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