Application of computer vision technology to seismic facies classification

Application of computer vision technology to seismic facies classification

This project involves applying computer vision technology to seismic interpretation

The code for this project is available here

The aim of this project is to improve the acccuracy of Reinaldo et al (2019). Please feel free to contribute

SSD Mobilenet is the choice architecture for this project. The following methods will be attempted to improve the accuracy of the model

• Using exponential moving average (EMA) from tensorflow_addons
• Label smoothing
• Using Stochastic Gradient Descent with warm restarts.
• Tweaking regularization parameter
• Data augmentation for very similar images
• trying the MobileNetV3
• Jittering