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1
Introduction
2
Presentation Overview
3
Microcrystals
4
Segmentation
5
Evaluation
6
Closing remarks
7
Introduction to Harriet Dawson
8
Machine Learning
9
Transfer Learning
10
Image Classification
11
Dataset
12
Architecture
13
Fine Tuning
14
Results
15
Accuracy
16
Classification Speed
17
Evaluation Metrics
18
Conclusion
19
Chat
20
Network Structure
21
Freetrade Model
Description:
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.

The Carbonate Forum 2021 - Artificial Intelligence in Carbonates

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