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Deep Learning for Computer Vision

You're reading from   Deep Learning for Computer Vision Expert techniques to train advanced neural networks using TensorFlow and Keras

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788295628
Length 310 pages
Edition 1st Edition
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Author (1):
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Rajalingappaa Shanmugamani Rajalingappaa Shanmugamani
Author Profile Icon Rajalingappaa Shanmugamani
Rajalingappaa Shanmugamani
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Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Image Classification 3. Image Retrieval 4. Object Detection 5. Semantic Segmentation 6. Similarity Learning 7. Image Captioning 8. Generative Models 9. Video Classification 10. Deployment 11. Other Books You May Enjoy

Semantic Segmentation

In this chapter, we will learn about various semantic segmentation techniques and train models for the same. Segmentation is a pixel-wise classification task. The ideas to solve segmentation problem is an extension to object detection problems. Segmentation is highly useful in applications such medical and satellite image understanding. 

The following topics will be covered in the chapter:

  • Learning the difference between semantic segmentation and instance segmentation
  • Segmentation datasets and metrics 
  • Algorithms for semantic segmentation
  • Application of segmentation to medical and satellite images
  • Algorithms for instance segmentation
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