Klasifikasi Citra Daging Menggunakan Deep Learning dengan Optimisasi
Hard Voting

Klasifikasi Citra Daging Menggunakan Deep Learning dengan 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 to be 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

Universitas Udayana

Fajar bagus W

PDF

Indonesia

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