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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 13, ISSUE 4, APRIL 2024

Enhancing Bird Species Identification using Deep Learning Models

Mrs. Chaitanya Nukala, Venu Gopal B, Sravan Kumar M, Deepthi RM, Gowtham Reddy K

DOI: 10.17148/IJARCCE.2024.134113

Abstract: Birds are an amazing creature which lead lovely lives along with humans which are one of the signs of Climatic change. Identification of Bird Species is a Complex Task for humans as there are huge number of species of birds are available. Even it is also more difficult for Ornithologists to identify the correct name of a bird related to a particular specie. The main importance of identifying the Bird Species includes various applications such as for monitoring wildlife, for the efforts of conservation from becoming extinct, and for some projects which are related to the birds. As the present existing system uses the Random Forest algorithm to identify the bird species from image. In proposed system tried to utilize deep learning algorithm models in order to enhance the overall accuracy of the project to identifying the bird image. We used EfficientnetB4 algorithm in order to increase the Accuracy.

Keywords: Random Forest, Decision Trees (DT), EfficientnetB4.

How to Cite:

[1] Mrs. Chaitanya Nukala, Venu Gopal B, Sravan Kumar M, Deepthi RM, Gowtham Reddy K, “Enhancing Bird Species Identification using Deep Learning Models,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.134113