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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.
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.
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