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@@ -53,4 +53,32 @@ Below is the F1 confidence curve for this model:
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  ![Confidence Curve](https://huggingface.co/OceanCV/Glass_Eel/resolve/main/F1_curve%20(1).png)
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- Clearly describes an example study that could be conducted using the model, including a specific hypothesis and a well-justified explanation of why the model is an effective tool for the study. For unsupervised projects, includes clear instructions for submitting a markdown document with a context figure explaining cluster meanings.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ![Confidence Curve](https://huggingface.co/OceanCV/Glass_Eel/resolve/main/F1_curve%20(1).png)
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+ A F1 confidence curve shows the balance between precision and recall over the confidence of the model. The higher the score F1 score the better however when plotted over confidence we tend to like to see that it has a nice rounded shape as this model does. This model tended to beat out the odds as with marine snow it can be very hard to tell what is an eel and what isnt. From this graph you can articulate that both precision and recal performed well with low and high confidence levels.
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+ # Potential Study
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+ ## Hypothesis
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+ Glass Eel migration patterns are influenced by seasonal environmental factors such as tides, temperature, and salinity, with peak migration occurring during specific lunar and tidal phases.
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+ ## Justification
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+ A YOLO-based detection model is well-suited for this study due to its ability to process underwater video data efficiently, enabling automated identification and tracking of Glass Eels in diverse and dynamic aquatic environments. This approach minimizes human error, ensures consistency in detection, and allows for large-scale data analysis over extended time periods.
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+ ## Study Design
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+ To investigate eel migration patterns, underwater cameras and remotely operated vehicles (ROVs) will be deployed at key estuarine migration points. Daily video recordings will be collected over one year to track eel movements, with the YOLO model used for automated detection and counting.
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+ ## Key Research Questions
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+ - When do Glass Eels migrate in the highest numbers?
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+ - How do tides, temperature, and salinity affect migration?
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+ - Are there long-term changes in migration patterns over the study period?
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+ ## Data Analysis
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+ - **Eel Count Trends:** Analyze seasonal and daily fluctuations in migration.
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+ - **Environmental Correlation:** Compare eel activity with environmental parameters such as tides, temperature, and moon phases.
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+ - **Migration Pathways:** Identify preferred routes and potential barriers to migration.
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+ ## Impact & Applications
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+ - **Conservation Planning:** Provide data to protect critical migration corridors.
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+ - **Fisheries Management:** Inform sustainable harvesting practices and regulatory decisions.
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