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@@ -27,10 +27,17 @@ This model detects California Sea Lions, and Northern Fur Seals, and a veriety o
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  ## Dataset description
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  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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  #
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  ### Model Selection
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- I used Yolov11 because it was the most up to date Yolo at the time. I used object detectiono because it would allow me to both collect data no population numbers for multiple classes, but it also allows me to see destribtions on specific beaches and landforms.
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  #
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  ### Model implementation
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  ## Dataset description
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  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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+ My dataset includes:
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+ -10 images
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+ -3325 annotations
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+ -8 classes
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+ -median image ration:8750x5833
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+ -average image size: 51.04 mp
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  #
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  ### Model Selection
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+ I used Ultralytics Yolov11 because it was the most up to date Yolo at the time. I used object detectiono because it would allow me to both collect data on population numbers for multiple classes, but it also allows me to see destribtions on specific beaches and landforms.
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  #
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  ### Model implementation
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