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Computer Vision

Food Vision Project

Food classification model using transfer learning on the Food101 dataset.

2023 Computer Vision
Food Vision Project

About This Project

Trained transfer learning models (EfficientNetV2B0) with TensorFlow on Food101 dataset subsets. Compared feature extraction vs fine-tuning with and without data augmentation. Implemented checkpointing for best model saving and achieved robust food image classification.

Key Features

  • Transfer learning experiments
  • Data augmentation pipeline
  • Model checkpointing
  • Performance comparison

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