Recognition and Classification of Fast-Food Images

We have used a pre trained Convolutional Neural Network as a feature extractor to train an image category classifier. After working on two benchmark databases, we got the success rate of 99.5% which is higher than the accuracy achieved using bag of features (BoF) and SURF.

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Recognition and Classification of Fast-Food Images

Food recognition and calorie extraction using Bag-of-SURF and Spatial Pyramid Matching methods