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@@ -82,7 +82,7 @@ https://huggingface.co/OceanCV/Southern_Sea_Otter_Tracking/blob/main/F1_curve.pn
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  ![F1 graph from final run](https://huggingface.co/OceanCV/Southern_Sea_Otter_Tracking/resolve/main/F1_curve.png?download=true)
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  ### Object Detection Model Output
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- My final object detection output video was a key metric in assessing the performance of my model. I bounced between looking at the output video, assessing how accurate the bounding boxes and identifications were, and rerunning the model with modified parameters. My final model output was successful at identifying sea otters in both land and water, with minimal misclassifications or missed detections. The final video can be found in my respository or downloaded [here.](https://huggingface.co/OceanCV/Southern_Sea_Otter_Tracking/resolve/main/object_detection_final.avi?download=true)
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  ---
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  # Model Use-case
 
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  ![F1 graph from final run](https://huggingface.co/OceanCV/Southern_Sea_Otter_Tracking/resolve/main/F1_curve.png?download=true)
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  ### Object Detection Model Output
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+ My final object detection output video was a key metric in assessing the performance of my model. I bounced between looking at the output video, assessing how accurate the bounding boxes and identifications were, and rerunning the model with modified parameters. My final model output was successful at identifying sea otters in both land and water, with minimal misclassifications or missed detections. The final video can be found in my respository or downloaded [here](https://huggingface.co/OceanCV/Southern_Sea_Otter_Tracking/resolve/main/object_detection_final.avi?download=true).
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  ---
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  # Model Use-case