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README.md
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## Confusion Matrix
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The final confusion matrix shows that my model was very successful at identifying sea otters across the dataset. There are a portion of mislabels where the model mistook a sea otter for background, but this can be expected with the quality of training images and smaller dataset.
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https://huggingface.co/OceanCV/Southern_Sea_Otter_Tracking/blob/main/confusion_matrix_final.png
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# Model Use-case
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## Confusion Matrix
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The final confusion matrix shows that my model was very successful at identifying sea otters across the dataset. There are a portion of mislabels where the model mistook a sea otter for background, but this can be expected with the quality of training images and smaller dataset.
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https://huggingface.co/OceanCV/Southern_Sea_Otter_Tracking/blob/main/confusion_matrix_final.png
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## F1 Score
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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.
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https://huggingface.co/OceanCV/Southern_Sea_Otter_Tracking/blob/main/F1_curve.png
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# Model Use-case
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