This project builds a Convolutional Neural Network (CNN) to classify landmarks from images. It includes developing a CNN from scratch and enhancing performance with transfer learning (achieving 75% accuracy using ResNet18).
pytorch machinelearning deeplearning computervision imageclassification transferlearning landmarkdetection convolutionalneuralnetworks
-
Updated
Aug 31, 2024 - HTML