<no title> — Computer Vision for Marine Applications

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Preface

Welcome to Computer Vision Across the Marine Sciences
Getting Started
License
Acknowledgements

Chapter 1 - Introduction to Marine Imaging

1. Marine Imaging
2. Imagery Fundamentals
3. Ocean Image Data
4. Artificial Intelligence in Marine Science
5. Transfer Learning for Marine Computer Vision
6. Model Interpretability for Marine Computer Vision

Chapter 2 - Introduction to Computer Vision

7. Image Annotation for Computer Vision
8. Manual Image Annotation
9. Exploring Image Data With ImShow
10. Image Manipulation in Python with PIL and OpenCV
11. Creating and Augmenting Datasets
12. Understanding CV Metrics and Graphs

Chapter 3 - Computer Vision Development

13. Image Classification with Keras
14. Training YOLO Models: A Guide to Understanding Tasks and Modes
15. Training and Deploying Object Detection with YOLO
16. Ice Seal Classification using YOLOv11
17. Localizing FathomNet to a New Dataset Using YOLOv11
18. Keypoint Detection With YOLO
19. Instance Segmentation with YOLO
20. K-means Segmentation
21. Image Super-Resolution and Enhancement with SRGAN in TensorFlow

Chapter 4 - Synthesis Project

22. Finding Datasets for Computer Vision Projects
23. Joining the OceanCV Hugging Face Organization and Uploading Models
24. Writing a Model Card
25. Creating Streamlit Applications for YOLOv11 Models

Appendices

Bibliography
Survey Results
The Math Behind Convolutional Neural Networks (CNNs)

Repository
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Contents

../_images/WormTower.jpg — Fig. 1 Credit: UW/NSF-OOI/WHOI; J2-1666, V24.#

../_images/OctopusCrawling.jpg — Fig. 2 Credit: UW/NSF-OOI/WHOI; J2-1609; V24.#

../_images/SeapigParty.jpg — Fig. 3 Credit: UW/NSF-OOI/WHOI; V21.#

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1. Marine Imaging

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By Ada Carter & Katie Bigham

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