TEAMER: Field Demonstration of MarineSitu Marine Energy Monitoring Tools

This submission contains data collected during a four-month field demonstration (July-October 2024) of MarineSitu's Adaptable Monitoring Package (AMP) at the Pacific Northwest National Laboratory (PNNL) Marine and Coastal Research Laboratory (MCRL) in Sequim, WA. The project evaluated the platform's survivability in a tidal channel and the iterative development methodology for real-time AI-driven environmental monitoring.

The dataset includes:

Optical Imagery: High-resolution greyscale images from modular and integrated camera systems capturing confirmed or suspected marine life interactions.

Acoustic Imagery: Imaging sonar data from a Tritech Gemini 1200ik dual-frequency system.

Machine Learning Artifacts: Object detection model weights (.pt) for three iterations each of optical and acoustic models, validation datasets with manually labeled annotations (.txt), and model-generated detection predictions (.json).

Analysis Software: Python-based tools for model performance validation (Precision, Recall, mAP50, false positive rate analysis) and synchronized multi-instrument data review.

Prerequisites/Assumptions: Use of the included Python scripts requires a Python 3.10+ environment. Users should refer to the provided README.md files within the "Data Viewer" and "Model Validation" directories for installation and usage instructions.