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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

Understanding the problem and datasets

The process of automatically generating captions for images is a key deep learning task, as it combines the two worlds of language and vision. The uniqueness of the problem makes it one of the primary problems in computer vision. A deep learning model for image captioning should be able to identify the objects present in the image and also generate text in natural language expressing the relationship between the objects and actions. There are few datasets for this problem. The most famous of the datasets is an extension of the COCO dataset covered in object detection in Chapter 4, Object Detection.

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