Image-based Bird Species Identification Using Convolutional Neural Network
Author(s):
Surendhiran Tamilalagan
Keywords:
Biological Neural Network, Convolutional Neural Network, Deoxyribonucleic Acid, ImageNet
Abstract
Due to climate change, many species of plants and animals are at risk. To protect ourselves, we must first identify the species and the special care they need to survive. More than 10,000 species are part of the ecosystem. Identifying a bird species in a photograph is a challenging task as it requires techniques such as image processing and the Convolutional Neural Network (CNN). CNN is a very challenging research site with many problems as small differences in images are seen as completely new images. Along the way, we use a transfer learning method to train our neural model.
Article Details
Unique Paper ID: 154636

Publication Volume & Issue: Volume 8, Issue 11

Page(s): 789 - 797
Article Preview & Download


Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews