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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: | Object Detection using Python |
| Authors Name: | Sarvesh S. Hadole , Yash M. Gupta , Gyaneshwari K. Patil , Snehal S. Gupta , Sangram R. Gunjal |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_184442
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| Published Paper Id: | IJNRD2212063 |
| Published In: | Volume 7 Issue 12, December-2022 |
| DOI: | |
| Abstract: | Considering how closely object detection relates to video analysis and visual comprehension, it has received a lot of study interest lately. standard object detection the foundation of techniques is handcrafted details and shallow trainable architectures. By creating, they easily experience performance stagnation. Intricates ensembles that blend numerous lower-grade image characteristics with effective and noteworthy context from scene analysis and Object detection classifiers. Because deep learning is developing so quickly, more strong technologies that can learn high-level, semantic new features are added to solve the issues already present. In conventional buildings. These models exhibit various behavior network design, training methods, and optimization perform, etc. This paper is exploration of object detection frameworks based on deep learning . We have mentioned the history of deep learning and its tools i.e the Convolutional Neural Network aka CNN before our review . Again there is a concentration on object detection architectures that are generic with some changes to enhance its detection performance. There’s also a brief overview salient item detection, face detection, etc. so as to get an idea of every possible characteristics as each detection exhibit different characteristics. Also have mentioned some scientific experimental studies to contrast different approaches so as to have insightful results. In order to improvise on future work in object identification and neural network based learning systems, many promising directions and tasks have been provided . |
| Keywords: | Convolutional Neural Network, visual comprehension, etc. |
| Cite Article: | "Object Detection using Python", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 12, page no.a447-a450, December-2022, Available :http://www.ijnrd.org/papers/IJNRD2212063.pdf |
| Downloads: | 000118751 |
| 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:IJNRD2212063 Registration ID: 184442 Published In: Volume 7 Issue 12, December-2022 DOI (Digital Object Identifier): Page No: a447-a450 Country: Pune, Maharashtra, India Research Area: Automation & Control Power System Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2212063 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2212063 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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