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.
