Welcome to the AI4ME Cookbook

Welcome to the AI4ME Cookbook#

AI for Marine Ecosystems (AI4ME)#

Useful information and code to help open science AI/ML efforts for marine ecosystems

Workshop | Part 1#

Workshop Goals:

  • Equip users with a shared understanding of AI/ML(object detection) workflows and fundamentals

  • Define how annotations fit into the model lifecycle

  • Build and train basic models using marine datasets.

  • Explore training results and graphs.

Draft Agenda#

1. AI/ML Basics / Overview#

  • Quick primer on object detection pipeline (data → annotation → model training → deployment)

  • AI/ML Project Lifecycles

  • Where to find data, resouces, and so on?

2. Annotation Strategies & Tools#

  • Role of annotations in model performance (importance of quality & consistency)

  • Best practices for efficient annotation workflow

  • Review tools(CVAT, Label Studio, Viame) and discuss pros/cons

  • 🛠️ Exercise - Annotation

3. Hands On | AI/ML Development Exercises & Training#

  • Exploratory data analysis(EDA)

  • 🛠️ Exercise - EDA

  • Dataset Prep

  • Model Training

  • 🛠️ Exercise - Model Training

4. Model Eval, Deployment & Management#

  • Model Evaluation

  • Model Deployment

  • AI4ME API

  • Model Management

5. Q&A / Roundtable#

  • Q&A

  • Resouces

  • Next Steps

Glossary#

Contents