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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Bird Classification based on Image or Audio using Deep Learning |
| Authors Name: | Mr. Shreejith K B , Maanikya , Poojary Dheeraj Kumar , Rachana Nayak , Rakshit Lingappa Poojari |
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IJNRD_193115
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| Published Paper Id: | IJNRD2304714 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | Birds are a vital group of animals that ecologists monitor using autonomous recording units as a crucial indicator of the health of an environment. Bird-watching is a popular hobby which offers relaxation in everyday life. Innumerable people visit bird sanctuaries to observe different species. Nowadays some bird species are found rarely and if found, classification of bird species prediction of the same is difficult. Numerous bird species have become extinct because of anthropogenic activities and climate change. Habitat destruction is a significant threat to biodiversity worldwide. Thus, monitoring the distribution of species and identifying the elements that make up the biodiversity of a region are essential for designing conservation stratagems. Bird classification has been an important task in the field of ornithology and wildlife conservation. With deep learning advancements, image and audio-based bird classification methods have gained significant attention. We employ convolutional neural networks (CNNs) to learn discriminative features from bird images and audio. We use a large dataset of bird images to train the CNN model. This model is capable of automatically extracting high-level features from images, audio and classifying birds into different species with high accuracy based on deep learning techniques using either images or audio data. |
| Keywords: | Bird Classification, Image Based, Audio Based, Biodiversity, CNN |
| Cite Article: | "Bird Classification based on Image or Audio using Deep Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.h95-h100, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304714.pdf |
| Downloads: | 000118766 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2304714 Registration ID: 193115 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: h95-h100 Country: Mangalore, Karnataka, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304714 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304714 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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