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  # <span style="color:blue">FishNet: AI For Fish Stock Estimation</span>
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  The attached model was trained on a 63000 dataset of fish images belonging to 163
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- species. First we trained a detectron2 model to detect and segment fish and feduciary markers on a board.
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- The detectron 2 model was written in pytorch, and the final classifier is a ResNet50 keras model.
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  Below is an example of how to use the 2 models.
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  # <span style="color:blue">FishNet: AI For Fish Stock Estimation</span>
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  The attached model was trained on a 63000 dataset of fish images belonging to 163
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+ species. First, we trained a detectron2 model to detect and segment fish and fiduciary markers on a board.
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+ The detectron2 model was written in PyTorch, and the final classifier is a ResNet50 keras model.
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  Below is an example of how to use the 2 models.
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