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Hands-On Java Deep Learning for Computer Vision

You're reading from   Hands-On Java Deep Learning for Computer Vision Implement machine learning and neural network methodologies to perform computer vision-related tasks

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781789613964
Length 260 pages
Edition 1st Edition
Languages
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Author (1):
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Klevis Ramo Klevis Ramo
Author Profile Icon Klevis Ramo
Klevis Ramo
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Table of Contents (8) Chapters Close

Preface 1. Introduction to Computer Vision and Training Neural Networks 2. Convolutional Neural Network Architectures FREE CHAPTER 3. Transfer Learning and Deep CNN Architectures 4. Real-Time Object Detection 5. Creating Art with Neural Style Transfer 6. Face Recognition 7. Other Books You May Enjoy

Resolving object localization

In this section, we'll look at an interesting solution to solving the object localization and detection problem. In addition, we'll learn how to label data and modify the prediction layer based on the need of the localization problem. We'll extend this to landmark detection, which should enable us to do fascinating things, such as detect a person smiling.

We're familiar with the image classification problem; we need to determine whether the image contains any of the desired classes, such as whether the object is a car or a person. Apart from image recognition, we also want to find the position of the object or localize the object by marking it with a bounding box:

We'll also extend the idea of localization to multiple objects during the course of this chapter.

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