YOLOv9c object detector trained on the 18-class general split of the FjordFish underwater imagery dataset: https://zenodo.org/records/17496689

For more information see our associated publication: link tba upon publication

If you use this model, please cite the associated publication:

Poling, J. D., Perry, D., Halvorsen, K. T., Malde, K., Thormar, J., Larsen, T., & Sørdalen, T. K. (2026). Annotation strategy trade-offs for deep learning-based underwater fish detection. Ecological Informatics, 103891.


license: apache-2.0

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