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Welcome to SUBSIM

- the Swedish platform for subsea image analysis

The quickly rising demand to monitor the ocean with autonomous techniques and computer vision methods led to the development of SUBSIM, a platform for efficient management and processing of underwater image and video data. SUBSIM provides essential functions to conduct research and automated monitoring with image and video surveys, including data management, machine learning, digital collaboration, citizen science, and high-performance computing.

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Documentation

Find source code and explanation of functionality.

Setup

Press this button to start a project and upload your media.

Classify

Explore underwater footage and learn about marine species and habitats.

Analyse

This is the gateway to train and test your models.

Publish

Press this button to analyse footage, publish models and model-based observations.

User stories

Learn more about what other people do on SUBSIM.

Funding agencies

Core partners

Examples & applications

Selected publications

You find the full publication list here

Borremans C, et al (2024) Report on the Marine Imaging Workshop 2022. Research Ideas and Outcomes 10: e119782. https://doi.org/10.3897/rio.10.e119782.
Obst, M., Al-Khateeb, S., Anton, V., & Germishuys, J. (2023). Synthetic images of corals (Desmophyllum pertusum) with object detection models (Version 1). Data publication, University of Gothenburg. https://doi.org/10.5878/hp35-4809.
Anton V, Germishuys J, Bergström P, Lindegarth M, Obst M (2021) An open-source, citizen science and machine learning approach to analyse subsea movies. Biodiversity Data Journal https://bdj.pensoft.net/article/60548/.