Book Image

Deep Learning for Computer Vision

By : Rajalingappaa Shanmugamani
Book Image

Deep Learning for Computer Vision

By: Rajalingappaa Shanmugamani

Overview of this book

Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous applications in the areas of robotics, automation, and so on. This book will also show you, with practical examples, how to develop Computer Vision applications by leveraging the power of deep learning. In this book, you will learn different techniques related to object classification, object detection, image segmentation, captioning, image generation, face analysis, and more. You will also explore their applications using popular Python libraries such as TensorFlow and Keras. This book will help you master state-of-the-art, deep learning algorithms and their implementation.
Table of Contents (17 chapters)
Title Page
Copyright and Credits
Packt Upsell
Foreword
Contributors
Preface

Chapter 4. Object Detection

Object detection is the act of finding the location of an object in an image. In this chapter, we will learn the techniques of object detection and implement pedestrian detection by understanding the following topics:

  • Basics and the difference between localization and detection
  • Various datasets and their descriptions
  • Algorithms used for object localization and detection
  • TensorFlow API for object detection
  • Training new object detection models
  • Pedestrian detection on a moving car with YOLO algorithm