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image
imagewidth (px)
200
8.69k
label
class label
12 classes
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Dataset for project: food-category-classification-v2.0

Dataset Description

This dataset for project food-category-classification-v2.0 was scraped with the help of a bulk google image downloader.

Dataset Structure

Dataset Fields

The dataset has the following fields (also called "features"):

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(names=['Bread', 'Dairy', 'Dessert', 'Egg', 'Fried Food', 'Fruit', 'Meat', 'Noodles', 'Rice', 'Seafood', 'Soup', 'Vegetable'], id=None)"
}

Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follows:

Split name Num samples
train 1200
valid 300
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Models trained or fine-tuned on Kaludi/food-category-classification-v2.0