Catbreedsnet: An Android Application for Cat Breed Classification Using Convolutional Neural Networks

There are so many cat races in the world. Ignorance recognizing breeds will be dangerous if being kept is affected by a disease, which allows mishandling of kept. In addition, have different foods from one race to another. The problem that caretaker cannot easily recognize breed. Therefore, technology needs help treat cats appropriately. this study, we proposed Machine Learning approach breeds. This study aims identify breed images then deployed on an Android smartphone. It was tested with data 13 races. classification method applied uses Convolutional Neural Network (CNN) algorithm using transfer learning. base models MobilenetV2, VGG16, and InceptionV3. results several through experimental scenarios produced best model accuracy 82% MobilenetV2. embedded application operating system. Then named Catbreednet.