large starfish in bright pink.In the annotated version of image 1, there's around 15 creatures labelled, including some tiny shells scattered across the floor.

One way sighted people can determine what to put in alt text: Imagine you sent the post or article to a friend, and the image didn't load. What would someone need to know to get the equivalent experience and context? This will help you identify the important details.

Great time at this year’s NERC Digital Gathering, chatting with colleagues from across NERC-funded centres and sharing ideas about the role of emerging technologies in environmental science. Lots of interesting discussion from my talk on Southern Ocean benthic image analysis using computer vision!

A photo showing myself (top-left) standing in front of a room of people (4 in shot) giving a talk. I am standing next to a presentation slide (top-right) displaying 4 QR codes directing to our research paper, code, dataset, and guide.

Come hear me chat about my work building an AI assistant for Southern Ocean biodiversity monitoring @bas.ac.uk! I promise there will be lots of pictures of sea critters 🪸🦑🦀

MASTS@mastscot.bsky.social · last yr.

Please join us for the upcoming Open Forum Session by the Marine #AI Forum! The session titled Understanding the Current State of #SouthernOcean #Benthic Ecosystems Using #DeepLearning Computer Vision with Dr Cameron Trotter (@bas.ac.uk) will be taking place online on Thurs 3 Apr at 10 am UTC.