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  # Behavioral Tracking Model for Captive Animals
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  **By Sophia Mangrubang**
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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.
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- ![Final object detection video from object detection final run](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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  **Example Impact:** Researchers found that sea otters spend the majority of their resting time on land, hidden behind objects (rocks, toy structures) and in the seclusion zone. They then the modified enclosure to provide more private spaces, such as large toys and structures, to provide more secluded spaces.
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  **Model Justification:** My model would be a reasonable tool for initial data collection, providing species interaction data across zones, animal frequency, and areas of interest within the enclosure.
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- license: mit
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+ license: mit
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  # Behavioral Tracking Model for Captive Animals
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  **By Sophia Mangrubang**
 
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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 on my [repository](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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  **Example Impact:** Researchers found that sea otters spend the majority of their resting time on land, hidden behind objects (rocks, toy structures) and in the seclusion zone. They then the modified enclosure to provide more private spaces, such as large toys and structures, to provide more secluded spaces.
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  **Model Justification:** My model would be a reasonable tool for initial data collection, providing species interaction data across zones, animal frequency, and areas of interest within the enclosure.