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Object Detection - Advances Applications and Algorithms - cover

Object Detection - Advances Applications and Algorithms

Fouad Sabry

Maison d'édition: One Billion Knowledgeable

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Synopsis

What is Object Detection
 
The field of computer technology known as object detection is closely associated with computer vision and image processing. Its primary objective is to identify instances of semantic objects belonging to a specific class inside digital images and videos. In the field of object detection, face detection and pedestrian detection are two areas that have received extensive attention. Object detection is useful in a wide variety of computer vision applications, including image retrieval and video surveillance, among others.
 
How you will benefit
 
(I) Insights, and validations about the following topics:
 
Chapter 1: Object detection
 
Chapter 2: Computer vision
 
Chapter 3: Image segmentation
 
Chapter 4: Template matching
 
Chapter 5: Optical braille recognition
 
Chapter 6: Deep learning
 
Chapter 7: Convolutional neural network
 
Chapter 8: DeepDream
 
Chapter 9: Saliency map
 
Chapter 10: Small object detection
 
(II) Answering the public top questions about object detection.
 
(III) Real world examples for the usage of object detection in many fields.
 
Who this book is for
 
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Object Detection.
Disponible depuis: 04/05/2024.
Longueur d'impression: 127 pages.

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