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--- |
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license: mit |
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datasets: |
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- OceanCV/EcotypeTransect |
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language: |
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- en |
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base_model: |
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- FathomNet/MBARI-315k-yolov8 |
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pipeline_tag: object-detection |
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tags: |
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- biology |
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- climate |
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--- |
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# 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. |
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### 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) |
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Epochs: 200 |
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Batch size: Auto (-1) |
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Optimizer: Auto |
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Learning rate: 0.01 |
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Momentum: 0.937 |
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Weight decay: 0.0005 |
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Model size: 450 MB |
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### 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% |
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mAP50-95: 56.7% |
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Precision: 72.7% |
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Recall: 75.1% |
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- **Developed by:** Atticus Carter |
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- **Model type:** YOLOV11 |
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- **License:** MIT |
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- **Finetuned from model:** FathomNet/MBARI-315k-yolov8 |
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