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)
In recent years, there has been a lot of research focused on the difficult job of object detection in computer vision. Customised features and shallow trainable architectures, which are the foundation of traditional object identification techniques, are prone to performance stagnation. Conversely, deep learning techniques have greater strength and are able to learn deeper, semantic characteristics at a higher level. In addition to reviewing the background of deep learning and convolutional neural networks (CNNs), this study offers an overview of object identification frameworks based on deep learning. Typical general object detection structures, performance-enhancing changes, particular detection tasks, and experimental evaluations are also covered. Lastly, it makes encouraging recommendations for further research. To put it briefly, deep learning is an effective instrument for object detection that can outperform more conventional techniques. I strongly advise engineering students who are interested in object detection to read this paper in order to become more knowledgeable about the most recent methods.
Keywords:
object detection, deep learning, convolutional neural network
Cite Article:
"Object Detection using Deep Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.i520-i523, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404862.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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