Update README.md

README.md

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 ## Dataset description
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 <!-- Provide the basic links for the model. --> NOAA Marine Mammal Lab Aerial surveys conducted Summer 2024. The images are large aerial images with varying substrates and pinniped species. All images annotated by hand and resized to 640x640 by me. Albumentations are default ones set by Yolov11. 
 
 
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 '''python
 
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 ### Model Assesment
 
 <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> 
 
 ![F1-confidence curve](https://huggingface.co/OceanCV/Pinniped_Model/raw/main/F1_curve%20(4).png)
 
-F1-Confidence Curve:
-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. 
+<!-- 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/blob/main/confusion_matrix_normalized%20(2).png)
-Normalized Confusion Matrix
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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.