Landmark-Classification-using-PyTorch

Overview

This project involves classifying landmark images using a ResNet model enhanced through transfer learning. The dataset includes various landmark images from Google's dataset.

Features

• Utilizes a pre-trained ResNet model.
• Implements transfer learning techniques to fine-tune the model for better accuracy.
• Designed to handle Google's landmark dataset.

Files

• app.ipynb - Main application notebook.
• cnn_from_scratch.ipynb - Notebook for constructing a CNN model from scratch.
• transfer_learning.ipynb - Notebook illustrating transfer learning on the ResNet model.