| --- |
| license: mit |
| datasets: |
| - OceanCV/EcotypeTransect |
| language: |
| - en |
| base_model: |
| - FathomNet/MBARI-315k-yolov8 |
| pipeline_tag: object-detection |
| tags: |
| - biology |
| - climate |
| --- |
| # Model Card for Model ID |
|
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| This model is designed for object detection in marine environments, specifically targeting benthic megafauna in ROV transects. |
|
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| ## Model Details |
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| ### Training Data |
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| The model is trained on the OceanCV/EcotypeTransect dataset, which contains annotated images of marine fauna and geological features from various methane seep and hydrothermal vent sites along the West Coast. |
|
|
| ### Training Procedure |
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| Preprocessing |
|
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| Images were resized to 1024x1024 pixels |
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| Data augmentation techniques included random flipping, rotation, and contrast adjustments |
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| Training Hyperparameters |
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| Training regime: Mixed precision (fp16) |
| Epochs: 200 |
| Batch size: Auto (-1) |
| Optimizer: Auto |
| Learning rate: 0.01 |
| Momentum: 0.937 |
| Weight decay: 0.0005 |
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| Model size: 450 MB |
|
|
| ### Evaluation |
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| Testing Data, Factors & Metrics |
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| Testing Data |
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| The testing dataset consists of near methane seep imagery from a singular 38 ROV surveys conducted in the Northeast Pacific. |
|
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| ### Metrics |
|
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| mAP50: 78.0% |
| mAP50-95: 56.7% |
| Precision: 72.7% |
| Recall: 75.1% |
|
|
| - **Developed by:** Atticus Carter |
|
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| - **Model type:** YOLOV11 |
|
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| - **License:** MIT |
|
|
| - **Finetuned from model:** FathomNet/MBARI-315k-yolov8 |
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|
