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- W4312480582 abstract "As image classification is the process of classifying and labeling groups in pixels or vector by image using certain rules. In today’s world, the convolutional neural network (CNN) is the most widely utilized technology for image separation. The image for labeling and separation in this part comes from an Indian cuisine database that employs a number of transfer learning techniques. Because food is such a vital component of human life, providing us with essential nutrients for growth and energy, it is imperative that everyone maintain track of their eating habits, as they can be harmful to the body if ignored. A healthy lifestyle is exemplified by the food classification. In this paper, pre-trained models are employed instead of starting from scratch, which saves time, money, and calculations while also providing good results. Indian food database of the 12 classrooms with 710 pictures in each class used for training and certification." @default.
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- W4312480582 date "2022-01-01" @default.
- W4312480582 modified "2023-10-15" @default.
- W4312480582 title "Indian Food Image Classification with Transfer Learning" @default.
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- W4312480582 doi "https://doi.org/10.1007/978-981-19-2350-0_10" @default.
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