In the Assignment 1 folder, there is a notebook whose objective is to develop a computer vision system that, using only traditional computer vision techniques, is able to identify certain books from a single image of a bookshelf, given their reference images.

In the Assignment 2 folder, there is a notebook whose objective is to implement a NN that classifies images (with pythorch) of 37 breeds of cats and dogs from the Oxford-IIIT-Pet dataset.
The assignment is divided into four parts:

• implementation from scratch of our own neural network,
  • incorporates selected elements from VGG, Inception, and ResNet
  • 75% test accuracy and estimated Total Size = 112.96MB
• ablation study,
• fine-tune ResNet-18,
• error analysis.