/ITCS402-PJ_Thai_Food_Image_Recognition

In this project, we tried to create 🍝 Thai food image classifiers. There are 2 major phases of the project: the MATLAB phase and the PYTHON phase. 1️⃣ The first phase tried to compare feature extractor CNN with SVM and basic euclidean distance feature matching for the Thai food image classification task. 2️⃣ In the second phase, eight deep learning-based models are implemented consisting of both training from scratch and transfer learning models. We evaluated the performance of each model and summarize them.

Primary LanguageJupyter Notebook

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