Bird Species Image Identification using Deep Learning

Registration ID: IJNRD_189445

Published ID: IJNRD2305758

DOI: Click Here to Get

Animesh Tade , Atharva kulkarni , Suyog Sulke , Sameer Shah , , Dr. Aparna Pande

Deep Learning, InceptionV3, Bird Identification, CNN, ImageNet

These days, many inexperienced bird watchers have trouble remembering and identifying all the various bird species. Additionally, in order to save and care for diverse bird species, the general public and newly employed rescue team members lack the ability to do so. They have to go through a difficult process to locate large publications like "Birds of the Indian Subcontinent." In this study, we evaluate a deep learning-based AI model that is good at identifying birds from photographs and provide the results. One of the top Deep Learning techniques, Transfer Learning, is used in the study's Simple Web App to recognise photographs. To become more familiar with Google's InceptionV3 model,1000 photos with annotations for each of the 325 different bird species in the dataset.The article presents empirical studies that evaluate different approaches and yield insightful results. It suggests multiple possibilities for future research in the areas of object recognition and neural network- based machine learning.

Published Paper   E-Certificate

Animesh Tade, Atharva kulkarni, Suyog Sulke, Sameer Shah, & , Dr. Aparna Pande (May-2023). Bird Species Image Identification using Deep Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), h435-h439. https://ijnrd.org/papers/IJNRD2305758.pdf

Volume 8 Issue 5, May-2023

Pages : h435-h439

Paper Reg. ID: IJNRD_189445

Published Paper Id: IJNRD2305758

Downloads: 000121978

Research Area: Computer Engineering 

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305758.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305758

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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