Datasets:
File size: 4,947 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: 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
task_categories:
- image-classification
---
## Dataset Details
### Dataset Description
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. Maximum resolution of images is 512*512.
The [Food121-224](https://huggingface.co/datasets/ItsNotRohit/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 |