This project utilizes several machine learning algorithms to performs comparisons between a base image set used for training and a comparison image. AUC and MSE will be used as the primary metrics for measuring comparison.
The following Deep Learning methods are utilized for binary classification:
- CNN
- Transfer Learning with ResNet 50 and EfficientNet b0
- ViT - Vision Transformer
- Binary Classification with AutoEncoder