OceanCV
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Pinniped_Model

Object Detection

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Chrismoon commited on Mar 13

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@@ -58,11 +58,11 @@ print(results)
 ### Model Assesment
-![image/png](https://huggingface.co/OceanCV/Pinniped_Model/resolve/main/F1_curve%20(4).png?download=true)
 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.
-![Normalized confusion matrrix](https://huggingface.co/OceanCV/Pinniped_Model/resolve/main/confusion_matrix_normalized%20(2).png?download=true)
 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.

 ### Model Assesment
+![image/png](https://huggingface.co/OceanCV/Pinniped_Model/resolve/main/F1_curve.png?download=true)
 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.
+![Normalized confusion matrrix](https://huggingface.co/OceanCV/Pinniped_Model/resolve/main/confusion_matrix_normalized.png?download=true)
 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.