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portada Image Classification Using Python and Techniques of Computer Vision and Machine Learning
Type
Physical Book
Illustrated by
Language
English
Pages
116
Format
Paperback
Dimensions
22.9 x 15.2 x 0.6 cm
Weight
0.16 kg.
ISBN13
9781796607260

Image Classification Using Python and Techniques of Computer Vision and Machine Learning

Mark Magic (Author) · John Magic (Illustrated by) · Independently Published · Paperback

Image Classification Using Python and Techniques of Computer Vision and Machine Learning - Magic, John ; Magic, Mark

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Synopsis "Image Classification Using Python and Techniques of Computer Vision and Machine Learning"

This book implemented six different algorithms to classify images with prediction accuracy as the primary criterion and time consumption as the secondary one. The accuracies varied between about 30% and 90%, while the time consumptions varied from several seconds to more than one hour. Considering both criteria, the Pre-Trained AlexNet Features Representation plus a Classifier, such as the k-Nearest Neighbors (KNN) and the Support Vector Machines (SVM), was concluded as the best algorithm.

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