---
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