Published Paper Details:

Convolutional Neural Network has lately achieved exceptional success in the field of overall picture classification. Pretrained Convolutional Neural Networks (CNN) have recently been used to provide a far better representation of an input image. One of the top pretrained CNN networks, Inception V3 [1], is frequently utilised in deep learning as a pretrained CNN model. In this article, we suggest a deep learning model that can recognise specific birds from an input image. In order to encode the images, we also frequently use the pretrained Inception V3 model as well as pretrained CNN networks with base model. Birds are typically seen in a variety of situations and can be seen from a human perspective in a variety of sizes, shapes, and colours. Experiments will be performed utilising the entity of various dimensions, cast, and celerity to study recognition performance. We achieved a top-5 accuracy of 97.98% on our classifications.