This project focuses on the creation of a neural network for image classification of European speed limit signs using the German Traffic Sign Recognition Benchmark. The neural network was created using the Pytorch library, and utilizes techniques such as Synthetic Minority Oversampling Technique (SMOTE) and K-fold Cross Valdiation.
timothykwong / gtsrb-classification Goto Github PK
View Code? Open in Web Editor NEWA neural network for image classification trained/tested on the GTSRB dataset.