Shad0wKillar/efficientnet-b1
Image Classification β’ Updated β’ 1
image imagewidth (px) 289 512 | label class label 3
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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.
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.
The dataset is organized in a standard PyTorch ImageFolder compatible layout:
train/
βββ pizza/
βββ steak/
βββ sushi/
test/
βββ pizza/
βββ steak/
βββ sushi/