lasifikasi Citra Daging Menggunakan DeepLearningdengan Optimisasi Hard Voting

lasifikasi Citra Daging Menggunakan DeepLearningdengan Optimisasi Hard Voting

Deep Leaning, Ensemble Learning, Image Recognition, Transfer Learning

Meat is a staple food for some Indonesian people, apart from the taste, meat also contains vitamins and minerals that are good for the human body, however, not all meat can be consumed by the Indonesian people. the texture and color of beef, pork and mutton have similarities and tend tobe similar, therefore a system is needed to recognize the three types of meat. In this study, the authors use various types of Deep Learning architecture such as Resnet-50, VGG-16, VGG-19 and Densenet-121 with Hard Voting to improve the performance of Deep Learning in recognizing the three types of meat. The results show that Resnet-50 with Hard Voting can outperform Deep Learning Resnet-50, VGG-16, VGG-19 and Densenet-121-with f1 score 98.88%, precision 98.89% and recall 98.88%. in image classification of pork, beef and mutton

Made Bramasta Vikana Putra1, I Putu Agung Bayupati2, Dewa Made Sri Arsa

https://jurnal.iaii.or.id/index.php/RESTI/issue/view/24

Universitas Udayana

20 agustus 2021

Fajar Bagus W

PDF

Indonesia

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