VGG16 30VNFoods

PyTorch VGG16 trained on the processed 30 Vietnamese Foods dataset.

Dataset

Processed dataset from Kaggle: trinhtrantran122/CS231_30VNFoods_processed.

Preprocessing

  • Train: RandomResizedCrop(224, scale=(0.7, 1.0), ratio=(0.75, 1.33)), horizontal flip, color jitter, ImageNet normalization.
  • Validation/Test: resize to 224 x 224, ImageNet normalization.

Metrics

  • Best validation accuracy: 0.8436
  • Test accuracy: 0.8278
  • Test loss: 0.6497

Files

  • best_vgg16_30vnfoods.pt: best PyTorch checkpoint.
  • last_vgg16_30vnfoods.pt: final checkpoint.
  • config.json: class names and preprocessing metadata.
  • metrics.json: validation/test metrics.
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