Baseline CNN RGB + Depth Carbohydrate Regression
This model predicts dish-level carbohydrate content from overhead RGB images and overhead depth images from Nutrition5K.
Dataset
- Based on a filtered official split universe
- Train: 2421 dishes
- Validation: 334 dishes
- Test: 507 dishes
Architecture
- Dual-input CNN
- One RGB branch
- One depth branch
- Feature fusion head
- Dense regression output
Target
total_carb
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