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Pizza, Steak, and Sushi Image Dataset (20% Subset)

This dataset is a custom, 20% random subset of the original Food101 dataset, specifically filtered to contain only three classes: Pizza, Steak, and Sushi.

It is designed for lightweight image classification experiments and PyTorch tutorials.

Dataset Structure

The data is pre-split into train and test directories. The split ratios mirror the original Food101 dataset splits (which defaults to a 75/25 train/test ratio), but scaled down to a 20% random sampling.

Image Counts

  • Total Images: 600
  • Train Split: 450 images
    • Pizza: 154 images
    • Sushi: 150 images
    • Steak: 146 images
  • Test Split: 150 images
    • Pizza: 46 images
    • Sushi: 46 images
    • Steak: 58 images

Directory Format

The dataset is organized in a standard PyTorch ImageFolder compatible layout:

train/
β”œβ”€β”€ pizza/
β”œβ”€β”€ steak/
└── sushi/
test/
β”œβ”€β”€ pizza/
β”œβ”€β”€ steak/
└── sushi/
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