Classify popular indian car images
The aim of the project was to create a deep learning model capable of classifying some of the popular Indian cars like Swift, Bolero, Verna etc.
Images were obtained by scrapping google and approximately 100 images were obtained for each category. Used transfer learning with resnet34 and resnet50 architecture using fastai.
The web app was created using Flask and deployed to Google App Engine.