---
license: mit
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': apple_pie
          '1': baby_back_ribs
          '2': baklava
          '3': beef_carpaccio
          '4': beef_tartare
          '5': beet_salad
          '6': beignets
          '7': bibimbap
          '8': biryani
          '9': bread_pudding
          '10': breakfast_burrito
          '11': bruschetta
          '12': caesar_salad
          '13': cannoli
          '14': caprese_salad
          '15': carrot_cake
          '16': ceviche
          '17': chai
          '18': chapati
          '19': cheese_plate
          '20': cheesecake
          '21': chicken_curry
          '22': chicken_quesadilla
          '23': chicken_wings
          '24': chocolate_cake
          '25': chocolate_mousse
          '26': chole_bhature
          '27': churros
          '28': clam_chowder
          '29': club_sandwich
          '30': crab_cakes
          '31': creme_brulee
          '32': croque_madame
          '33': cup_cakes
          '34': dabeli
          '35': dal
          '36': deviled_eggs
          '37': dhokla
          '38': donuts
          '39': dosa
          '40': dumplings
          '41': edamame
          '42': eggs_benedict
          '43': escargots
          '44': falafel
          '45': filet_mignon
          '46': fish_and_chips
          '47': foie_gras
          '48': french_fries
          '49': french_onion_soup
          '50': french_toast
          '51': fried_calamari
          '52': fried_rice
          '53': frozen_yogurt
          '54': garlic_bread
          '55': gnocchi
          '56': greek_salad
          '57': grilled_cheese_sandwich
          '58': grilled_salmon
          '59': guacamole
          '60': gyoza
          '61': hamburger
          '62': hot_and_sour_soup
          '63': hot_dog
          '64': huevos_rancheros
          '65': hummus
          '66': ice_cream
          '67': idli
          '68': jalebi
          '69': kathi_rolls
          '70': kofta
          '71': kulfi
          '72': lasagna
          '73': lobster_bisque
          '74': lobster_roll_sandwich
          '75': macaroni_and_cheese
          '76': macarons
          '77': miso_soup
          '78': momos
          '79': mussels
          '80': naan
          '81': nachos
          '82': omelette
          '83': onion_rings
          '84': oysters
          '85': pad_thai
          '86': paella
          '87': pakoda
          '88': pancakes
          '89': pani_puri
          '90': panna_cotta
          '91': panner_butter_masala
          '92': pav_bhaji
          '93': peking_duck
          '94': pho
          '95': pizza
          '96': pork_chop
          '97': poutine
          '98': prime_rib
          '99': pulled_pork_sandwich
          '100': ramen
          '101': ravioli
          '102': red_velvet_cake
          '103': risotto
          '104': samosa
          '105': sashimi
          '106': scallops
          '107': seaweed_salad
          '108': shrimp_and_grits
          '109': spaghetti_bolognese
          '110': spaghetti_carbonara
          '111': spring_rolls
          '112': steak
          '113': strawberry_shortcake
          '114': sushi
          '115': tacos
          '116': takoyaki
          '117': tiramisu
          '118': tuna_tartare
          '119': vadapav
          '120': waffles
  splits:
  - name: train
    num_bytes: 2004526002
    num_examples: 96800
  - name: test
    num_bytes: 513682668.4
    num_examples: 24200
  download_size: 3295817653
  dataset_size: 2518208670.4
language:
- en
tags:
- food101
- image classification
size_categories:
- 10K<n<100K
task_categories:
- image-classification
---
## Dataset Details

### Dataset Description

This dataset is the downscaled version of the [Food121](https://huggingface.co/datasets/ItsNotRohit/Food121) dataset. All images are downscaled to a maximum of 224*224.


This dataset is the combination of the [Food101](https://huggingface.co/datasets/food101), [Indian Food Classification](https://www.kaggle.com/datasets/l33tc0d3r/indian-food-classification) and [The-massive-Indian-Food-Dataset](https://www.kaggle.com/datasets/anshulmehtakaggl/themassiveindianfooddataset) datasets.
This Dataset aims to be a viable dataset for Image Classification of Foods with an added Indian context. This dataset has 121 classes with each class having 800 images in the train split and 200 images in the test split.

### Dataset Sources

- **Food101:** https://huggingface.co/datasets/food101
- **Indian Food Classification:** https://www.kaggle.com/datasets/l33tc0d3r/indian-food-classification
- **The-massive-Indian-Food-Dataset:** https://www.kaggle.com/datasets/anshulmehtakaggl/themassiveindianfooddataset