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Object detection with deep learning modelsprinciples and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Object detection with deep learning modelsedited by S Poonkuntran, Rajesh Kumar Dhanraj, Balamurugan Balusamy.
Reminder of title:	principles and applications /
other author:	Poonkuntran, S.
Published:	Boca Raton, FL :CRC Press,2023.
Description:	1 online resource.
Subject:	Computer vision.
Online resource:	https://www.taylorfrancis.com/books/9781003206736
ISBN:	9781003206736$q(electronic bk.)

Object detection with deep learning modelsprinciples and applications /
Object detection with deep learning modelsprinciples and applications /[electronic resource] :edited by S Poonkuntran, Rajesh Kumar Dhanraj, Balamurugan Balusamy. - 1st ed. - Boca Raton, FL :CRC Press,2023. - 1 online resource.

Includes bibliographical references and index.

"Object Detection with Deep Learning Models discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks"--

ISBN: 9781003206736$q(electronic bk.)

LCCN: 2022015568Subjects--Topical Terms:

200113
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.3/7

Object detection with deep learning modelsprinciples and applications /
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245 0 0 $a Object detection with deep learning models $h [electronic resource] : $b principles and applications / $c edited by S Poonkuntran, Rajesh Kumar Dhanraj, Balamurugan Balusamy.
250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, $c 2023.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
520 $a "Object Detection with Deep Learning Models discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks"-- $c Provided by publisher.
588 $a Description based on print version record and CIP data provided by publisher.
650 0 $a Computer vision. $3 200113
650 0 $a Pattern recognition systems. $3 183725
650 0 $a Deep learning (Machine learning) $3 913129
700 1 $a Poonkuntran, S. $3 976489
700 1 $a Dhanraj, Rajesh Kumar. $3 976490
700 1 $a Balusamy, Balamurugan. $3 886980
856 4 0 $u https://www.taylorfrancis.com/books/9781003206736