README.md

metadata

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: 7060443242
      num_examples: 96800
    - name: test
      num_bytes: 1821009841.2
      num_examples: 24200
  download_size: 9888605889
  dataset_size: 8881453083.2
language:
  - en
tags:
  - food101
  - image classification
size_categories:
  - 10K<n<100K

Dataset Details

Dataset Description

This dataset is the combination of the Food101, Indian Food Classification and The-massive-Indian-Food-Dataset 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. Maximum resolution of images is 512*512.

The Food121-224 dataset has all images downscaled to a maximum resolution of 224*224.

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