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)
A well-liked method for automatically identifying and categorising animal faces in pictures or videos is animal face identification using YOLOv5. A deep convolutional neural network is used by the cuttingedge object detection system YOLOv5 to recognise objects with great accuracy in real-time. In this paper, we give a general introduction of the YOLOv5 algorithm and how it can be used to identify animal faces. We also go over the dataset used to train the model, the image preprocessing methods utilised, and the hyperparameters selected for training. On a test set of photos of animals, we assess the performance of the YOLOv5 model and present the precision, recall, and F1-score metrics. The outcomes show that YOLOv5 can recognise and classify animal faces with a high level of accuracy.
Keywords:
REAL TIME ANIMAL FACE DETECTION
Cite Article:
"REAL TIME ANIMAL FACE DETECTION", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.h1-h5, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305701.pdf
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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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