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portada Object Detection With Deep Learning Models: Principles and Applications
Type
Physical Book
Illustrated by
Publisher
Author
Year
2022
Language
English
Pages
266
Format
Hardcover
Dimensions
25.4 x 17.8 x 1.8 cm
Weight
0.70 kg.
ISBN13
9781032074009
Edition No.
1
Categories

Object Detection With Deep Learning Models: Principles and Applications

Balamurugan Balusamy (Illustrated by) · S. Poonkuntran (Illustrated by) · Rajesh Kumar Dhanraj (Illustrated by) · CRC Press · Hardcover

Object Detection With Deep Learning Models: Principles and Applications - Poonkuntran, S. ; Kumar Dhanraj, Rajesh ; Balusamy, Balamurugan

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Synopsis "Object Detection With Deep Learning Models: Principles and Applications "

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

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