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Dataset Card for Indian Foods Dataset

Dataset Summary

This is a multi-category(multi-class classification) related Indian food dataset showcasing The-massive-Indian-Food-Dataset. This card has been generated using this raw template.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

English

Dataset Structure

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(names=['biryani', 'cholebhature', 'dabeli', 'dal', 'dhokla', 'dosa', 'jalebi', 'kathiroll', 'kofta', 'naan', 'pakora', 'paneer', 'panipuri', 'pavbhaji', 'vadapav'], id=None)"
}

Dataset Splits

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

Split name Num samples
train 3809
test 961

Data Instances

Each instance is a picture of the Indian food item, along with the category it belongs to.

Initial Data Collection and Normalization

Collection by Scraping data from Google Images + Leveraging some JS Functions. All the images are resized to (300,300) to maintain size uniformity.

Dataset Curators

Anshul Mehta

Licensing Information

CC0: Public Domain

Citation Information

The Massive Indian Foods Dataset

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