ItsNotRohit/Food121

---
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

This dataset is a combination of the Food101, Indian Food Classification, and The-massive-Indian-Food-Dataset. It 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. The maximum resolution of the images is 512*512. Additionally, there is a version of the dataset, Food121-224, where all images are downscaled to a maximum resolution of 224*224.

原始信息汇总

数据集详情

数据集描述

该数据集是Food101、Indian Food Classification和The-massive-Indian-Food-Dataset数据集的组合。该数据集旨在成为食品图像分类的可行数据集，并增加了印度背景。该数据集包含121个类别，每个类别在训练集中有800张图像，在测试集中有200张图像。图像的最大分辨率为512*512。

数据集配置

• 默认配置：
  • 训练集：路径为data/train-*
  • 测试集：路径为data/test-*

数据集特征

• 图像：数据类型为图像
• 标签：数据类型为类别标签，包含121个类别名称，如：
  • 0: apple_pie
  • 1: baby_back_ribs
  • 2: baklava
  • ...
  • 120: waffles

数据集分割

• 训练集：
  • 字节数：7060443242
  • 样本数：96800
• 测试集：
  • 字节数：1821009841.2
  • 样本数：24200

数据集大小

• 下载大小：9888605889字节
• 数据集大小：8881453083.2字节

语言

• 英语（en）

标签

• food101
• image classification

大小类别

• 10K<n<100K

任务类别

• image-classification