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The following paper is a comprehensive overview of real time object detection using the YOLO framework. YOLO has become a lot popular for its ability to obtain high speed while having high accuracy, making it suitable for real-time applications. The paper explores various versions of YOLO and examines their advancements, strengths, and limitations in real-time object detection scenarios in it.
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Cite Article:
"Real-Time Vision: Unleashing YOLO for Instant Object Recognition", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 1, page no.183 - 190, January-2024, Available :http://www.ijrti.org/papers/IJRTI2401032.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator