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This model is a deep learning model for classifying food images into one of 101 categories from the Food101 dataset. It was trained using TensorFlow and likely employs a transfer learning approach, leveraging the features learned by a model pre-trained on a large dataset like ImageNet. The training process included the use of mixed precision for potentially faster training and reduced memory usage.
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* **Developed by:** `Recompense` Me!
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* **Model type:** Image Classification (Transfer Learning with a CNN backbone)
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* **Language(s) (NLP):** N/A (Image Classification)
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This model is a deep learning model for classifying food images into one of 101 categories from the Food101 dataset. It was trained using TensorFlow and likely employs a transfer learning approach, leveraging the features learned by a model pre-trained on a large dataset like ImageNet. The training process included the use of mixed precision for potentially faster training and reduced memory usage.
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## Model in Huggingface Spaces(Try it out!)
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[Use it here](https://recompense-foodvision.hf.space)
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* **Developed by:** `Recompense` Me!
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* **Model type:** Image Classification (Transfer Learning with a CNN backbone)
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* **Language(s) (NLP):** N/A (Image Classification)
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