[KongchangAI]
Model

Molmo2Fish

An experimental model built on the open weights of Molmo 2 for automatically tracking salmon in sonar imagery. It supports a natural language correction interface, lowering the barrier for domain experts to participate in model iteration.

Timeline (last 90 days)

Oct 13

MIT researcher Kai Van Brunt used the open-source Molmo 2 model to build Molmo2Fish, an experimental model that can track salmon from sonar imagery.

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Oct 13

The core capability of Molmo2Fish is that it allows researchers to give correction instructions in natural language to fix tracking errors, rather than adjusting annotations frame by frame.

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Oct 13

Molmo2Fish is still positioned as an experimental model and may not yet reach production level in terms of accuracy and robustness.

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Oct 13

The open-sourcing of a general-purpose multimodal model spawned a cross-disciplinary scientific application prototype within a few months.

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