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Inside consegna the finished working project

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git commit -m "messagge"
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NOTE! first check to have a clean working tree using git status

git pull

Road map:

  • Data preprocessing: Process the images by resizing them to a common size, converting them to grayscale or RGB, and normalizing the pixel values.

  • Create the validation test from the train test.

  • Convolutional neural network: train a convolutional neural network on the preprocessed images to classify them into different categories.

  • Cast the problem as self-supervised learning

  • Model evaluation: evaluate the performance of the models using metrics such as accuracy, precision, recall, and F1-score.

  • Hyperparameter Tuning: fine-tune the hyperparameters of the model to achieve a better performance.

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Food classification with <1M parameters

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