Image Classification Using Python and Techniques of Computer Vision and Machine Learning: 1 - Brossura

Magic, Dr. Mark

 
9781796607260: Image Classification Using Python and Techniques of Computer Vision and Machine Learning: 1

Sinossi

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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