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Deep Learning for Computer Vision

You're reading from  Deep Learning for Computer Vision

Product type Book
Published in Jan 2018
Publisher Packt
ISBN-13 9781788295628
Pages 310 pages
Edition 1st Edition
Languages
Author (1):
Rajalingappaa Shanmugamani Rajalingappaa Shanmugamani
Profile icon Rajalingappaa Shanmugamani

Table of Contents (17) Chapters

Title Page
Copyright and Credits
Packt Upsell
Foreword
Contributors
Preface
1. Getting Started 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 1. 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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