Bilgilendirme: Kurulum ve veri kapsamındaki çalışmalar devam etmektedir. Göstereceğiniz anlayış için teşekkür ederiz.

Browsing by Author "Senlik, R."

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Thumbnail Image
    Conference Object
    Transfer Learning Approach for Classification of Beef Meat Regions with CNN
    (Institute of Electrical and Electronics Engineers Inc., 2023) Alp, S.; Senlik, R.
    Accurate identification of beef components is crucial for the meat industry, encompassing consumer confidence, food safety, and quality control. This study addresses the challenge by developing a robust model for beef component classification using RGB images obtained from smartphones. A diverse dataset was collected outside a controlled laboratory environment, closely resembling real-world conditions. Three CNN-based models, EfficientNetV2S, ResNet101, and VGG16, were fine-tuned and evaluated on the dataset. The results demonstrated the effectiveness of the models in accurately classifying beef components. EfficientNetV2S achieved the highest performance, with precision, recall, and F1-score values of 0.92 for all classes. This research bridges the gap between non-destructive detection technologies and end users, providing a practical and reliable solution for beef component identification in various applications. © 2023 IEEE.