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Object detection with deep learning models = principles and applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Object detection with deep learning models/ edited 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

Object detection with deep learning models = principles 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

LCCN: 2022015568Subjects--Topical Terms:

561800
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.3/7

Object detection with deep learning models = principles 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 561800
650 0 $a Pattern recognition systems. $3 557384
650 0 $a Deep learning (Machine learning) $3 1381171
700 1 $a Poonkuntran, S. $3 1419402
700 1 $a Dhanraj, Rajesh Kumar. $3 1419403
700 1 $a Balusamy, Balamurugan. $e editor. $3 1351820
856 4 0 $u https://www.taylorfrancis.com/books/9781003206736