deit_base_distilled_patch16_384_imagenet carbohydrate regression
This model predicts total carbohydrate from overhead RGB food images.
Training setup
- Backbone preset:
deit_base_distilled_patch16_384_imagenet - Input size:
384x384 - Resize method:
tf.image.resize_with_pad - Framework: TensorFlow / Keras
- Training protocol: 2-stage fine-tuning
Test results
Stage 1
- Loss: 94.6982
- MAE: 6.4954
- MSE: 94.6982
Stage 2
- Loss: 62.9580
- MAE: 5.3268
- MSE: 62.9580
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