task_categories:image-classification size_categories:100K<n<1M language:en license:apache-2.0 region:us
---
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': bread_pudding
          '9': breakfast_burrito
          '10': bruschetta
          '11': caesar_salad
          '12': cannoli
          '13': caprese_salad
          '14': carrot_cake
          '15': ceviche
          '16': cheese_plate
          '17': cheesecake
          '18': chicken_curry
          '19': chicken_quesadilla
          '20': chicken_wings
          '21': chocolate_cake
          '22': chocolate_mousse
          '23': churros
          '24': clam_chowder
          '25': club_sandwich
          '26': crab_cakes
          '27': creme_brulee
          '28': croque_madame
          '29': cup_cakes
          '30': deviled_eggs
          '31': donuts
          '32': dumplings
          '33': edamame
          '34': eggs_benedict
          '35': escargots
          '36': falafel
          '37': filet_mignon
          '38': fish_and_chips
          '39': foie_gras
          '40': french_fries
          '41': french_onion_soup
          '42': french_toast
          '43': fried_calamari
          '44': fried_rice
          '45': frozen_yogurt
          '46': garlic_bread
          '47': gnocchi
          '48': greek_salad
          '49': grilled_cheese_sandwich
          '50': grilled_salmon
          '51': guacamole
          '52': gyoza
          '53': hamburger
          '54': hot_and_sour_soup
          '55': hot_dog
          '56': huevos_rancheros
          '57': hummus
          '58': ice_cream
          '59': lasagna
          '60': lobster_bisque
          '61': lobster_roll_sandwich
          '62': macaroni_and_cheese
          '63': macarons
          '64': miso_soup
          '65': mussels
          '66': nachos
          '67': omelette
          '68': onion_rings
          '69': oysters
          '70': pad_thai
          '71': paella
          '72': pancakes
          '73': panna_cotta
          '74': peking_duck
          '75': pho
          '76': pizza
          '77': pork_chop
          '78': poutine
          '79': prime_rib
          '80': pulled_pork_sandwich
          '81': ramen
          '82': ravioli
          '83': red_velvet_cake
          '84': rice_meal
          '85': risotto
          '86': samosa
          '87': sashimi
          '88': scallops
          '89': seaweed_salad
          '90': shrimp_and_grits
          '91': spaghetti_bolognese
          '92': spaghetti_carbonara
          '93': spring_rolls
          '94': steak
          '95': strawberry_shortcake
          '96': sushi
          '97': tacos
          '98': takoyaki
          '99': tiramisu
          '100': tuna_tartare
          '101': waffles
  splits:
  - name: train
    num_bytes: 4881528176.3
    num_examples: 101100
  download_size: 5108984474
  dataset_size: 4881528176.3
license: apache-2.0
task_categories:
- image-classification
language:
- en
pretty_name: food101+Iraqi-rice-meal
size_categories:
- 100K<n<1M
extra_gated_prompt: "You agree to not attempt to determine the identity of individuals in this dataset"
extra_gated_fields:
 Name: text
 Country: text
 Email: text
 I agree to use this model for non-commercial use ONLY: checkbox

---

## Dataset Card for Food-102 (Food101+Iraqi-rice-male )

Dataset Name: Food-102

Dataset Summary:
Food-102 is an updated version of the Food-101 dataset, now expanded to include 102 food categories. It consists of a total of 102,000 images, with 750 training images and 250 manually reviewed test images provided for each category. The dataset aims to enable food classification tasks and provide a diverse range of food images for research and development purposes. The training images in Food-102 have intentionally not been cleaned, allowing for some level of noise, such as intense colors and occasional mislabeled images. All images in the dataset have been rescaled to have a maximum side length of 512 pixels.

## Additional Information:
- Number of Categories: 102
- Total Images: 101,100
- Training Images per Category: 75825
- Test Images per Category: 25275
- Image Noise: The training images may contain some noise, including intense colors and occasional mislabeled images.
- Image Rescaling: All images in the dataset have been resized to have a maximum side length of 512 pixels.

## Note:
The newly added category "Iraqi rice male food" is not specifically mentioned as part of the Food-101 dataset. If you require further details or have any specific questions about the dataset, please let me know.