Caloric and Nutritional Information Using Image Classification of Restaurant Food
نویسنده
چکیده
Self-reported calorie estimation tends to be inaccurate and unreliable, while accurate automated estimation is expensive. Close to half of all Americans are trying to loose weight, and a significant number therefore try to track their calorie intake, self-monitored or with professionals. The Smart Remote Food Photography Method (SRFPM) archives significant accuracy of classification of fast food using SVM’s. This will allow the cost of accurate automated estimation to go down by reducing the amount of work the operators at the estimation facility has to do.
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