Explore cutting-edge applications of artificial intelligence in carbonate geology through this 41-minute conference talk from The Carbonate Forum 2021. Delve into two key presentations: Issac Jayachandran's evaluation of microcrystal segmentation algorithms and Harriet Dawson's comparison of CNN architectures for carbonate core classification. Learn about advanced techniques in image processing, machine learning, and transfer learning applied to geological datasets. Gain insights into the accuracy, speed, and evaluation metrics of various AI models used in carbonate analysis. Understand the potential of AI to revolutionize carbonate studies, from microcrystal segmentation to core classification, and discover how these technologies are shaping the future of sedimentary geology research.
Overview
Syllabus
Introduction
Presentation Overview
Microcrystals
Segmentation
Evaluation
Closing remarks
Introduction to Harriet Dawson
Machine Learning
Transfer Learning
Image Classification
Dataset
Architecture
Fine Tuning
Results
Accuracy
Classification Speed
Evaluation Metrics
Conclusion
Chat
Network Structure
Freetrade Model
Taught by
Seds Online
