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Image Classification Using Python and Techniques of Computer Vision and Machine Learning
| AUTHOR | Magic, Mark; Magic, John |
| PUBLISHER | Independently Published (01/29/2019) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
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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Product Format
Product Details
ISBN-13:
9781796607260
ISBN-10:
1796607266
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
116
Carton Quantity:
68
Product Dimensions:
6.00 x 0.24 x 9.00 inches
Weight:
0.36 pound(s)
Country of Origin:
US
Subject Information
BISAC Categories
Computers | Artificial Intelligence - Computer Vision & Pattern Recognit
Descriptions, Reviews, Etc.
publisher marketing
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.
Show More