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Python Image Processing Cookbook

You're reading from   Python Image Processing Cookbook Over 60 recipes to help you perform complex image processing and computer vision tasks with ease

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781789537147
Length 438 pages
Edition 1st Edition
Languages
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Author (1):
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Sandipan Dey Sandipan Dey
Author Profile Icon Sandipan Dey
Sandipan Dey
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Toc

Table of Contents (11) Chapters Close

Preface 1. Image Manipulation and Transformation 2. Image Enhancement FREE CHAPTER 3. Image Restoration 4. Binary Image Processing 5. Image Registration 6. Image Segmentation 7. Image Classification 8. Object Detection in Images 9. Face Recognition, Image Captioning, and More 10. Other Books You May Enjoy

Object detection with Yolo V3

The following screenshot (figure copyright: Ros Girshick) shows the improvement in mean average precision over years for object detection on the images from the PASCAL VOC image dataset. As you can see, up to 2012, the performance for object detection started to stagnate and slow down a little bit. In 2013, the deep learning approaches came around and performance received a boost from that time onward, getting better and better over time:

Algorithms such as Region-based-CNN (for example, Faster/Mask R-CNN) and YOLO have been developed to improve the precision of object detection drastically using deep learning. In this recipe, we will discuss a couple of popular fully convolutional network models for object detection, one of them being YOLO (You Only Look Once). This provides a high accuracy rate compared to other algorithms and runs in real time...

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