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README.md
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# Scientific Context
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<!-- Provide a quick summary of what the model is/does. --> Pinnipeds are abundent along the entire west coast, their populations and destributions can tell us about the health of our oceans and coastlines. Studying Pinniped is important because they are
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<!-- Provide a longer summary of what this model is. --> This model detects California Sea Lions, and Northern Fur Seals, and a veriety of age classes. It is designed to help streamline population counts and help scientists study Pinniped populations. This model uses images from an aerial survey of the California coast by NOAA's Marine Mammal Lab. It uses YOLOv11 as a base model for inferences. Model weights are updated to the most recent model run.
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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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<!-- 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 Use Case
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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
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# Scientific Context
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<!-- Provide a quick summary of what the model is/does. --> Pinnipeds are abundent along the entire west coast, their populations and destributions can tell us about the health of our oceans and coastlines. Studying Pinniped is important because they are sentinals of the ocean, they are indicators of a healthy ocean and can help us better understand ecoosystems and fisheries that arre critical to many communities.
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<!-- Provide a longer summary of what this model is. --> This model detects California Sea Lions, and Northern Fur Seals, and a veriety of age classes. It is designed to help streamline population counts and help scientists study Pinniped populations. This model uses images from an aerial survey of the California coast by NOAA's Marine Mammal Lab. It uses YOLOv11 as a base model for inferences. Model weights are updated to the most recent model run.
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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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.png)
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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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