Pigeon Breed Classification with Convolutional Neural Network Using Supervised Learning Method

Abstract

“Pigeon Breed Classification with Convolutional Neural Network using Supervised Learning Method" is a research project based on the fundamentals of Computer Vision and the Deep Learning field of Computer Science. This project has been inspired by the novel research works done by renowned scholars who are working to solve different image classification problems. The system we propose is a Deep Learning model that has been trained on a large dataset of different pigeon breed images. This system can identify the pigeon breeds when images of those breeds are shown to it. It then classifies those images and gives the name of the breeds as result. This system we created can be scaled to small systems such as smartphones and large systems such as Computer Vision models on the cloud. Thus, both the end-users like pigeon buyers and the researchers conducting state of the art research works can use this system to fulfill their purposes. Moreover, this system can be used as a baseline threshold in classification tasks and so future works on such image classification problems can be compared with the performance of this system. We have studied hard and applied different research methods and knowledge to bring this project to life.