---
license: cc0-1.0
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': biryani
          '1': cholebhature
          '2': dabeli
          '3': dal
          '4': dhokla
          '5': dosa
          '6': jalebi
          '7': kathiroll
          '8': kofta
          '9': naan
          '10': pakora
          '11': paneer
          '12': panipuri
          '13': pavbhaji
          '14': vadapav
  splits:
  - name: train
    num_bytes: 611741947.222
    num_examples: 3809
  - name: test
    num_bytes: 153961285
    num_examples: 961
  download_size: 688922167
  dataset_size: 765703232.222
task_categories:
- image-classification
- text-to-image
language:
- en
pretty_name: indian-foods
size_categories:
- 1K<n<10K
---

# Dataset Card for Indian Foods Dataset

## Dataset Description

- **Homepage:** https://www.kaggle.com/datasets/anshulmehtakaggl/themassiveindianfooddataset 
- **Repository:** https://www.kaggle.com/datasets/anshulmehtakaggl/themassiveindianfooddataset
- **Paper:** 
- **Leaderboard:** 
- **Point of Contact:** https://www.kaggle.com/anshulmehtakaggl

### Dataset Summary

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). 
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).

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

English

## Dataset Structure
```json
{
  "image": <PIL image of the food item>
  "label": class
}
```
where the categories are one of `biryani, cholebhature, jalebi, kofta, naan, paneer, panipuri, pavbhaji, dabeli, dhokla, dosa, kathiroll, pakora, vadapav`
### 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](https://www.kaggle.com/anshulmehtakaggl)


### Licensing Information

[CC0: Public Domain](https://creativecommons.org/publicdomain/zero/1.0/)

### Citation Information

[The Massive Indian Foods Dataset](https://www.kaggle.com/datasets/anshulmehtakaggl/themassiveindianfooddataset)