Image-based Thai Food Recognition and Calorie Estimation using Machine Learning Techniques

Author:

Sombutkaew Rattikorn1,Chitsobhuk Orachat2

Affiliation:

1. King Mongkut’s Institute of Technology Ladkrabang,Prince of Chumphon Campus,Chumphon,Thailand

2. King Mongkut’s Institute of Technology Ladkrabang,School of Engineering,Bangkok,Thailand

Publisher

IEEE

Reference31 articles.

1. ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation;paszke;Computer Vision and Pattern Recognition,2017

2. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

3. Development of A Food Categories and Calories Estimation Full Stack System Based on Multi-CNNs Structures;sukvichai;Journal of Engineering and Digital Technology,2020

4. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

5. The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

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3. A Deep Learning Neural Network-based System for Food Recognition and Calorie Estimation;2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA);2023-12-21

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