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Food object detection with base Faster R-CNN TensorFlow model with k-fold cross validation, resulting in volume estimation and producing caloric data.

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1. Try using a more simpler model 2. Try to find a new detection algorithm

I enjoyed the tutorial you uploaded. I just have one question to ask. 1. The uploaded create_run_model.py file is the same as model_main_tf2.py provided by the existing Tensorflow2 Object detection...

- Calculate volume (1 person) - Calculate calorie (1 person) - Calculate accuracy based on the dataset info + graphs and shit, results (1 person)