Dog Breed Identification Using Convolutional Neural Networks on Android

Abstract

Identifying the breed of a dog, is a challenging image classification problem. In this paper, we implement an android application that identifies the breed of a dog via image analysis, using a Convolutional Neural Network (CNN) and transfer learning model. The android application lets the user click or upload a picture of a dog. It then pre-processes the image and extracts the features required for testing. Prediction of dog breed is done using CNN and transfer learning. We have used Stanford’s standard dog dataset for training the model and achieved an accuracy of 94% on the testing data.