The Autonomous Nutrient and Calorie Analytics from a Thai Food Image
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Abstract
Thai traditional gastronomy and food has existed in a long time together with Thailand’s art and history. Proudly, Thai food is currently one of the best tastes in the world that most ingredients are agriculturally grown on Thai soil. Those ingredients affect the nutrient substances and calories. Since the nutritionists can estimate the nutrients and calories from a food image by their eyes. Made up of kitchen intelligence from big data, the nutrients and calories can be autonomously estimated using only a Thai food image, based on Convolutional Neural Network (CNN) – one of deep learning family used for pixel data. All nutrients and calories are shown to users. We used the collection of 56,258 Thai food images to create the deep learning model with the global accuracy of model as 0.76. All images cover 15 Thai foods that are crawled by bots and are used to train the deep learning based analytic model.
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