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README.md
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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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### Model Assesment
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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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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### 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 -->
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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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### Model Assesment
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.png)
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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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### 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 Seae Lions and Northern Fur Seals.
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