Paper Title

Object Detection using Python

Article Identifiers

Registration ID: IJNRD_184442

Published ID: IJNRD2212063

DOI: Click Here to Get

Authors

Sarvesh S. Hadole , Yash M. Gupta , Gyaneshwari K. Patil , Snehal S. Gupta , Sangram R. Gunjal

Keywords

Convolutional Neural Network, visual comprehension, etc.

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 .

How To Cite

"Object Detection using Python", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 12, page no.a447-a450, December-2022, Available :https://ijnrd.org/papers/IJNRD2212063.pdf

Issue

Volume 7 Issue 12, December-2022

Pages : a447-a450

Other Publication Details

Paper Reg. ID: IJNRD_184442

Published Paper Id: IJNRD2212063

Downloads: 000121180

Research Area: Automation & Control Power System 

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2212063.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2212063

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High 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) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Current Issue: Volume 10 | Issue 8

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