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@@ -60,18 +60,18 @@ print(results)
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  ![image/png](https://huggingface.co/OceanCV/Pinniped_Model/resolve/main/F1_curve%20(4).png?download=true)
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- F1-confidence curves shows us the ideal balance between precision and recall and how that changes with confidence. My model shows decent F1 scores for CU_non_pup and ZC_non_pup around 0.3 confidence but struggles with all of the other classes.-->
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  ![Normalized confusion matrrix](https://huggingface.co/OceanCV/Pinniped_Model/resolve/main/confusion_matrix_normalized%20(2).png?download=true)
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- Normalized Confusion Matrix shows the percentage of true predictions against all of the other classes in the dataset. Here we can see that my model has difficulties correctly predicting some of my smaller classes as well as the pups.-->
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  ### Model Assesment
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  <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> This model is to be used by scientist studying Pinniped populations and destributions on the California Coastline. It could be used to show changing population dynamics between eg. California Sea Lions and Northern Fur Seals.
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  ### Disclaimer
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  This repository is a scientific product and is not official communication of the National Oceanic and Atmospheric Administration, or the United States Department of Commerce. All NOAA project content is provided on an ‘as is’ basis and the user assumes responsibility for its use. Any claims against the Department of Commerce or Department of Commerce bureaus stemming from the use of this project will be governed by all applicable Federal law. Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation or favoring by the Department of Commerce. The Department of Commerce seal and logo, or the seal and logo of a DOC bureau, shall not be used in any manner to imply endorsement of any commercial product or activity by DOC or the United States Government.
 
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  ![image/png](https://huggingface.co/OceanCV/Pinniped_Model/resolve/main/F1_curve%20(4).png?download=true)
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+ F1-confidence curves shows us the ideal balance between precision and recall and how that changes with confidence. My model shows decent F1 scores for CU_non_pup and ZC_non_pup around 0.3 confidence but struggles with all of the other classes.
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  ![Normalized confusion matrrix](https://huggingface.co/OceanCV/Pinniped_Model/resolve/main/confusion_matrix_normalized%20(2).png?download=true)
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+ Normalized Confusion Matrix shows the percentage of true predictions against all of the other classes in the dataset. Here we can see that my model has difficulties correctly predicting some of my smaller classes as well as the pups.
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  ### Model Assesment
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  <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> This model is to be used by scientist studying Pinniped populations and destributions on the California Coastline. It could be used to show changing population dynamics between eg. California Sea Lions and Northern Fur Seals.
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+ #
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  ### Disclaimer
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  This repository is a scientific product and is not official communication of the National Oceanic and Atmospheric Administration, or the United States Department of Commerce. All NOAA project content is provided on an ‘as is’ basis and the user assumes responsibility for its use. Any claims against the Department of Commerce or Department of Commerce bureaus stemming from the use of this project will be governed by all applicable Federal law. Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation or favoring by the Department of Commerce. The Department of Commerce seal and logo, or the seal and logo of a DOC bureau, shall not be used in any manner to imply endorsement of any commercial product or activity by DOC or the United States Government.