Classification of food images from 101 classes using EfficientNetB0. Dataset used is Food101 dataset. The aim of this project is to build a model which beats the baseline DeepFood, a 2016 paper which used a Convolutional Neural Network trained for 2-3 days to achieve 77.4% top-1 accuracy.
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RishitSingh10/Multiclass-Image-Classification
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