Open AccessJournal Article
Food Classification Using Deep Learning
TL;DR: In this paper, pre-trained models are used in this project which save the computation time and cost and also has given better results than the traditional methods of building a model from scratch.
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Abstract: Image classification has become less complicated with deep learning and availability of larger datasets and computational assets. The Convolution neural network is the most popular and extensively used image classification technique in the latest days. Image classification is performed on diverse food dataset using various transfer learning techniques. The food plays a vital role in human’s life as it provides us different nutrients and consequently it is necessary for every individual to maintain a watch on their eating habits. Therefore, food classification is a quintessential thing for a healthier lifestyle. Unlike the traditional methods of building a model from the scratch, pre trained models are used in this project which saves the computation time and cost and also has given better results. The food dataset of many classes with many images in each class is used for training and validating. Using these pre-trained models, the given food will be recognized, and the nutrient content will be predicted based on the colour in the image
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References
Food Image Recognition with Convolutional Neural Networks
TL;DR: The effect of color under various conditions that the color feature is not always helpful for improving the accuracy by comparing the results of two group of controlled trials is discovered.
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A Deep Convolutional Neural Network for Food Detection and Recognition
TL;DR: A new deep convolutional neural network configuration is proposed to detect and recognize local food images and it was found out that convolution masks show that the features of food color dominate the features map.
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A Comparative Study of Indian Food Image Classification Using K-Nearest-Neighbour and Support-Vector-Machines
TL;DR: This paper proposes an automatic food detection system that detects and recognises varieties of Indian food using a combined colour and shape features and shows the higher efficiency of SVM classifier over KNN classifier.