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Computer Vision Projects with OpenCV and Python 3

You're reading from   Computer Vision Projects with OpenCV and Python 3 Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789954555
Length 182 pages
Edition 1st Edition
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Author (1):
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Matthew Rever Matthew Rever
Author Profile Icon Matthew Rever
Matthew Rever
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Table of Contents (9) Chapters Close

Preface 1. Setting Up an Anaconda Environment FREE CHAPTER 2. Image Captioning with TensorFlow 3. Reading License Plates with OpenCV 4. Human Pose Estimation with TensorFlow 5. Handwritten Digit Recognition with scikit-learn and TensorFlow 6. Facial Feature Tracking and Classification with dlib 7. Deep Learning Image Classification with TensorFlow 8. Other Books You May Enjoy

Introduction to image captioning

Image captioning is a process in which textual description is generated based on an image. To better understand image captioning, we need to first differentiate it from image classification.

Difference between image classification and image captioning

Image classification is a relatively simple process that only tells us what is in an image. For example, if there is a boy on a bike, image classification will not give us a description; it will just provide the result as boy or bike. Image classification can tell us whether there is a woman or a dog in the image, or an action, such as snowboarding. This is not a desirable result as there is no description of what exactly is going on in the image...

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