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---
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
This model is designed for object detection in marine environments, specifically targeting benthic megafauna in ROV transects.
## Model Details
### Training Data
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
Preprocessing
Images were resized to 1024x1024 pixels
Data augmentation techniques included random flipping, rotation, and contrast adjustments
Training Hyperparameters
Training regime: Mixed precision (fp16)
Epochs: 200
Batch size: Auto (-1)
Optimizer: Auto
Learning rate: 0.01
Momentum: 0.937
Weight decay: 0.0005
Model size: 450 MB
### Evaluation
Testing Data, Factors & Metrics
Testing Data
The testing dataset consists of near methane seep imagery from a singular 38 ROV surveys conducted in the Northeast Pacific.
### Metrics
mAP50: 78.0%
mAP50-95: 56.7%
Precision: 72.7%
Recall: 75.1%
- **Developed by:** Atticus Carter
- **Model type:** YOLOV11
- **License:** MIT
- **Finetuned from model:** FathomNet/MBARI-315k-yolov8
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