Object Detection with Deep Learning Models - Principles and Applications (Hardcover)

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. Features: A structured overview of deep learning in object detection A diversified collection of applications of object detection using deep neural networks Emphasize agriculture and remote sensing domains Exclusive discussion on moving object detection

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Release date:	November 2022
First published:	2023
Editors:	S Poonkuntran • Rajesh Kumar Dhanraj • Balamurugan Balusamy
Dimensions:	254 x 178mm (L x W)
Format:	Hardcover
Pages:	266
ISBN-13:	978-1-03-207400-9
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Promotions
LSN:	1-03-207400-0
Barcode:	9781032074009

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