A Deep Learning model utilizing Siamese Networks and CNN for face verification purpose
SBU Computer Vision Fundamentals final project (Fall 2022)
Two versions were done, The first Version uses LFW dataset, paired manually using random samplin.
Images are resized into 112x112x3 dimensions and a custom CNN architecture was used in each of the Siamese Network Pairs
The second version utilizes an architecture similiar to VGG-16, with the exception of input images being 60x60x3 Dataset is LFW pairs provided by Scikit-Learn