Manuscript Number : SHISRRJ247298

Image-based Bird Species Identification Using Machine Learning

Authors(2) :-Se. Suresh, N. Bhumika

Birds are fascinating creatures that lead lovely lives alongside humans. Birds are one indicator of climate change. In every trophic level, Birds range from top predators to intermediate consumers.are important. Currently, many of these bird species are in danger of going extinct. Of course, every bird isunique Regarding its qualities in addition to its external characteristics, such as size, shape, beak, feathers, profile, and others. Asopposed Bird classification using audio photographs are particularly effective in recognising species. Visual classification is by far the most comfortable way for people to recognise birds. The obtained bird dataset is among the key components of the image categorization. After obtaining the characteristics from the input image, classification is carried out. The Implicit Forest approach is applied to regression as well as classification.

Authors and Affiliations

Se. Suresh
Assistant Professor, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India
N. Bhumika
Post Graduate, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India

ImageNet, Convolutional Neural Network, Deoxyribonucleic Acid, and Biological Neural Network

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Publication Details

Published in : Volume 7 | Issue 2 | March-April 2024
Date of Publication : 2024-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 531-536
Manuscript Number : SHISRRJ247298
Publisher : Shauryam Research Institute

ISSN : 2581-6306

Cite This Article :

Se. Suresh, N. Bhumika, "Image-based Bird Species Identification Using Machine Learning", Shodhshauryam, International Scientific Refereed Research Journal (SHISRRJ), ISSN : 2581-6306, Volume 7, Issue 2, pp.531-536, March-April.2024
URL : https://shisrrj.com/SHISRRJ247298

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