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Add basic info + metadata
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README.md
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num_bytes: 611741947.222
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num_examples: 3809
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- name: test
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num_bytes: 153961285
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num_examples: 961
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download_size: 688922167
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dataset_size: 765703232.222
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---
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num_bytes: 611741947.222
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num_examples: 3809
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- name: test
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num_bytes: 153961285
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num_examples: 961
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download_size: 688922167
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dataset_size: 765703232.222
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task_categories:
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- image-classification
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language:
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- en
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pretty_name: indian-foods
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size_categories:
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- 1K<n<10K
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---
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# Dataset Card for Indian Foods Dataset
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## Dataset Description
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- **Homepage:** https://www.kaggle.com/datasets/anshulmehtakaggl/themassiveindianfooddataset
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- **Repository:** https://www.kaggle.com/datasets/anshulmehtakaggl/themassiveindianfooddataset
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:** https://www.kaggle.com/anshulmehtakaggl
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### Dataset Summary
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This is a multi-category(multi-class classification) related Indian food dataset showcasing [The-massive-Indian-Food-Dataset](https://www.kaggle.com/datasets/anshulmehtakaggl/themassiveindianfooddataset).
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This card has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
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### Supported Tasks and Leaderboards
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[More Information Needed]
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### Languages
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English
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## Dataset Structure
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```json
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{
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"image": <PIL image of the food item>
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"label": class
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}
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```
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where the categories are one of `biryani, cholebhature, jalebi, kofta, naan, paneer, panipuri, pavbhaji, dabeli, dhokla, dosa, kathiroll, pakora, vadapav`
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### Data Instances
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Each instance is a picture of the Indian food item,along with the category it belongs to.
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#### Initial Data Collection and Normalization
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Collection by Scraping data from Google Images + Leveraging some JS Functions.
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All the images are resized to (300,300) to maintain size uniformity.
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### Dataset Curators
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[Anshul Mehta](https://www.kaggle.com/anshulmehtakaggl)
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### Licensing Information
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[CC0: Public Domain](https://creativecommons.org/publicdomain/zero/1.0/)
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### Citation Information
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[The Massive Indian Foods Dataset](https://www.kaggle.com/datasets/anshulmehtakaggl/themassiveindianfooddataset)
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