OceanCV
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Southern_Sea_Otter_Tracking

Object Detection

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sophia-m commited on Mar 12, 2025

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@@ -57,7 +57,7 @@ https://huggingface.co/OceanCV/Southern_Sea_Otter_Tracking/blob/main/confusion_m
 ## F1 Score
 The final F1 curve shows my model’s high precision and recall across the various confidence levels. The curve had a high peak, signifying a harmonic balance between precision and recall.
 https://huggingface.co/OceanCV/Southern_Sea_Otter_Tracking/blob/main/F1_curve.png
-![F1 graph](https://huggingface.co/OceanCV/Southern_Sea_Otter_Tracking/blob/main/F1_curve.png)
 ## Object Detection Model Output
 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.

 ## F1 Score
 The final F1 curve shows my model’s high precision and recall across the various confidence levels. The curve had a high peak, signifying a harmonic balance between precision and recall.
 https://huggingface.co/OceanCV/Southern_Sea_Otter_Tracking/blob/main/F1_curve.png
+![F1 graph](https://huggingface.co/OceanCV/Southern_Sea_Otter_Tracking/resolve/main/F1_curve.png?download=true)
 ## Object Detection Model Output
 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.