A multiclass classification for the different types of food images using tensorflow and keras
The dataset being used is Food 101
- This dataset has 101000 images in total. It's a food dataset with 101 categories(multiclass)
- Each type of food has 750 training samples and 250 test samples
The model architecture is as below.
(Performed transfer learning on EfficientNetB0 model archtiture for feature extraction and fine tuning)