Balinese Carving Ornaments Classification Using InceptionResnetV2 Architecture
2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)(2022)
摘要
All types of Balinese carving ornaments have special categories and names, but not many people know and understand them. This research conducts a study to build a classification system and automatic identification of types of Balinese carving ornaments based on digital images using deep learning-based methods, namely InceptionResnetV2 architecture. This architecture is tested as a comparison with the previous reported research results using feature extraction-based methods and with classifiers based on neural networks and multilayer perceptrons. The experimental results show that the best accuracy values obtained using the InceptionResnetV2 architecture is 76.66%. This result will be very useful for the development of further methods and systems.
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关键词
Balinese carving ornaments,classification,image processing,deep learning
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