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With the emergence of big data phenomenon, image recognition is now a good use case of deep learning techniques to reduce the effort of human in various image classification tasks. In this study, image2reciepe tool was developed using different deep learning models to perform an image classification task of Malaysian fish delicacies. A CNN model architecture is proposed. Two transfer learning models with Xception and VGG 16 as the base model, respectively, were implemented and evaluated. The best accuracy was achieved by transfer learning model based on Xception in the classification task of the fish dishes.

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Image2Recipe Classifier: Malaysia Fish Delicacies Image Classification Using Deep Learning Methods

  • 会议论文

  • 发表日期：

    2026年

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  • Valliappan Raman,
  • Putra Sumari,
  • M. Prabhavathy,
  • M. Karthiga

摘要

With the emergence of big data phenomenon, image recognition is now a good use case of deep learning techniques to reduce the effort of human in various image classification tasks. In this study, image2reciepe tool was developed using different deep learning models to perform an image classification task of Malaysian fish delicacies. A CNN model architecture is proposed. Two transfer learning models with Xception and VGG 16 as the base model, respectively, were implemented and evaluated. The best accuracy was achieved by transfer learning model based on Xception in the classification task of the fish dishes.