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imagedata

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This project involves developing a Convolutional Neural Network (CNN) model for classifying food images using the Food101 dataset. Utilizing transfer learning with EfficientNetV2B0 as the base model, the goal is to achieve high accuracy in classifying images into 101 different food categories. The model is fine-tuned to reach an accuracy of 81%.

  • Updated Jun 2, 2024
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