Datasets:
File size: 4,928 Bytes
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---
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 |