GitHub - divyalaldinani/FoodLens: This model utilizes Convolutional Neural Networks (CNNs) implemented in TensorFlow to classify images into 101 distinct food categories. The model leverages transfer learning by fine-tuning a pre-trained CNN architecture (e.g., Inception, ResNet, or MobileNet) on a large and diverse food image dataset.

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This model utilizes Convolutional Neural Networks (CNNs) implemented in TensorFlow to classify images into 101 distinct food categories. The model leverages transfer learning by fine-tuning a pre-trained CNN architecture (e.g., Inception, ResNet, or MobileNet) on a large and diverse food image dataset.