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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/102843
Convolutional neural networks for the recognition of food related environments
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In this work we are going to experiment with convolutional neural networks with the objective of recognizing food related environments. Through our project we are going to analyze which sections of the images are being targeted to classify the image in one category or in other.
Lastly we are going to benchmark how much the nets are learning using confusion matrices to visualize which categories are harder to classify.
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Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2016, Director: Petia Radeva
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LLORENTE PINEDA, Edgar. Convolutional neural networks for the recognition of food related environments. [consulted: 7 of October of 2026]. Available at: https://hdl.handle.net/2445/102843